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1
Soille, P., and P. Vogt. "MORPHOLOGICAL SPATIAL PATTERN ANALYSIS: OPEN SOURCE RELEASE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 427–33. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-427-2022.
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Abstract. The morphological segmentation of binary patterns provides an effective method for characterising spatial patterns with emphasis on connections between their parts as measured at varying analysis scales. The method is widely used for the analysis of landscape patterns such as those related to the fragmentation of forests or other natural land cover classes. This can be explained by its effectiveness at capturing the complexity of binary patterns and their connections by partitioning the foreground pixels of the corresponding binary images into mutually exclusive classes. While the principles of the method are conceptually simple, the definition of the classes relies on a series of advanced mathematical morphology operations whose actual implementation is not straightforward. In this paper, we propose an open source code for MSPA and detail its main components in the form of pseudo-code. We demonstrate its effectiveness for asynchronous processing of tera-pixel images and the synchronous exploratory analysis and rendering with Jupyter notebooks.
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Lin, Jinyao, Yijuan Zeng, and Yuqi He. "Spatial Optimization with Morphological Spatial Pattern Analysis for Green Space Conservation Planning." Forests 14, no. 5 (2023): 1031. http://dx.doi.org/10.3390/f14051031.
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Conservation areas are essential for preserving green spaces and biological diversity. Although previous studies have demonstrated that spatial optimization techniques are effective for balancing the relationship between ecological importance and spatial pattern during conservation practices, the design of ecological corridors still requires an efficient, intelligent, and flexible workflow. In addition, functional connectivity information is usually unavailable or very difficult to obtain. To alleviate these problems, this paper has developed a new spatial optimization-based model that combines morphological spatial pattern analysis (MSPA) with ecological importance assessment. The consideration of MSPA can guarantee enough ecological corridors in the conservation plan, while the regions with higher ecological importance can be discovered through an ecological importance assessment. This method has been applied to the planning of conservation areas in a highly developed city. Several experiments have indicated that our proposed model could achieve much better performance than conventional models in terms of spatial pattern. Therefore, this new model is expected to assist decision processes during the planning and regulation of green spaces in fragmented urban ecosystems. Furthermore, it can be applied to ecological management and planning in many other aspects because the above-mentioned research gaps are not unique to only Asian or less-developed countries.
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Escoriza, Daniel, Santiago Poch, and Dani Boix. "Spatial Patterns in the Morphological Diversity of Madagascan Frogs." Ecologies 4, no. 3 (2023): 499–511. http://dx.doi.org/10.3390/ecologies4030032.
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Madagascar is a biodiversity hotspot, containing a large proportion of endemic species. To make conservation efforts more effective, it is necessary to understand the spatial distribution of this huge biodiversity. In this study, the patterns of morphological variation and diversity in the adult anurans of Madagascar were evaluated and compared across different climatic regions. These patterns were investigated for 370 species (2360 specimens), and the variation in 13 morphological traits obtained from taxonomic databases was assessed. The results revealed differences in body size distribution across climatic regions and that the most morphologically distinctive species occur in humid regions. The analysis also showed that anuran assemblages tend to be more species-rich, more morphologically diverse, and more morphologically clustered in tropical rainforests. These patterns are attributable to regional variations in the amount and seasonality of precipitation. An understanding of the complex patterns of spatial diversity could be useful for regional prioritization in the conservation of Madagascan anurans.
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Rafique, Muhammad Aasim. "Exploiting Temporal Features in Calculating Automated Morphological Properties of Spiky Nanoparticles Using Deep Learning." Sensors 24, no. 20 (2024): 6541. http://dx.doi.org/10.3390/s24206541.
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Object segmentation in images is typically spatial and focuses on the spatial coherence of pixels. Nanoparticles in electron microscopy images are also segmented frame by frame, with subsequent morphological analysis. However, morphological analysis is inherently sequential, and a temporal regularity is evident in the process. In this study, we extend the spatially focused morphological analysis by incorporating a fusion of hard and soft inductive bias from sequential machine learning techniques to account for temporal relationships. Previously, spiky Au nanoparticles (Au-SNPs) in electron microscopy images were analyzed, and their morphological properties were automatically generated using a hourglass convolutional neural network architecture. In this study, recurrent layers are integrated to capture the natural, sequential growth of the particles. The network is trained with a spike-focused loss function. Continuous segmentation of the images explores the regressive relationships among natural growth features, generating morphological statistics of the nanoparticles. This study comprehensively evaluates the proposed approach by comparing the results of segmentation and morphological properties analysis, demonstrating its superiority over earlier methods.
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Zeng, Suiping, Jiahao Zhang, and Jian Tian. "Analysis and Optimization of Thermal Environment in Old Urban Areas from the Perspective of “Function–Form” Differentiation." Sustainability 15, no. 7 (2023): 6172. http://dx.doi.org/10.3390/su15076172.
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High-density urban areas have spatial characteristics, such as complex functions, population gathering, and complex forms, that lead to more severe urban heat island effects. Systematically evaluating the thermal environmental benefits of urban spatial forms to optimize the urban physical environment is important. In this study, Tianjin’s central urban area, which is a typical representative of high-density urban areas, was selected to invert the multi-period land surface temperature by relying on the existing two- and three-dimensional morphological data set of communities. The multi-scale geographically weighted regression model was used to fit the regression relationship between the urban land surface temperature and spatial morphological parameters. From this, the influencing factors of different types of existing community spaces and their spatial stabilities were explored. The results show the following: (1) The summer surface temperature varies greatly in the central urban area, and the high-temperature areas are mainly distributed in the industrial, residential, and commercial districts. (2) The MGWR model has the better model-fitting ability. The positive influence coefficients of temperature include ISP and BD, while the negative influence coefficients are BSD, BH, NDVI, and SVF. (3) There is significant spatial heterogeneity in the impact coefficients among the blocks that can be targeted to mitigate the heat island effect. This study provides ideas for optimizing the spatial morphological parameters of surface temperature in urban centers. Future challenges include increasing the spatial morphological parameter selection range, dissecting the interactive relationships between spatial morphological parameters and their effectiveness on the surface temperature, and refining the study’s spatial and temporal granularity.
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Mohamed, Syahidah Amni, Nor Zalina Harun, Nor Haslina Ja'afar, and Nurul Izzati Othmani. "Urban Morphological Analysis Framework for Sustainable Malay Town Transition in Response to COVID 19." International Journal of Built Environment and Sustainability 9, no. 2-2 (2022): 67–74. http://dx.doi.org/10.11113/ijbes.v9.n2-2.1023.
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Current approaches applied in the historical analysis on the morphological evolution of early Malay towns primarily focused on describing how cities were formed and transformed without much emphasis on how they can be analysed. Considering cities as urban organisms experiencing rapid growth, achieving a sustainable urban transition would be impossible without understanding the process of initial formation and spatial uniqueness that comprise the Malay town. However, analysing the particular kind of processes requires a comprehensive understanding of each hierarchical level of morphological elements, which, therefore, posed a greater challenge in excerpting Malay town's dynamic and organic growth pattern-development. This study attempt to develop the methodological process of urban morphological analysis framework concerning the Malay town context. With the adoption of the historic-geographical approach as the method of analysis, the study applied two different spatial scales as the basis of the analysis process, that is, plan-units analysis and morphological evolution analysis. The findings unveiled the inherent morphogenesis processes of Malay towns central to the spatial structure of Kota, represent a town that functioned as a territorial base with settlements of Kampung as the archetype of the morphological unit. Through depicting the spatial boundary of Dalam Kota and Luar Kota, the fixation line of the growth process in Malay town can be identified, which is imperative to the functioning system of the town. Accordingly, developing the systematic morphological analysis process aids in providing a clear and responsive strategy for managing the changing process of Malay towns to ensure a sustainable transition for resilient communities and territories
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Noyel, Guillaume, Jesús Angulo, and Dominique Jeulin. "MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES." Image Analysis & Stereology 26, no. 3 (2011): 101. http://dx.doi.org/10.5566/ias.v26.p101-109.
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The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers and a vectorial gradient which gives the spatial information. Several alternative gradients are adapted to the different hyperspectral functions. Data reduction is performed either by Factor Analysis or by model fitting. Image segmentation is done on different spaces: factor space, parameters space, etc. On all these spaces the spatial/spectral segmentation approach is applied, leading to relevant results on the image.
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Song, Tianci, Kathleen K. Markham, Zhuliu Li, Kristen E. Muller, Kathleen Greenham, and Rui Kuang. "Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network." Bioinformatics 38, no. 5 (2021): 1344–52. http://dx.doi.org/10.1093/bioinformatics/btab812.
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Abstract Motivation Clustering spatial-resolved gene expression is an essential analysis to reveal gene activities in the underlying morphological context by their functional roles. However, conventional clustering analysis does not consider gene expression co-localizations in tissue for detecting spatial expression patterns or functional relationships among the genes for biological interpretation in the spatial context. In this article, we present a convolutional neural network (CNN) regularized by the graph of protein–protein interaction (PPI) network to cluster spatially resolved gene expression. This method improves the coherence of spatial patterns and provides biological interpretation of the gene clusters in the spatial context by exploiting the spatial localization by convolution and gene functional relationships by graph-Laplacian regularization. Results In this study, we tested clustering the spatially variable genes or all expressed genes in the transcriptome in 22 Visium spatial transcriptomics datasets of different tissue sections publicly available from 10× Genomics and spatialLIBD. The results demonstrate that the PPI-regularized CNN constantly detects gene clusters with coherent spatial patterns and significantly enriched by gene functions with the state-of-the-art performance. Additional case studies on mouse kidney tissue and human breast cancer tissue suggest that the PPI-regularized CNN also detects spatially co-expressed genes to define the corresponding morphological context in the tissue with valuable insights. Availability and implementation Source code is available at https://github.com/kuanglab/CNN-PReg. Supplementary information Supplementary data are available at Bioinformatics online.
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Zhao, Zongtao, and Guofeng Dang. "Study on the Temporal and Spatial Evolution of Urban Spatial Morphological Features." Academic Journal of Science and Technology 5, no. 2 (2023): 44–50. http://dx.doi.org/10.54097/ajst.v5i2.6046.
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Based on the Landsat remote sensing images of the fourth phase of Xi'an, the land use data of ENVI interpretation and classification are used to extract the boundaries of Xi'an's built-up areas, and the urban spatial analysis method based on GIS is used to comprehensively analyze the evolution characteristics of urban space in Xi'an in the past 30 years. The research results show that the built-up area in Xi'an has been expanding rapidly since 2000, mainly in the form of extension, the shape of the built-up area tends to expand in all directions, and the overall compactness is low, and the efficiency of urban land use is significantly reduced. The overall development presents spread trend.
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Szmytkie, Robert. "Application of graph theory to the morphological analysis of settlements." Quaestiones Geographicae 36, no. 4 (2017): 65–80. http://dx.doi.org/10.1515/quageo-2017-0036.
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Abstract In the following paper, the analyses of morphology of settlements were conducted using graph methods. The intention of the author was to create a quantifiable and simple measure, which, in a quantitative way, would express the degree of development of a graph (the spatial pattern of settlement). When analysing examples of graphs assigned to a set of small towns and large villages, it was noticed that the graph development index should depend on: a relative number of edges in relation to the number of nodes (β index), the number of cycles (urban blocks), which evidences the complexity of the spatial pattern of settlement, and the average rank of nodes of a graph, which expresses the degree of complexity of a street network.
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Sat, N. Aydan. "Polycentricity in a developing world: A micro-regional analysis for morphological polycentricity in Turkey." GeoScape 12, no. 2 (2018): 64–75. http://dx.doi.org/10.2478/geosc-2018-0007.
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Abstract Following the publication of ‘European Spatial Development Perspective’ in 1999, a large number of theoretical and empirical studies have been carried out on polycentric spatial development especially in European settlements. The relationship between polycentricity and economic competitiveness, environmental sustainability and social cohesion are some of the main concerns of these studies. This study aims to clarify ‘the meaning of polycentricity’ in the case of Turkey, as a developing country and analyse the relationship between polycentric spatial development and economic competitiveness, environmental sustainability and social cohesion. After calculation of morphological polycentricity of the regions at NUTS-5 level, the propositions on the positive effects of polycentric spatial development on economic competitiveness, environmental sustainability and social cohesion is tested by using Pearson correlation and OLS regression models. The results of the empirical study are mixed for these three subjects. Polycentric spatial development has not positive effects on economic competitiveness and social cohesion in Turkey case. Conversely, a positive effect exists in terms of environmental sustainability. It can be said, that to reach those policy aims highlighted by European Spatial Development Perspective, could not be realised by only taken into account polycentric spatial development in Turkey case.
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Gunawan, Eveelyn Febe, Rony Gunawan Sunaryo, and Rully Damayanti. "SPATIAL MORPHOLOGICAL ANALYSIS: DEVELOPMENT OF THE NORTH KREMBANGAN AREA, SURABAYA, INDONESIA." International Journal on Livable Space 9, no. 1 (2024): 1–12. http://dx.doi.org/10.25105/livas.v9i1.19685.
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The North Krembangan area is an old city area in Surabaya, right next to the Kalimas River. This area has experienced several changes from time to time, both in terms of natural context, roads, blocks/lots, and buildings. These changes were influenced by several factors and actors, both from the Dutch government and from the Surabaya government due to the existence of several new needs that were no longer relevant in the conditions during the colonial era. Objectives: To identify the morphology of urban tissue in the North Krembangan area which consists of permanent, non-permanent elements and street front quality Methodology and Results: This research uses the urban tissue methodology by Romice et al as a theory that helps to analyze this area. Conclusion, Significance and Implications: This research found that although the North Krembangan area has relatively low street front quality, this area is still busy and active as a commercial center. Suggestions to improve the area were also made at the end of this research.
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Kang, Sangjun, and Jin-Oh Kim. "Exploratory Analysis of Relationship between Developed Area Types and PM10 concentrations - A Case Study of 14 Municipalities in Gyeonggi-do -." Institute of Art & Design Research 25, no. 2 (2022): 1–7. http://dx.doi.org/10.59386/jadr.2022.25.2.1.
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The purpose of this study is to explore the ranking relationship between developed area types and PM10 concentration. The study site is 14 local governments in Gyeonggi-do, including Gwacheon, Gwangmyeong, Gwangju, Guri, Gunpo, Namyangju, Seongnam, Suwon, Anyang, Osan, Yongin, Uiwang, and Hanam.
 Morphological Spatial Pattern Analysis (MSPA) is performed to understand the morphological spatial pattern of the developed area. Each factor derived as a type of developed area is comparatively analyzed to PM10 concentration by using Spearman Correlation Analysis.
 The main result is that the rank correlation value between the PM10 concentration and the morphological spatial pattern of developed area is very low or almost non-existent in a highly urbanized area. It implies that it might be difficult to observe a particular relationship between the urbanization rate, morphological patterns, and PM10 concentration in highly urbanized areas. It shows that the universal relationship with PM10 concentration can vary depending on the degree of urbanization of the study site.
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Maritimo, Febrian, Wawan Budianta, and Agung Setianto. "DETAIL MORPHOLOGICAL ANALYSIS TO MAPPING SURFACE LITOLOGICAL CHARACTERSTIC UNIT." KURVATEK 10, no. 1 (2025): 99–110. https://doi.org/10.33579/krvtk.v10i1.5740.
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Regional spatial planning requires accurate data according to the planning scale. One of the problems encountered in the analysis of spatial planning in Indonesia is the unavailability of some basic data that have a level of detail according to planning needs, including geological data. RTRWK requires a map at a scale of 1:50,000, while the availability of a Geological Map at a Scale of 1:50,000 from the Ministry of Energy and Mineral Resources is still very limited. This study aims to produce surface geological distribution data and its characteristics needed in spatial planning with a morphological analysis approach. Detailed morphological analysis is carried out by processing Digital Elevation Model data with a spatial resolution of 8 meters. Detailing of the morphological classification is carried out on the BMB classification. Morphological interpretation is carried out in stages by dividing the land surface from general to detailed, producing classes of high ridged hills, low ridged hills, undulating valleys between hills and plains. Landform interpretation is carried out by adding geological structure data and rock types in the analysis, producing landform classes of high hills elongated fault zones, low hills elongated fault zones, undulating valleys between hills in fault zones, and alluvial plains. Landform units of elongated hills of fault zones can be detailed based on the relief pattern and slope gradient into ridge, steep slope, and gentle slope. Low hills elongated fault zones can be divided into ridge and gentle slope. Meanwhile, the undulating valleys between the hills of the fault zone and the alluvial plains do not show any further variations. The andesite breccia rock unit is the lithology that forms the morphology of elongated ridged hills, the undulating valleys between the hills are formed from andesite breccia colluvium rock units, while the alluvial plains are formed from alluvium rock units. The division of detailed morphology in the hills reflects the differences in the characteristics of the degree of weathering of the rocks and the weathering materials. The andesite breccia rock unit on the ridge experiences strong weathering and produces a lot of in-situ soil material. The andesite breccia bedrock exposed on steep slopes experiences early weathering with thin soil deposits on top and has several andesite boulders deposited in the bends of the slopes. Gentle slopes have surface rock units dominated by colluvium material. This unit consists of andesite breccia boulders scattered on the surface mixed with weathered soil material from ridge and/or steep slopes. The undulating valleys between hills also have characteristics of surface rock units consisting of andesite breccia boulders on the land surface with thick soil resulting from the accumulation of weathered soil from the hills. Alluvial rock units on alluvial plains do not reflect significant variations.
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Zhang, Jian, Yi Wang, Xi Luo, and Wen-Lei Luan. "Multi-Viewpoint Assessment of Urban Waterfront Skylines: Fractal and Spatial Hierarchy Analysis in Shanghai." Buildings 15, no. 9 (2025): 1407. https://doi.org/10.3390/buildings15091407.
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With the global trend of waterfront urban expansion, nonlinear urban growth has generated skyline patterns marked by multidimensional spatial heterogeneity. Traditional single-viewpoint methods often fall short in capturing the layered spatial relationships among buildings and the complexity of multi-axis urban forms. This study focuses on the Lujiazui waterfront in Shanghai and proposes a multi-viewpoint assessment framework to evaluate urban waterfront skylines based on fractal and spatial hierarchy analysis. The framework consists of: (1) selecting eight representative viewpoints along the Huangpu River using visual cognition theory and GIS tools; (2) calculating skyline contour complexity using fractal dimension models; (3) establishing spatial hierarchy coefficients to measure depth gradients of building clusters; and (4) validating the results through visual field analysis and local skyline planning guidelines. This method integrates multi-viewpoint observation with quantitative morphological analysis, enabling a comprehensive evaluation from 2D skyline contours to 3D spatial structures. The key findings reveal that the fractal dimensions of the Lujiazui skyline demonstrate clear spatial differentiation, with viewpoints such as Financial Plaza and Chenyi Plaza reaching benchmarks typical of international metropolises. Spatial hierarchy coefficients exhibit a gradient attenuation trend, meeting the planning expectations in central zones but revealing stratification discontinuities in peripheral areas. Comparative analysis shows that over 50% of the observation points present imbalanced height ratios and excessive interface continuity, indicating potential risks associated with uncoordinated morphological control. This research confirms that multi-viewpoint assessment effectively captures spatial heterogeneity in nonlinear urban skyline development. A dual-variable evaluation model—fractal dimension and spatial hierarchy—is proposed, forming a quantitative mapping mechanism between visual characteristics and planning regulations. The findings contribute to the development of standardized 3D morphological evaluation methods for complex urban waterfront environments.
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Ivanoff, Thomas A., and Jonathan D. Madison. "Using 3D Characterization and Serial Sectioning to Improve Materials Analysis." AM&P Technical Articles 178, no. 1 (2020): 16–21. http://dx.doi.org/10.31399/asm.amp.2020-01.p016.
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Ercanlı, Çağla. "A framework for the examination of urban coastal areas against the risk of sea level rise and evaluation of design strategies: The cases of Izmir and Thessaloniki." E3S Web of Conferences 585 (2024): 02001. http://dx.doi.org/10.1051/e3sconf/202458502001.
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The aim of the study is to provide a framework for determining design and adaptation strategies for urban coastal area uses against sea level rise risk due to climate change. The main argument of the study is that strategies to be put forward at the scale of urban design and architecture are important in preventing the negative effects of sea level rise and common and developing strategies can be created for cities with similar urban morphologies, spatial and functional characteristics. Within this scope, Izmir and Thessaloniki cities are chosen as a case that have morphologically and spatially/functionally similar characteristics. In the research part, analysis parameters for the characteristics of urban coastal areas are grouped as; geographical/morphological and spatial/functional. According to these two parameters, possible impacts, also design and adaptation strategies in literature are classified in urban and architectural scales. In the case study, coastal area sections of cities were prepared to understand the morphological and spatial/functional characteristics. Then, sections were divided into sub- segments to understand urban space structures. Strategies includes suggestions for reorganizing urban space functions, designing urban landscapes, urban equipment and furniture, also creating infrastructure decisions and strengthening the existing building stock in the short term for flood risk.
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Huang, Yuhao, Yingying Huang, Yile Chen, Yu Yan, Liang Zheng, and Ziyi Ying. "Interpretation of the Jiangnan Landscape and Countryside (Shan-Shui) Pattern: Evidence from the Classification and Spatial Form of Traditional Settlements in the Nanxi River Basin." Buildings 15, no. 3 (2025): 413. https://doi.org/10.3390/buildings15030413.
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Against the backdrop of accelerated globalization and urbanization, traditional settlements in the Jiangnan waterside areas of China face challenges such as morphological distortion and a simplified spatial structure. The ecological adaptability and cultural value of settlements urgently need scientific protection. There has not been enough research on how to better classify settlements, how to conduct systematic morphological analysis, or how to use dynamic protection methods. This makes it hard to fully show the variety of settlement types and how they differ in different areas. To this end, this study uses a combination of GIS spatial analysis, type classification, and case study methods to classify and morphologically analyze 159 traditional settlement patches in the Nanxi River Basin. We construct a settlement type map from quantitative research on topographical, water system, and spatial morphological characteristics, and extract a spatial organization model of mountains and water. The results show the following: (1) The main morphological types, such as the plain–waterfront–strip-shaped and cluster-shaped/finger-shaped types, are typical patterns of traditional settlements in the basin. This indicates how well settlements can adapt to their natural surroundings. (2) This study summarizes six typical settlement sample spaces. (3) The settlement digital protection strategy suggested in this paper uses GIS and 3D modeling technology to make it easier to record, show, and manage information about settlement spaces. This offers a new way to protect traditional settlements scientifically. The study not only enriches the theoretical understanding of the settlement morphology of Jiangnan landscape pastoral areas but also provides an important reference for the protection and sustainable development of settlements in similar basins around the world.
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SU, JUNYING, YINGKUI LI, and QINGWU HU. "A NEW SPECTRAL–SPATIAL JOINTED HYPERSPECTRAL IMAGE CLASSIFICATION APPROACH BASED ON FRACTAL DIMENSION ANALYSIS." Fractals 27, no. 05 (2019): 1950079. http://dx.doi.org/10.1142/s0218348x19500798.
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To maximize the advantages of both spectral and spatial information, we introduce a new spectral–spatial jointed hyperspectral image classification approach based on fractal dimension (FD) analysis of spectral response curve (SRC) in spectral domain and extended morphological processing in spatial domain. This approach first calculates the FD image based on the whole SRC of the hyperspectral image and decomposes the SRC into segments to derive the FD images with each SRC segment. These FD images based on the segmented SRC are composited into a multidimensional FD image set in spectral domain. Then, the extended morphological profiles (EMPs) are derived from the image set through morphological open and close operations in spatial domain. Finally, all these EMPs and FD features are combined into one feature vector for a probabilistic support vector machine (SVM) classification. This approach was demonstrated using three hyperspectral images in urban areas of the university campus and downtown area of Pavia, Italy, and the Washington DC Mall area in the USA, respectively. We assessed the potential and performance of this approach by comparing with PCA-based method in hyperspectral image classification. Our results indicate that the classification accuracy of our proposed method is much higher than the accuracies of the classification methods based on the spectral or spatial domain alone, and similar to or slightly higher than the classification accuracy of PCA-based spectral–spatial jointed classification method. The proposed FD approach also provides a new self-similarity measure of land class in spectral domain, a unique property to represent hyperspectral self-similarity of SRC in hyperspectral imagery.
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Li, Hongxiang, Ting Zhao, and Nan Ge. "Analysis of the Spatial Distribution Pattern of the Urban Landscape in the Central Plains under the Influence of Multiscale and Multilevel Morphological Geomorphology." Complexity 2021 (May 22, 2021): 1–10. http://dx.doi.org/10.1155/2021/6587764.
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This paper presents an in-depth analysis and research on the spatial distribution pattern of the urban landscape in the Central Plains digital landscape form and proposes an optimization scheme. Based on the basic theories of systematics and complexity, this paper analyzes the self-similar characteristics of urban morphology, establishes the concept of schema, and constructs a multiscale and multilevel morphological map research framework by drawing on the “planar pattern” morphological analysis method of the school and the “matrix, patch, and corridor” spatial expression model of landscape ecology. The framework of morphological map research at multiple scales has been established, and the theory and method of describing, understanding, judging, and analyzing morphological evolution have been formed. Cities have self-similarity at different scales, and urban evolution is a process of recursion from small-scale hierarchy to large-scale hierarchy, and hierarchy is a phenomenon presented by the natural evolution of cities. After any morphological process is completed, it can only be transformed into the other two ways, so the static morphological description can be transformed into dynamic morphological process analysis.
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Soille, Pierre, and Laurent Misson. "Tree ring area measurements using morphological image analysis." Canadian Journal of Forest Research 31, no. 6 (2001): 1074–83. http://dx.doi.org/10.1139/x01-025.
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This paper describes a semiautomatic methodology for measuring the areas of annual tree rings. The cross section of a tree stem is first prepared by sanding and dipping into polyethylene glycol to prevent it from cracking. A digital grey-scale image of the resulting stem disk is then acquired by a scanner at the spatial resolution of 600 dots per inch. This image is processed by a series of morphological image processing transformations so as to automatically outline the tree rings. User interaction is restricted to the correction of extraneous or missing boundaries generated by disturbing features such as knots and low-contrast or very narrow rings. The methodology has been developed for Picea abies (L.) Karst., and its applicability to other species is discussed.
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Bozdağ, Fatih Ünal. "Morphological Structuring of Search Domains in Turkish Embedded Locative Constructions." Dilbilim Araştırmaları Dergisi 36, no. 1 (2025): 1–23. https://doi.org/10.18492/dad.1599002.
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This investigation examines the structural mechanisms governing spatial encoding in Turkish nested locative constructions within Langacker’s Cognitive Grammar theoretical framework. The morphological system manifests implicit cognitive operations through the complex interplay of case morphemes, relativization structures, and possessive markers. This analysis comprehensively demonstrates how Turkish grammar instantiates multiple search domains, specificity predication, and reference point chaining while preserving conceptual accessibility. Complex nested constructions exhibit systematic processing frameworks that facilitate both hierarchical and sequential interpretation of spatial relationships. Contrastive analysis with English prepositional patterns comprehensively reveals divergent grammatical mechanisms achieving equivalent communicative functions. The findings significantly deepen the theoretical understanding of the interface between grammatical structuring and spatial conceptualization, demonstrating how morphological transparency renders visible cognitive operations that remain implicit in other linguistic systems. This research contributes insights to the literature by providing a detailed explication of how grammatical systems organize spatial complexity through various structural mechanisms while maintaining cognitive accessibility.
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Gümüş, İmran, and Ebru Erdönmez. "IMPACT OF SPATIAL CONFIGURATION TO SPATIAL QUALITY: VENICE AND ISTANBUL." JOURNAL OF ARCHITECTURE AND URBANISM 45, no. 2 (2021): 205–16. http://dx.doi.org/10.3846/jau.2021.14306.
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The purpose of this study is to identify the relationship between spatial configuration and spatial quality, and how they affect each other. Spatial quality is a sophisticated concept and encompasses physical, social, economic, cultural and environmental components. Urban squares reflect these parameters and also play a decisive role in urban identity as areas of apparent urban culture and collective memory. Spatial configuration also determines the character of the squares as a result of morphological feature of cities. In the study, qualitative and quantitative methods are used together. Initially, the case study was conducted on two pier squares, San Marco Square (Venice) and Beşiktaş Square (Istanbul) according to fifty public space quality parameters. Secondly, morphological analysis was performed through space syntax method. It has been investigated whether there is a connection between spatial configuration and the factors determining the quality of space or not. As a result, it has been revealed that the spatial configuration is one of the determining factors being assessed the quality of the space, however, it does not provide sufficient data alone. The importance of this article is that it proposes an analytical approach that includes both quantitative and qualitative components of spatial quality.
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Qin, Qi. "Analysis Of the Evolution of Urban Form in Modern Hefei City and Its Dynamics Mechanism." Highlights in Science, Engineering and Technology 51 (May 16, 2023): 175–82. http://dx.doi.org/10.54097/hset.v51i.8262.
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As the capital of Anhui Province and the sub-center of the Yangtze River Delta urban agglomeration, Hefei has been increasing its regional status in recent years, and the city's spatial planning has gradually matured and becomes unique. This paper takes Hefei city as an example to explore the process of urban morphological evolution and its dynamic mechanism, describe the unique fan-type morphology of the city, and discuss the key factors and laws of its spatial and morphological development. Results show that Hefei was mainly a "doughnut-shaped" city before the founding of the People's Republic of China. After its founding, Hefei gradually formed a "fan-shaped" urban, extending to the present. The "fan-shaped" urban form can be subdivided into three modes: one-center with three-fan, one-center with multiple-cluster, and double-center with multi-cluster. In terms of the dynamics of urban form, modern urban planning theory lays the foundation of spatial form development, industrial development is the main driving force of spatial form development, and the economic system is the way to regulate spatial form development. The current spatial form pattern of Hefei is the result of the interaction of these factors.
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Suvannadabha, Pachara, Chawee Busayarat, and Thepchai Supnithi. "The Analytical Tools for Tourism Development through Social Media Data and Spatial Morphological Analysis." Nakhara : Journal of Environmental Design and Planning 21, no. 3 (2022): 223. http://dx.doi.org/10.54028/nj202221223.
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In the tourism sector, social media data help elucidate the travel behavior and activities of travelers through images and reviews. However, geospatial studies with spatial analysis tools such as GIS are still required by researchers who hope to gain beneficial insight into tourism development from such social media data. In addition to spatial studies, Space syntax analysis is used to explain the spatial characteristics and accessibility of both pedestrians and vehicles; however, the method doesn't consider how people use the space. Therefore, using social media with space syntax analysis will help enhance the understanding of both tourism and spatial aspects. This research aims to develop analytical tools to support tourism studies with the GIS (graphic information system) process using social media data analysis and spatial morphological results from space syntax analysis. The study found that the accessibility potential of a destination does not enhance the popularity of tourist attractions as much as relevant images or attractions due to many popular tourist attractions being located in areas with low potential accessibility. While the image processing and text processing results can extract hidden traits and identities in each attraction, another result is that the analytical tool developed in the study can help quantify tourism activities and perform preliminary content analysis of the data from text and Image processing through the GIS software. It is also used to overlay tourism activities and spatial morphology results in order to recognize the tourism development potential of the area in terms of destination image tourism activities and accessibilities. The tool produces useful results and assists in decision-making for the development of tourist attractions.
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Raizenne, Brendan, Hanbing Song, Nancy Greenland, et al. "Relationship of spatial transcriptomic analyses with distance-associated transcriptomic spectrum and morphology-specific signatures of localized prostate cancer." Journal of Clinical Oncology 43, no. 5_suppl (2025): 422. https://doi.org/10.1200/jco.2025.43.5_suppl.422.
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422 Background: Current clinical management and classification of prostate cancer is dependent upon specimen morphology assessment. Limited studies have focused on identifying and mapping transcriptomic signatures within morphological variants. Additionally, the impact of transcriptomic distance-relationship between benign and tumor glands has yet to be identified. In this analysis, we profiled and derived signature gene sets for morphological variants and assessed the spatial impact of distance from the adjacent tumor areas on surrounding benign tissues. Methods: Four (three African American and one European ancestry) formalin fixed paraffin embedded prostate cancer samples were obtained via radical prostatectomy and underwent the GeoMx DSP workflow with gene expression level counts. The four patients each had different dominant morphologic features on the slide used, with one patient with extensive foamy gland morphology, one with extensive atrophic morphology, one with extensive mucinous morphology, and one with extensive Gleason pattern 5 carcinoma. Other regions of interest (ROIs) were benign (including benign glands, benign stromal) or mixed tumor/benign. Transcriptomic analysis was performed on these ROIs to derive the morphology-specific gene signatures. Additionally, distance-based spectrum of proximity of benign ROIs to tumor ROIs was constructed to identify genes that are significantly associated with distance to the nearest tumor ROI. Results: 96 ROIs from four patients (denoted by the dominant morphological tumor features) were annotated. In total, 95 ROIs and 8,102 genes passed quality control for analyses. A distance-based spectrum analysis revealed that benign ROIs that are closer to tumor ROIs were highly enriched in transcriptomic androgen signature and MYC signature and endothelial or club-like features were enriched in benign ROIs further from tumor ROIs. Moreover, distinct gene set signatures were established for each morphological feature. Conclusions: Benign ROIs closer to the tumor are more tumor-like and enriched in androgen receptor pathways and MYC signatures. We identified transcriptomic differences among the morphological tumor features that demonstrate inter-patient and intra-patient tumor heterogeneity.
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Pruszak, Zbigniew, Jan Schönhofer, and Grzegorz Różyński. "SPATIOTEMPORAL ANALYSIS OF VARIATIONS OF CERTAIN MORPHOLOGICAL BEACH FORMS." Coastal Engineering Proceedings 1, no. 33 (2012): 82. http://dx.doi.org/10.9753/icce.v33.sediment.82.
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The study is focused on spatiotemporal shoreline variability at a beach with a wide surf zone featuring 3-5 bars based on field observations done between 1983-2008 in the south Baltic Sea. The implementation of various analyses from simple geometry, through spectral analysis up to Discrete Wavelet Transform (DWT) allowed for a synergistic description of simultaneous shoreline and dune foot variability in space and time. The results include meso-scale and long-term phenomena with time scales from several months to many years and spatial scales ranking between a few hundred meters up to several kilometers.
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MOVSESIAN, A. A. "METHODS OF KINSHIP ANALYSIS IN FOSSIL POPULATIONS." Moscow University Anthropology Bulletin (Vestnik Moskovskogo Universiteta Seria XXIII Antropologia), no. 1/2024 (April 12, 2024): 124–33. http://dx.doi.org/10.55959/msu2074-8132-24-1-11.
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Introduction. Identifying kinship relationships from skeletal remains is among the various objectives of bioarchaeological studies. This article focuses on reviewing the methods used to analyze biological kinship in human fossil populations through non-metric traits. Methods. Since direct molecular-genetic analysis of kinship is often highly challenging due to the poor preservation of ancient DNA, special attention in such studies is given to nonmetric phenotypic traits. Results. Research with osteological samples that have been documented provides compelling evidence that the level of morphological similarity between individuals is directly related to their degree of biological kinship. In cases where the pedigrees of osteological materials are fully or partially known, phenotypic data can be effectively used in lieu of genetic information. Discussion. The methodology developed for kinship analysis depends on the internal spatial structure of the cemetery being studied. When analyzing small burial sites, the aim is to determine if the people buried there are close relatives. Various methods are used in these analyses, including different techniques for determining the likelihood of kinship, cluster analysis, and correlation coefficients. Identifying kinship is most promising in burial sites where archaeological or historical indicators of biological relationships are present. Kinship analysis in spatially structured cemeteries is aimed at identifying families or social groups. The analysis of uniformly distributed cemeteries focuses on identifying closely related individuals in large burials without clearly defined subgroups. This involves spatial correlation analysis, which tests for significant correlation between the matrix of spatial distances and the matrix of phenotypic distances; various counting methods to test for non-random clustering of traits; the nearest neighbor method; and a non-spatial block search procedure that simultaneously identifies presumed relatives and the traits that indicate the degree of their kinship. Conclusion. Many problems in establishing kinship can be overcome with the availability of skeletal material accompanied by verified genealogical data. Unfortunately, skeletal remains with preserved documentation are quite rare, limiting the opportunities to study the inheritance of non-metric traits and the morphological similarity of biologically related individuals.
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Yang, Xi, Ke Song, and Fuan Pu. "Laws and Trends of the Evolution of Traditional Villages in Plane Pattern." Sustainability 12, no. 7 (2020): 3005. http://dx.doi.org/10.3390/su12073005.
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This study collected and analyzed dynamic spatial data of eight traditional villages scattered in different regions of China. A multi-temporal analysis of morphological metrics of spatial patterns and a regression analysis of the morphological evolution were used to analyze and contrast the historical spatial processes of different villages. These were then compared using patch texture and rural macro-morphology perspectives. This led to an assessment of the general laws and trends associated with rural spatial processes. (1) There has been a significant shift in the stability of rural spatial development since the founding of the People’s Republic of China (PRC). (2) Most small and medium-sized villages have maintained a relatively stable spatial texture, while large villages have changed significantly. (3) The mean and variance of the patch area, and the Euclidean nearest-neighbor distance, are correlated in some cases. (4) The mode of rural expansion may be relevant to limitations in the total area of growth. (5) The fractal dimension of the rural macro-morphology may follow a morphological order of oscillation around the equilibrium level. (6) The common mean value of the projected area of rural building patches is expected to be 100 m2.
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Jiao, Lu, Yifei Wu, Kailun Fang, and Xiaotian Liu. "Typo-Morphological Approaches for Maintaining the Sustainability of Local Traditional Culture: A Case Study of the Damazhan and Xiaomazhan Historical Area in Guangzhou." Buildings 13, no. 9 (2023): 2351. http://dx.doi.org/10.3390/buildings13092351.
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This paper studies the spatial forms and cultural sustainability of the Damazhan and Xiaomazhan historical area, the only area that reflects the development of the assembled-clan hall culture in Guangzhou. In the face of modernization and reconstruction, traditional culture plays an increasingly crucial role in modern cities, determining the expression of architectural uniqueness and continuous development that adapts to social needs. Therefore, preserving cultural characteristics is more relevant than ever. This study combines historical literature research with typo-morphological analysis to establish analytical strategies that link cultural sustainability with spatial evolution from the perspective of sustainable development. The analytical framework consists of three parts: First of all, through historical literature research, a thorough analysis is conducted on the cultural and social influencing factors from the Dynasties of Song, Yuan, Ming, Qing and the Republic of China to the reform and opening up period. Secondly, feature elements of the location are extracted, and a typo-morphological approach is used to analyze the sustained changes in spatial forms. Finally, the relationship between changes in block form and building types and the inheritance and development of traditional culture are demonstrated. The analytical results indicate that the continuity of cultural characteristics is embodied in the continuity of the block and architectural spatial characteristics, while cultural transformation and man-made social factors affect the changes in spatial forms. This paper combines the perspective of cultural sustainability analysis with the traditional typo-morphological approaches of urban spatial analysis, supplementing the existing typo-morphological methodology. In addition, guiding the development of urban morphology from the perspective of cultural sustainability is of prominent practical significance.
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Czarnecka, Kaja. "Surface temperature extremes in urban areas: distribution, morphological drivers and air temperature patterns." Geographia Polonica 98, no. 2 (2025): 149. https://doi.org/10.7163/gpol.0297.
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The expansion of cities, alongside increasing climate-related risks, requires a better understanding of urban thermal patterns for sustainable planning. This study identifies thermal hot and cold spots in Warsaw using 25 land surface temperature (LST) images (2002-2018), air temperature data from 21 sites, spatial development indicators, CORINE Land Cover, and local climate zones. Spatial autocorrelation (Getis-Ord Gi*) and correlation analyses reveal that LST extremes are related to land cover, spatial development, and city centre proximity. Cluster analysis highlights distinct seasonal and diurnal air temperature regimes in hot/cold spots,emphasizing the need for integrated approaches in urban climate research.
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Tsoeleng, Lesiba Thomas, John Odindi, and Paidamwoyo Mhangara. "A Comparison of Two Morphological Techniques in the Classification of Urban Land Cover." Remote Sensing 12, no. 7 (2020): 1089. http://dx.doi.org/10.3390/rs12071089.
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Understanding the often-heterogeneous land cover in urban areas is critical for, among other things, environmental monitoring, spatial planning, and enforcement. Recently, several earth observation satellites were developed with an enhanced spatial resolution that provides for precise and detailed representations of image objects. Morphological image analysis techniques provide useful tools for extracting spatial features from high-resolution, remotely sensed images. This study investigated the efficacy of mathematical morphological (MM) techniques in the land cover classification of a heterogeneous urban landscape using very high-resolution pan-sharpened Pleiades imagery. Specifically, the study evaluated two morphological profiles (MP) techniques (i.e., concatenation of morphological profiles (CMPs) and multi-morphological profiles (MMPs)) in the classification of a heterogeneous urban land cover. The overall accuracies for CMP were 83.14% and 83.19% over the two study areas. Similarly, the MMP overall accuracies were 84.42% and 84.08% for the two study sites. The study concluded that CMP and MMP can greatly improve the classification of heterogeneous landscapes that typify urban areas by effectively representing the structural landscape information necessary for discriminating related land cover classes. In general, similar and visually acceptable results were produced for land cover classification using either CMP or MMP image analysis techniques
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Dewi Arini. "Analysis of Medan Sunggal Sub District Urban Spatial." International Journal of Architecture and Urbanism 4, no. 3 (2020): 246–51. http://dx.doi.org/10.32734/ijau.v4i3.5036.
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This study is intended to determine the state of the spatial urban city in an area. This analysis aims to determine the morphological face of the city to determine the movement and development of the city in the future. The study area is located in Medan Sunggal Sub District. Medan Sunggal sub-district is one of the sub-districts in the city of Medan which borders Deli Serdang. According to the RTRW for Medan City, this area has a land-use as a residential area, but there is also economic growth in the form of commercial areas along the roads in all villages in Medan Sunggal sub-district. The discussion on urban spatial analysis in Medan Sunggal sub-district uses figure-ground analysis and Von Thunen's zone theory.
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Florence, Laporterie, Flouzat Guy, and Amram Olivier. "THE MORPHOLOGICAL PYRAMID AND ITS APPLICATIONS TO REMOTE SENSING: MULTIRESOLUTION DATA ANALYSIS AND FEATURES EXTRACTION." Image Analysis & Stereology 21, no. 1 (2011): 49. http://dx.doi.org/10.5566/ias.v21.p49-53.
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In remote sensing, sensors are more and more numerous, and their spatial resolution is higher and higher. Thus, the availability of a quick and accurate characterisation of the increasing amount of data is now a quite important issue. This paper deals with an approach combining a pyramidal algorithm and mathematical morphology to study the physiographic characteristics of terrestrial ecosystems. Our pyramidal strategy involves first morphological filters, then extraction at each level of resolution of well-known landscapes features. The approach is applied to a digitised aerial photograph representing an heterogeneous landscape of orchards and forests along the Garonne river (France). This example, simulating very high spatial resolution imagery, highlights the influence of the parameters of the pyramid according to the spatial properties of the studied patterns. It is shown that, the morphological pyramid approach is a promising attempt for multi-level features extraction by modelling geometrical relevant parameters.
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Dowlatshah, M., H. Ghassemian, and M. Imani. "SPATIAL-SPECTRAL MORPHOLOGICAL FEATURE EXTRACTION FOR HYPERSPECTRAL IMAGES CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 315–20. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-315-2019.
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Abstract. Remote sensing image classification is a method for labeling pixels to show the Land cover types. The ambiguity in the classification process can be reduced if the spatial dependencies, which exist among the adjacent pixels, are intelligently incorporated into the feature extraction process. One of the methods for spatial feature extraction is applying morphological filters. The basic idea of the morphological filters is comparison of structures within the image with a reference form called structural element. Four types of important morphological filters are included (dilation, erosion, opening, and closing) in this work. Opening morphological filter is used to extract spatial features where this filter is implemented by applying two successive sequences dilation and erosion operators. This filter removes the light areas smaller than the structural element in binary images; and in the gray level images, the areas smaller than the structural element and brighter than the neighboring regions are removed. Differential morphology filters are other important morphological filters, which are also used in this work. In the proposed method, the principal component analysis is used to reduce the data dimensions and an SVM classifier is applied to classify the hyperspectral data. The proposed method provides better classification results than the conventional morphological profile about 2%-5% for the University of Pavia and Pavia Center datasets. The results represent the good performance of the proposed method by using a small number of training samples.
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Ali, Lana Abubakr, and Faris Ali Mustafa. "Mosque Morphological Analysis: The Impact of Indoor Spatial–Volumetric Visibility on Worshipers’ Visual Comfort." Sustainability 15, no. 13 (2023): 10376. http://dx.doi.org/10.3390/su151310376.
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One of the essential needs of humans that is influenced by architectural geometry is visibility in indoor areas. Prayer hall geometry dominates the mosque typology and morphology. The spatial–volumetric shapes of interior prayer halls affect worshipers’ visual comfort and spirituality. In this study, a new integrative framework is developed to quantitatively describe various mosque typo-morphologies affecting the visual comfort of worshipers, including spaciousness and consciousness, to obtain prayer hall typo-morphological patterns that may provide higher levels of visual comfort. Spatial and volumetric metrics from various prayer hall vantage points are used in this study. A two-dimensional isovist (VGA) map in depthmapX.10 collects spatial metrics, while the grasshopper script in Rhinoceros-7 collects 3D isovist volumetric metrics. The findings confirm the feasibility of creating a prominent area in barrier-free mosque layout designs centered on a central domed roof form.
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Zheng, Fei, Yuqing Wang, Zhicheng Shen, and Yuetao Wang. "Research on the Correlations between Spatial Morphological Indices and Carbon Emission during the Operational Stage of Built Environments for Old Communities in Cold Regions." Buildings 13, no. 9 (2023): 2222. http://dx.doi.org/10.3390/buildings13092222.
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The escalation of the urban population and energy demands has exacerbated the carbon emission intensity at the operational stage of urban old communities. The spatial elements of the built environments comprising building groups, roads and landscape, and the spatial morphology of these elements, are endowed not only with human activities but also impact local microclimates and overall carbon emissions. Nonetheless, little attention has been paid to the correlation mechanism between the spatial morphology of the urban built environments and carbon emissions. In this paper, the aim is to combine carbon emissions simulation and statistical analysis to find the correlation between the spatial morphological indices and carbon emissions and to bridge the gaps. Thus, guided by the principles of urban energy modeling, this research adopts a parametric process of “information model construction–carbon emission simulation–statistical analysis”. First, taking 60 typical samples of an old community in Jinan, China, as objects, morphological indices such as density, texture and layout are analyzed through regression analysis to highlight their impacts on carbon emissions. Then, a carbon emission prediction model based on spatial morphological indices is established and verified. The results show that the floor area ratio (FAR), building coverage ratio (BCR), enclosure degree (ED), shape factor (SF) and average road aspect ratio (AS) have significant impacts on carbon emissions during the operational stage. Among these indices, the FAR and the ED are identified as the pivotal influencers. The findings confirm the important role of spatial morphological design of old communities in cold regions in improving urban carbon reduction potential, and they provide theoretical underpinnings and empirical data as references for urban morphology design formulated within the context of low-carbon objectives.
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Chelebian, Eduard, Christophe Avenel, Kimmo Kartasalo, et al. "Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer." Cancers 13, no. 19 (2021): 4837. http://dx.doi.org/10.3390/cancers13194837.
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Prostate cancer is a common cancer type in men, yet some of its traits are still under-explored. One reason for this is high molecular and morphological heterogeneity. The purpose of this study was to develop a method to gain new insights into the connection between morphological changes and underlying molecular patterns. We used artificial intelligence (AI) to analyze the morphology of seven hematoxylin and eosin (H&E)-stained prostatectomy slides from a patient with multi-focal prostate cancer. We also paired the slides with spatially resolved expression for thousands of genes obtained by a novel spatial transcriptomics (ST) technique. As both spaces are highly dimensional, we focused on dimensionality reduction before seeking associations between them. Consequently, we extracted morphological features from H&E images using an ensemble of pre-trained convolutional neural networks and proposed a workflow for dimensionality reduction. To summarize the ST data into genetic profiles, we used a previously proposed factor analysis. We found that the regions were automatically defined, outlined by unsupervised clustering, associated with independent manual annotations, in some cases, finding further relevant subdivisions. The morphological patterns were also correlated with molecular profiles and could predict the spatial variation of individual genes. This novel approach enables flexible unsupervised studies relating morphological and genetic heterogeneity using AI to be carried out.
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Shepeleva, Irina P. "The pupil of the camera-like eyes of terrestrial gastropod mollusks (Heterobranchia, Stylom-matophora)." Ruthenica, Russian Malacological Journal 33, no. 3 (2023): 95–104. http://dx.doi.org/10.35885/ruthenica.2023.33(3).1.
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In terrestrial pulmonate gastropods Cochlodina laminata, Monachoides incarnata, Helicigona lapicida, Arianta arbustorum, Cepaea hortensis, Trochulus hispidus and Succinea putris, the morphological properties of the pupil of camera-like eyes were studied for the first time: location, spatial orientation, change in spatial orientation, structure, shape, shape change, relative size, change in relative size. Several methods were used in the work: making of preparations of isolated eyes, making of histological preparations of eyes, light microscopy, morphometric analysis, statistical analysis, calculations. All the studied morphological properties of the pupil of the camera-like eyes of C. laminata, M. incarnata, H. lapicida, A. arbustorum, C. hortensis and T. hispidus are similar to the analogous morphological properties of the pupil of the camera-like eyes of other species of terrestrial pulmonates. One of the studied morphological properties of the pupil of the camera-like eye of S. putris – the relative size – differs from the analogous morphological property of the pupil of the camera-like eyes of other species of terrestrial pulmonates.
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Zheng, Zi’ang. "Analysis of green infrastructure network (GIN) based on morphological spatial-temporal pattern analysis (MSTPA): A case study of Shijingshan district in Beijing." Journal of Physics: Conference Series 2798, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1742-6596/2798/1/012012.
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Abstract Rapid urbanization results in habitat fragmentation. GIN analysis provides an objective basis for the complete construction of ecological networks. Although there is currently no uniform standard for GIN analysis, this study found that the core region and the connectivity between the core became two key elements of GIN analysis. By analyzing the morphological recognition of GIN, Morphological Spatial Pattern Analysis (MSPA) is targeted in the core area and connectivity analysis, so it has become the mainstream of GIN analysis methods. At the same time, this study finds that there are commonalities in MSPA analysis methods of different scholars. However, it should be noted that GIN analysis by MSPA method in China has two main research gaps: First, it lacks attention to the space scale of urban administrative district level; Second, there is a lack of research on GIN that considers time as a factor. In order to fill these two research gaps, the Shijingshan District of Beijing was selected as the research site to conduct GIN analysis based on Morphological Spatial-Temporal Pattern Analysis (MSTPA). At the same time, the analysis method and data of this study can provide a reference for future scholars to carry out the same type of research.
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Mohammed, Shaimaa Sarwar. "GIS-based Spatial Analysis of the Evolution of Residential Developments; A Case-study of Sulaimani city, Iraq." Kurdistan Journal of Applied Research 8, no. 2 (2023): 8–28. http://dx.doi.org/10.24017/science.2023.2.2.
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This research is aimed at visualizing the historical evolution of residential landuse development of Sulaimani city based on GIS spatial analysis with the input of all of the relevant available data in various formats in order to determine the form of the city according to morphological classifications discussed in the literature of urban planning.
 Essentially, following the collection of data, processing, review of relevant literature and applied methods, this study draws a timeline for the spatial evolution of the city of Sulaimani in addition to constricting a spatial grid for morphological comparison of different growth stages and analysis on multiple aspects. Moreover, a number of criteria were established to evaluate spatial patterns based on published theories in the field of landuse urban planning. These indicators were formulated in a questionnaire survey and determined the main aspects of the city through visualizing the process of historical evolution up to modern date.
 Finally, the study presents transformations and addresses current issues, as well as recommends a number of possible solutions for residential landuse development in the city of Sulaimani.
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Kovács, K., and K. Hanke. "Recovering prehistoric woodworking skills using spatial analysis techniques." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-5/W3 (August 11, 2015): 153–58. http://dx.doi.org/10.5194/isprsannals-ii-5-w3-153-2015.
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Recovering of ancient woodworking skills can be achieved by the simultaneous documentation and analysis of the tangible evidences such as the geometry parameters of prehistoric hand tools or the fine morphological characteristics of well preserved wooden archaeological finds. During this study, altogether 10 different hand tool forms and over 60 hand tool impressions were investigated for the better understanding of the Bronze Age woodworking efficiency. Two archaeological experiments were also designed in this methodology and unknown prehistoric adzes could be reconstructed by the results of these studies and by the spatial analysis of the Bronze Age tool marks. Finally, the trimming efficiency of these objects were also implied and these woodworking skills could be quantified in the case of a Bronze Age wooden construction from Austria. The proposed GIS-based tool mark segmentation and comparison can offer an objective, user-independent technique for the related intangible heritage interpretations in the future.
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Tapia, César, Elena Torres, Nelly Paredes, and Mauricio Parra-Quijano. "Morphological and ecogeographical diversity analysis of maize germplasm in the high altitude Andes region of Ecuador." Plant Genetic Resources: Characterization and Utilization 19, no. 3 (2021): 183–94. http://dx.doi.org/10.1017/s1479262121000125.
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AbstractThe Andean region of Ecuador is the place of origin of many maize landraces grouped into 24 races. Definition of priorities for maize diversity conservation in this region can be supported by the spatial identification of areas with a high eco-geographical and phenotypic diversity. Six hundred thirty-six maize samples were morphologically characterized using 14 descriptors and assigned to a distinctive race. Additionally, sampled farms were characterized by 12 environmental variables. From these data, maps of morphological and eco-geographical diversity were obtained by using techniques to determine eco-geographical and phenotypic distances and applying them to each geographical neighbourhood. The races Patillo Ecuatoriano, Racimo de Uva and Uchima exhibited high intra-racial morphological variation, particularly in the shape of the ear, kernel row layout, cob diameter and total kernel number. The highest number of different races was observed in Imbabura, Azuay and Chimborazo provinces. The highest levels of morphological diversity were found in three cells (10 × 10 km), located in Pichincha, Chimborazo and Loja provinces. Two ecological niches, located in Loja province, showed high levels of eco-geographical diversity. A comparison between diversity maps revealed shared hotspots of morphological and eco-geographical diversity in the central and southwest areas of Imbabura province. The Andean highlands of Ecuador are an optimal refuge for the conservation of maize diversity, and the criteria of eco-geographical and morphological diversity and race richness should be considered when defining priority in situ conservation areas.
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Anees, Mangalasseril Mohanmmad, Ellen Banzhaf, Jingxia Wang, and Pawan Kumar Joshi. "Quality Index Approach for Analysis of Urban Green Infrastructure in Himalayan Cities." Land 12, no. 2 (2023): 279. http://dx.doi.org/10.3390/land12020279.
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In fast urbanizing cities, fragmentation of urban green infrastructure (UGI) commonly arises due to lack of efficient planning to maintain the quantity and improve their quality. As ecological processes and landscape patterns are closely intertwined, it is a prerequisite to investigate landscape structure when aiming at better provision of ecosystem services. This study integrates remote sensing, geographic information system, combination of landscape metrics, and multi-variated statistics to delineate structural attributes influencing UGI Quality (UGIQ). We exemplify our methodology in three capital cities of Indian Himalayan states at administrative ward level. The UGIQ is derived by comparing landscape characters defined by nine metrics denoting area, shape, and aggregation attributes. By employing principal component analysis (PCA) and multi-collinearity diagnosis, a set of quality defining metrics are obtained for each city. Further, to gain insightful spatial basis for improving connectivity, Morphological Spatial Pattern Analysis (MSPA) is used to visualize and classify patches into seven morphological classes. Landscape characterization highlights a pattern of low-quality wards having a limited number and area of UGI patches in urban centers, and high-quality wards with complex and aggregated patches towards fringes. PCA identifies the positive influence of area (LPI, AREA_MN) and shape (LSI, FRAC_AM, CONTIG) metrics and negative influence of patch distance (ENN_MN) and fragmentation (PD) on UGIQ in different combinations across the cities. Higher shares of morphological core and edge classes are recognized for overall UGIQ improvement. The results provide quantitative measures to develop integrated spatial planning strategies.
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Gupta, Anushka, Stephen Williams, Lauren Gutgasell, et al. "Spatially resolved whole-transcriptome analysis with simultaneous highly multiplexed immune cell epitope detection in multiple cancer tissues." Journal of Immunology 210, no. 1_Supplement (2023): 251.04. http://dx.doi.org/10.4049/jimmunol.210.supp.251.04.
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Abstract The tumor microenvironment is composed of highly heterogeneous niches, often with varying degrees of immune infiltration. The spatial distribution of immune cells with respect to malignant cells can directly impact patient prognosis and overall survival outcomes. The Visium CytAssist Spatial Gene Expression assay uses a whole transcriptome probe-based approach, termed RTL, to detect and quantify mRNA expression with spatial context. Although examination of the tumor microenvironment with an RTL-based spatial assay can provide significant transcriptomic information concerning regions of interest, immune cells frequently have extremely low mRNA expression levels and can be difficult to detect. The use of antibody-conjugated probes specific to immune cell epitopes, which are highly expressed, can enhance data recovered from these tumor samples, enabling spatially accurate detection of immune populations. The Visium CytAssist Spatial Proteogenomic Solution enables identification of immune-specific epitopes via antibody-conjugated probes from the same tissue slide used for transcriptomic analysis. Using the CytAssist workflow, we showcase the ability to comprehensively resolve immune cells associated with multiple immune and tumor tissues, including an array of human breast cancer punches. Spatial expression patterns of immune markers map back to distinct morphological features within the samples, allowing identification of differentially-expressed genes associated with those areas. Overall, these data highlight the value of Visium CytAssist Spatial Proteogenomic Solution in immuno-oncology studies, through the integration of spatially resolved transcriptomic and immune cell marker data.
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Jiang, Yunfang, Jing Huang, Tiemao Shi, and Hongxiang Wang. "Interaction of Urban Rivers and Green Space Morphology to Mitigate the Urban Heat Island Effect: Case-Based Comparative Analysis." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11404. http://dx.doi.org/10.3390/ijerph182111404.
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The spatial morphology of waterfront green spaces helps generate cooling effects to mitigate the urban heat island effect (UHI) in metropolis cities. To explore the contribution and influence of multi-dimensional spatial indices on the mitigation of UHIs, the green space of the riparian buffer along 18 river channels in Shanghai was considered as a case study. The spatial distribution data of the land surface temperature (LST) in the study area were obtained by using remote sensing images. By selecting the related spatial structure morphological factors of the waterfront green space as the quantitative description index, the growth regression tree model (BRT) was adapted to analyze the contribution of various indexes of the waterfront green space on the distribution of the LST and the marginal effect of blue–green synergistic cooling. In addition, mathematical statistical analysis and spatial analysis methods were used to study the influence of the morphological group (MG) types of riparian green spaces with different morphological characteristics on the LST. The results showed that in terms of the spatial structure variables between blue and green spaces, the contribution of river widths larger than 30 m was more notable in decreasing the LST. In the case of a larger river width, the marginal effect of synergistic cooling could be observed in farther regions. The green space that had the highest connectivity degree and was located in the leeward direction of the river exhibited the lowest LST. In terms of the spatial morphology, the fractional cover values of the vegetation (Fv) and area (A) of the green space were the main factors affecting the cooling effect of the green space. For all MG types, a large green patch that had a high green coverage and connectivity degree, as well as was distributed in the leeward direction of the river, corresponded to the lowest LST. The research presented herein can provide methods and development suggestions for optimizing spatial thermal comfort in climate adaptive cities.
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Sutarman, Sutarman, Martin L. Manda, and Hamzah A. Machmoed. "On Morphological Analysis of Spatial Deixis in Mǝriaq-mǝriqu Dialect of Sasak Language." ELS Journal on Interdisciplinary Studies in Humanities 3, no. 3 (2020): 415–24. http://dx.doi.org/10.34050/elsjish.v3i3.11323.
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This paper concentrates on the spatial deixis and its morphological structures in Mǝriaq-mǝriqu dialect of Sasak language. It includes in a typological study with qualitative method. This research employs two forms of data; primary data and secondary data. The primary data include the information obtained from the informants from every dialect. Secondary data are the data obtained from any documents of Sasak language such as folklore. There are two methods of data collection; field linguistic method and library method. Of the two methods, there are two techniques used in collecting data: Observation and interview. The results of this study accommodated all types of demonstratives by Diessel (1999) and Dixon (1988) and discover some new types contributing to the theory. The types of spatial deixis in this dialect are pronominal, adnominal, quantifier, intensifier, identificational, adverbial, verbal, and referential. In term of morphological structure, the demonstrative in this dialect is constructed of some affixes and the combination of two or more spatial deixis. Nominal demonstrative usually becomes stem of other demonstratives. Quantifier is constructed of prefix ‘se-‘plus manner demonstrative adverb(MDA). Intensifier is constructed of prefix ‘s-‘ plus pronominal, LDA is constructed of prefix ‘n-‘ plus pronominal for proximal, MDA is constructed of prefix ‘mer-‘ and ‘m-‘ plus pronominals, verbal demonstrative is constructed of confix ‘pe-q’ plus MDA, Referential demonstrative is constructed of MDA plus suffix ‘-q’.
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Zhai, Yuqi. "Resident-Centered Narrative Mapping for Micro-Morphological Analysis: Case of a Marginalized Lilong Compound in Downtown Shanghai." Land 14, no. 3 (2025): 609. https://doi.org/10.3390/land14030609.
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While informal settlements have been extensively studied in the Global South, their counterparts in the Global North remain under-researched, despite their critical role in shaping urban morphology. This paper introduces “Resident-Centered Narrative Mapping”, a framework designed to uncover micro-morphological knowledge through the lived spatial experiences of marginalized residents. By examining the epistemological question “whose morphology?”, this study critiques conventional urban morphological methods, which often disregard spatial practices embedded in the everyday lives of marginalized communities. Focusing on a marginalized lilong settlement in downtown Shanghai, this research work integrates critical cartography with ethnographic fieldwork to develop a micro-morphological mapping process centered on resident narratives. This process, structured around the phases of finding, inscription, and simplification, demonstrates how residents’ daily practices actively shape and reconfigure their built environment. This study offers an alternative perspective to understand the dynamic processes of urban renewal in informal settlements and emphasizes the dialectical relationship between resident-driven spatial practices and the transformation of the urban form. By broadening urban morphology’s methodological framework, this research provides insights into how resident-driven mapping can inform localized regeneration strategies. The findings highlight the potential for marginalized communities to shape urban regeneration policies, advocating for inclusive, resident-centered development.
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Urquhart, S. G., H. W. Ade, G. E. Mitchell, et al. "Analysis of the Spatial Variation of Crosslink Density in Superabsorbent Polymers." Microscopy and Microanalysis 4, S2 (1998): 816–17. http://dx.doi.org/10.1017/s143192760002420x.
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Superabsorbent polymers are often designed with increased density of crosslinking in the outer layer of the particles in order to improve liquid retention under load. For efficient product design, it is desirable to directly measure the spatial variation in crosslink density. Typically employed techniques (such as solvent uptake or measuring the changes in various mechanical properties such as the modulus) do not provide spatially resolved crosslink density information. We have applied Scanning Transmission X-ray Microscopy to examine the swelling of inhomogenously crosslinked superabsorbent polymers in deionized water and salt water solution.Scanning Transmission X-ray Microscopy (STXM) is an effective way to study the chemical and morphological character of polymers on a sub micron spatial scale.1 STXM image contrast is based on core electron excitation by x-ray absorption; an interaction that has remarkable chemical sensitivity. Beam damage is less than in TEM microscopes and samples can be examined in wet and in ambient conditions.
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Yiğit, Abdurahman Yasin, and Halil İbrahim Şenol. "Surface Change and Stability Analysis in Open-Pit Mines Using UAV Photogrammetric Data and Geospatial Analysis." Drones 9, no. 7 (2025): 472. https://doi.org/10.3390/drones9070472.
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Significant morphological transformations resulting from open-pit mining activities always present major problems with site safety and slope stability. This study investigates an active marble quarry in Dinar, Türkiye by combining geospatial analysis and photogrammetry based on unmanned aerial vehicles (UAV). Acquired in 2024 and 2025, high-resolution images were combined with dense point clouds produced by Structure from Motion (SfM) methods. Iterative Closest Point (ICP) registration (RMSE = 2.09 cm) and Multiscale Model-to-Model Cloud Comparison (M3C2) analysis was used to quantify the surface changes. The study found a volumetric increase of 7744.04 m3 in the dump zones accompanied by an excavation loss of 8359.72 m3, so producing a net difference of almost 615.68 m3. Surface risk factors were evaluated holistically using a variety of morphometric criteria. These measures covered surface variation in several respects: their degree of homogeneity, presence of any unevenness or texture, verticality, planarity, and linearity. Surface variation > 0.20, roughness > 0.15, and verticality > 0.25 help one to identify zones of increased instability. Point cloud modeling derived from UAVs and GIS-based spatial analysis were integrated to show that morphological anomalies are spatially correlated with possible failure zones.