Bibliografías temáticas / Spatial Data Focusing

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Literatura académica sobre el tema "Spatial Data Focusing"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Spatial Data Focusing"

Lee, Gi-bbeum, and Ji-Hyun Lee. "A Data-Driven Study on Spatial Network of Learning Facilities in Urban Areas : Focusing on Centrality and Educational Disparity." Korea Institute of Design Research Society 10, no. 1 (2025): 9–18. https://doi.org/10.46248/kidrs.2025.1.9.

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The spatial connectivity of learning facilities (LFs) affects educational accessibility and learner behavior, serving as a key factor in designing urban educational environments. This study proposes a method for analyzing the distribution of local LFs using spatial big data and network analysis. The network of 788 LFs, including elementary, middle, and high schools, academies, tutoring centers, and libraries, across 5 boroughs in Daejeon was analyzed. Centrality measures were applied to assess the proximity of LFs and identify hubs within the network. Results showed the centrality distribution

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Guaragnella, Cataldo, and Tiziana D’Orazio. "A Data-Driven Approach to SAR Data-Focusing." Sensors 19, no. 7 (2019): 1649. http://dx.doi.org/10.3390/s19071649.

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Synthetic Aperture RADAR (SAR) is a radar imaging technique in which the relative motion of the sensor is used to synthesize a very long antenna and obtain high spatial resolution. Several algorithms for SAR data-focusing are well established and used by space agencies. Such algorithms are model-based, i.e., the radiometric and geometric information about the specific sensor must be well known, together with the ancillary data information acquired on board the platform. In the development of low-cost and lightweight SAR sensors, to be used in several application fields, the precise mission par

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TAKAHASHI, KAZUKO, and TAKAO SUMITOMO. "THE QUALITATIVE TREATMENT OF SPATIAL DATA." International Journal on Artificial Intelligence Tools 16, no. 04 (2007): 661–82. http://dx.doi.org/10.1142/s0218213007003497.

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This paper aims at an efficient treatment of spatial data using qualitative representation. We propose a new framework called PLCA, which provides a symbolic representation for the figure in a two-dimensional plane, focusing on the connections between regions. It is based on four simple objects: points(P), lines(L), circuits(C) and areas(A). The entire figure is represented as a combination of these objects. Pairs of areas, circuits or lines never cross. The simple, clear data structure based on objects makes the system feasible and easy to implement. A PLCA expression can be subject to topolo

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Koh, Keumseok, Ayaz Hyder, Yogita Karale, and Maged N. Kamel Boulos. "Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health." Remote Sensing 14, no. 13 (2022): 2996. http://dx.doi.org/10.3390/rs14132996.

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Background: Often combined with other traditional and non-traditional types of data, geospatial sensing data have a crucial role in public health studies. We conducted a systematic narrative review to broaden our understanding of the usage of big geospatial sensing, ancillary data, and related spatial data infrastructures in public health studies. Methods: English-written, original research articles published during the last ten years were examined using three leading bibliographic databases (i.e., PubMed, Scopus, and Web of Science) in April 2022. Study quality was assessed by following well-

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Csomós, György. "On the challenges ahead of spatial scientometrics focusing on the city level." Aslib Journal of Information Management 72, no. 1 (2019): 67–87. http://dx.doi.org/10.1108/ajim-06-2019-0152.

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Purpose Spatial bibliometrics and scientometrics have traditionally focused on examining both country and regional levels; however, in recent years, numerous spatial analyses on the city level have been carried out. While city-level scientometric analyses have gained popularity among policymakers and statistical/economic research organizations, researchers in the field of bibliometrics are divided regarding whether it is possible to observe the spatial unit “city” through bibliometric and scientometric tools. The purpose of this paper is to reveal the most significant challenges ahead of spati

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Li, Yutang, Chen Xu, Dengfeng Liu, et al. "Lidar Doppler Tomography Focusing Error Analysis and Focusing Method for Targets with Unknown Rotational Speed." Remote Sensing 17, no. 3 (2025): 506. https://doi.org/10.3390/rs17030506.

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Lidar Doppler tomography (LDT) is a significant method for imaging rotating targets in long-distance air and space applications. Typically, these targets are non-cooperative and exhibit unknown rotational speeds. Inferring the rotational speed from observational data is essential for effective imaging. However, existing research predominantly emphasizes the development of imaging algorithms and interference suppression, often neglecting the analysis of rotational speed estimation. This paper examines the impact of errors in rotational speed estimation on imaging quality and proposes a robust m

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Keßler, Carsten, Albert Remke, Henryk Hodam, Fabian Przybylak, and Andreas Rienow. "OER4SDI: Open Educational Resources for Spatial Data Infrastructures." AGILE: GIScience Series 5 (May 30, 2024): 1–10. http://dx.doi.org/10.5194/agile-giss-5-9-2024.

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Abstract. Education on spatial data infrastructures is an important building block of study programs focusing on spatial data. The focus is on equipping students with essential skills for future contributions to spatial data infrastructure development and application. Despite a wide range of available teaching materials, their reuse is hindered by a lack of harmonization and integration into learning modules. This paper reports on the activities in the "Open Educational Resources for Spatial Data Infrastructures" (OER4SDI) project, which addresses this gap by developing easily reusable teachin

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Furman, Alex, Ty P. Ferré, and Gail L. Heath. "Spatial focusing of electrical resistivity surveys considering geologic and hydrologic layering." GEOPHYSICS 72, no. 2 (2007): F65—F73. http://dx.doi.org/10.1190/1.2433737.

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Electrical resistivity tomography (ERT) has shown great promise for monitoring transient hydrologic processes. One advantage of ERT under those conditions is the ability of a user to tailor the spatial sensitivity of an ERT survey through selection of electrode locations and electrode combinations. Recent research has shown that quadripoles can be selected in a manner that improves the independent inversion of ERT data. Our ultimate interest lies in using ERT data along with measurements from other sensors, which typically can provide high-quality data from shallow regions of the subsurface, i

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Feuillet, Thierry, Julien Coquin, Denis Mercier, et al. "Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland." Progress in Physical Geography: Earth and Environment 38, no. 3 (2014): 354–77. http://dx.doi.org/10.1177/0309133314528944.

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Most studies focusing on landslide spatial analysis have considered the relationships between predictors and landslide occurrence as fixed effects. Yet spatially varying relationships, i.e. non-stationarity, often occur in any spatial data set and should be theoretically considered in statistical models for a better fit. In Skagafjörður, a landslide-rich north–south oriented area located in northern Iceland, we investigated whether spatial non-stationarity in the relationships between paraglacial variables (glacio-isostatic rebound and post-glacial debuttressing, both captured in this area by

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Serge, Decroly FEMBA. "Exploratory Analysis of Regional Disparities in Human Development in Cameroon." JOURNAL OF ECONOMICS, FINANCE AND MANAGEMENT STUDIES 5, no. 10 (2022): 3002–10. https://doi.org/10.5281/zenodo.7238318.

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The objective of this paper is to analyze the link between geographic location and the level of human development in Cameroon. To achieve that objective, we use Exploratory Spatial Data Analysis (ESDA) techniques on regional human development indices (HDI) in Cameroon from 2001 to 2014. The Moran test confirms the presence of a positive and significant global spatial autocorrelation of the regional human development indices. Thus, the values of the regional human development index in Cameroon are not randomly distributed. There is thus spatial clustering of regions with similar HDI levels. The

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Tesis sobre el tema "Spatial Data Focusing"

Odhiambo, Michael Derrick. "Spatial data focusing using direct sequence spread spectrum modulation." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS060.

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Ce travail propose la mise en œuvre de la focalisation spatiale de données (FSD) en utilisant des techniques de spectre étalé. La FSD a récemment été proposée comme alternative aux schémas classiques de focalisation de puissance dans des scenarios de geocasting (diffusion géolocalisée des données). Dans la FSD, ce sont de données à transmettre qui sont traitées de telle qu'elles ne peuvent être décodées qu'à un endroit prédéfini. Ce travail exploite la double orthogonalité due aux IQ et aux séquences orthogonales d'étalement Gold pour concevoir le schéma de focalisation spatiale de données bas

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Molineaux, Guylian. "Spatial Data Focusing for High-Precision Wireless Geocasting : Theoretical System Design and Practical Proof of Concept." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS491.

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Cette thèse étudie la focalisation spatiale de données (FSD) comme moyen d'effectuer la diffusion géolocalisée de données sans fil sur la couche physique, c'est-à-dire la multidiffusion basée sur la position ou la diffusion géographiquement limitée. Cette nouvelle approche peut aider à fournir des services et des messages basés sur la position à de grands groupes d'appareils mobiles qui existent dans les cadres émergents de l'internet des objets pour les villes intelligentes, les industries, les soins de santé, etc. Il permet de résoudre et d'éviter les problèmes de confidentialité qui existen

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Libros sobre el tema "Spatial Data Focusing"

Majumdar, Satya N. Random growth models. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.38.

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This article discusses the connection between a particular class of growth processes and random matrices. It first provides an overview of growth model, focusing on the TASEP (totally asymmetric simple exclusion process) with parallel updating, before explaining how random matrices appear. It then describes multi-matrix models and line ensembles, noting that for curved initial data the spatial statistics for large time t is identical to the family of largest eigenvalues in a Gaussian Unitary Ensemble (GUE multi-matrix model. It also considers the link between the line ensemble and Brownian mot

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Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t

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Capítulos de libros sobre el tema "Spatial Data Focusing"

van Nes, Akkelies, and Claudia Yamu. "Empirical Data Collection and Analysis, and Connecting Data with Space Syntax." In Introduction to Space Syntax in Urban Studies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59140-3_5.

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AbstractInprevious chapters, we demonstrated various analytic techniques focusing on the spatial aspects of the built environment. In this chapter, we discuss various methods and techniques for collecting qualitative andquantitative data dealing with human behaviour and how to connect such data to the results from various space syntax analyses. This chapter provides a brief introduction to these methods to stimulate ideas for connecting an array of spatial and socio-economicdata to space syntax. At the end of this chapter, we provide an exercise, references, and further readings.

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Tang, Ye, Junqiang Sun, Guangjin Wang, Wenjin Hong, and Li Li. "Analysis of Campus Crowd Behavior Based on Location Data and Physical Environment Data: A Case Study of Southeast University Wuxi Campus." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_36.

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Abstract The study on the behavior of on-campus individuals provides valuable insights for campus management, resource allocation, and planning layout. The application of multi-source data offers more objective and in-depth opportunities for exploring behavioral phenomena. Focusing on the Wuxi campus of Southeast University, this research utilized Wi-Fi probe positioning technology combined with a physical environment sensor system to comprehensively collect 28.87 million positioning data points and 340,000 environmental data points over a period of 14 days. After cleaning redundant, missing,

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García-Álvarez, David, Javier Lara Hinojosa, Francisco José Jurado Pérez, and Jaime Quintero Villaraso. "Global General Land Use Cover Datasets with a Time Series of Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_15.

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AbstractGeneral Land Use Cover (LUC) datasets provide a holistic picture of all the land uses and covers on Earth, without focusing specifically on any individual land use category. As opposed to the LUC maps which are only available for one date or year, reviewed in Chap. “Global General Land Use Cover Datasets with a Single Date”, the maps with time series allow users to study LUC change over time. Time series of general LUC datasets at a global scale is useful for understanding global patterns of LUC change and their relation with global processes such as climate change or the loss of biodi

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Smith, Janet L., Zafer Sonmez, and Nicholas Zettel. "Growing Income Inequality and Socioeconomic Segregation in the Chicago Region." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_18.

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AbstractIncome inequality in the United States has been growing since the 1980s and is particularly noticeable in large urban areas like the Chicago metro region. While not as high as New York or Los Angeles, the Gini Coefficient for the Chicago metro area (.48) was the same as the United States in 2015 but rising at a faster rate, suggesting it will surpass the US national level in 2020. This chapter examines the Chicago region’s growing income inequality since 1980 using US Census data collected in 1990, 2000, 2010, and 2015, focusing on where people live based on occupation as well as incom

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García-Álvarez, David, Javier Lara Hinojosa, and Francisco José Jurado Pérez. "Global Thematic Land Use Cover Datasets Characterizing Artificial Covers." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_21.

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AbstractThe mapping of artificial covers at a global scale has received increasing attention in recent years. Numerous thematic global Land Use Cover (LUC) datasets focusing on artificial surfaces have been produced at increasingly high spatial resolutions and using methods that ensure improved levels of accuracy. In fact, there are several long time series of maps showing the evolution of artificial surfaces from the 1980s to the present. Most of them allow for change detection over time, which is possible, thanks to the high level of accuracy at which artificial surfaces can be mapped and be

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Mannell, Kate, Kristinn Hegna, and Mariya Stoilova. "The Home as a Site of Platformization." In The Platformization of the Family. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-74881-3_3.

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AbstractChapter 3 investigates how processes of platformization play out in relation to the spaces and spatial arrangements of family life, focusing in particular on the idea of the home. Given that family life, including the meaning of the home, are constructed through relational practices and that these practices are increasingly platformized (that is, occurring through and in relation to platforms), this chapter asks: how is the platformization of the family reshaping and extending the home? Drawing on qualitative empirical data from our own projects and existing literature, we examine how

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Mas, Jean-François, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera, and Miguel Ángel Castillo-Santiago. "Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_8.

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AbstractThe overlaying of two map layers is a standard GIS procedure. As we saw in the previous chapter, it enables us to compute the intersection between two feature classes and cross-tabulate either the area or the pixel count of the intersecting features depending on whether raster or vector data are being used. Cross-tabulation can be used to evaluate different topics depending on the nature of the input data. In this chapter, cross-tabulation is used to assess land cover changes, the spatial agreement between maps and map accuracy. In Sect. 1, Land use/cover changes (LUCC) are quantified

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García-Álvarez, David, Javier Lara Hinojosa, and Jaime Quintero Villaraso. "Global General Land Use Cover Datasets with a Single Date." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_14.

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AbstractGlobal general Land Use and Land Cover (LUC) datasets map all land uses and covers across the globe, without focusing on any specific use or cover. This chapter only reviews those datasets available for one single date, which have not been updated over time. Seven different datasets are described in detail. Two other ones were identified, but are not included in this review, because of its coarsens, which limits their utility: Mathews Global Vegetation/Land Use and GMRCA LULC. The first experiences in global LUC mapping date back to the 1990s, when leading research groups in the field

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Jia, Menghao, Fanyi Zhang, Xinyi Lyu, Yuncheng Wen, and Hua Xu. "Three-Dimensional Hydrodynamic Analysis and Early Warning of Ω-Collapse in the Lower Reaches of the Yangtze River Based on Experimental Study on Generalized Model." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_140.

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AbstractUnder the background of the construction of cascade reservoir group in the main stream of the Yangtze River, the lower reaches of the Yangtze River are faced with new water and sediment situation, which leads to the increased risk of bank collapse in the lower reaches of the Yangtze River. Therefore, the purpose of this study is to have a certain supporting significance for the prevention and control of riverbank collapse disasters. The study takes the Jiangsu section of the lower reaches of the Yangtze River as the research object. Firstly, according to the measured data over the year

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Schorlemmer, Marco, Mohamad Ballout, and Kai-Uwe Kühnberger. "Generating Qualitative Descriptions of Diagrams with a Transformer-Based Language Model." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71291-3_5.

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AbstractTo address the task of diagram understanding we propose to distinguish between the perception of the geometric configuration of a diagram from the assignment of meaning to the geometric entities and their topological relationships. As a consequence, diagram parsing does not need to assume any particular a priori interpretations of diagrams and their constituents. Focussing on Euler diagrams, we tackle the first of these subtasks—that of identifying the geometric entities that constitute a diagram (i.e., circles, rectangles, lines, arrows, etc.) and their topological relations—as an ima

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Actas de conferencias sobre el tema "Spatial Data Focusing"

Park, Hyejin, Hyeongmo Gu, Soonmin Hong, and Seungyeon Choo. "Comparison of GAN-based Spatial Layout Generation Research Focusing on AIBIM-Spacemaker and GAN-based Prior Research." In eCAADe 2024: Data-Driven Intelligence. eCAADe, 2024. http://dx.doi.org/10.52842/conf.ecaade.2024.1.539.

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Miyamoto, Takashi, Kosuke Kinoshita, Takahiro Kumura, Fumitaka Ogushi, Pang-Jo Chun, and Riki Honda. "Developing Satellite Observation Digital Twin for Remote Bridge Monitoring." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0913.

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<p>Displacement measurement of infrastructure using interferometric SAR (InSAR) enables the evaluation of displacement differences on a millimeter scale, presenting promising applications for bridge condition monitoring. However, lower spatial resolution and uncertainties in addressing deformations within the normal range caused by thermal expansion and traffic loads have hindered the estimation of detailed bridge conditions such as strain, stress states, and the health of structural members. To address these challenges, we have developed a digital twin environment that integrates satell

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Trofymchuk, Oleksandr, Vyacheslav Vishnyakov, Natalia Sheviakina, Viktoriia Klymenko, and Snizhana Zahorodnia. "GEOINFORMATION TERRAIN ANALYSIS FOR OPTIMIZING MILITARY EQUIPMENT ROUTES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s12.281.

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To enable effective operational decisions and combat mission execution on the battlefield during war, access to reliable, accurate, and timely data is essential. We propose utilizing Geographic Information Systems (GIS) to analyze extensive datasets, as modern military operations rely on accurate spatial terrain mapping for command, control, communication, and coordination. This study introduces a terrain analysis approach tailored to military vehicle movement, focusing on assessing ground resilience to vehicle traffic and predicting terrain trafficability for optimal route planning. For this

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Kowalski, Mikolaj, and Lukasz Ortyl. "INTEGRATING GEODETIC UNDERGROUND UTILITY DATASETS WITH BIM: IFC 4.3 FOR IMPROVED STRUCTURAL DESIGN IN POLAND." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.16.

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Numerous studies have examined the potential integration of Building Information Modeling (BIM) with Geographic Information Systems (GIS), typically focusing on simplifying complex BIM data for presentation within a GIS environment. However, there is a unique circumstance with extensive geodetic databases that remain untapped in construction processes in Poland. The emergence of the more applicable IFC format version 4.3, particularly relevant to surveying, presents an opportunity. The article proposes leveraging geodetic datasets, specifically underground utilities, to enhance BIM-based struc

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Sarrazin, Julien, Michael Odhiambo, Sidney Golstein, Philippe De Doncker, and Francois Horlin. "Spatial Data Focusing: An Alternative to Beamforming for Geocasting Scenarios." In 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2018. http://dx.doi.org/10.1109/usnc-ursi.2018.8602761.

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Molineaux, Guylian, Sidney Golstein, Michael Odhiambo, Francois Horlin, Philippe De Doncker, and Julien Sarrazin. "Spatial Data Focusing Using Time and IQ Resources for Wireless Geocasting." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013948.

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Molineaux, Guylian, Michael Odhiambo, Francois Horlin, Philippe De Doncker, and Julien Sarrazin. "OFDM-based Spatial Data Focusing for High Resolution 2-Dimensional Wireless Geocasting." In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2020. http://dx.doi.org/10.1109/pimrc48278.2020.9217222.

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Molineaux, Guylian, François Horlin, Muriel Darces, Philippe De Doncker, and Julien Sarrazin. "Frequency Diverse Array Spatial Data Focusing: Free Space and Multipath Experimental Validation." In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10436781.

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Bocquet, Michael, Atika Rivenq, Christophe Loyez, and Nathalie Rolland. "A focusing technique based on a data spatial diversity at millimetre-wave frequency." In 2014 44th European Microwave Conference (EuMC). IEEE, 2014. http://dx.doi.org/10.1109/eumc.2014.6986584.

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Molineaux, Guylian, Francois Horlin, Philippe De Doncker, and Julien Sarrazin. "Frequency Diverse Array Spatial Data Focusing for High Precision Range-angle-based Geocasting." In GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001165.

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Informes sobre el tema "Spatial Data Focusing"

Bearman, Nick. Introduction to Spatial Data and R as a GIS. Instats Inc., 2024. http://dx.doi.org/10.61700/u8xkcre05j43v1726.

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This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects.

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Rocchini, Duccio. Remote Sensing in Ecology with imageRy for R. Instats Inc., 2024. http://dx.doi.org/10.61700/19q6b3arhuoa91741.

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This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points.

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Palonen, Emilia, Kanerva Kuokkanen, Laura Horsmanheimo, Miriam Haselbacher, and Ursula Reeger. Spatial Aspects of De-Radicalisation Processes. Glasgow Caledonian University, 2025. https://doi.org/10.59019/rg9eh711.

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This report synthesises the city reports of the “Spatial aspects of de-radicalisation” work package from the D.Rad project. Within this work package, we studied mechanisms of inclusion and exclusion in public spaces to relate these dynamics to de-radicalisation processes and issues of social cohesion. We conceptualise public spaces as spaces that are characterised by unequal power relations, and as a realm in which people from different backgrounds have daily encounters. These spaces are not merely physical locations but arenas where societal norms, values, and power structures are negotiated.

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Aguilar, G., H. Waqa-Sakiti, and L. Winder. Using Predicted Locations and an Ensemble Approach to Address Sparse Data Sets for Species Distribution Modelling: Long-horned Beetles (Cerambycidae) of the Fiji Islands. Unitec ePress, 2016. http://dx.doi.org/10.34074/book.008.

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In response to unique species in Fiji which are threatened or endangered, and in critical need of effective conservation measures to ensure their survival, author Glenn Aguilar has produced an eMedia publication and learning research tool, called GIS For Conservation.The eMedia website hosts tutorial material, videos and modelling results for conservation management and planning purposes. Users will learn spatial analytical skills, species distribution modelling and other relevant GIS tools, as well as enhance ArcMap skills and the species distribution modelling tool Maxent. Accompanying the G

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Walker, Samantha, Tomoko McGaughey, and Paul Peters. Spatial models of access to health and care services in rural and remote Canada: a scoping review protocol. Spatial Determinants of Health Lab, 2023. http://dx.doi.org/10.22215/rrep/2023.sdhl.606.

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Objective: The objective of this review is to determine the scope of spatial modelling approaches used to evaluate geographic access to health and care services in rural Canada. Introduction: Canada’s health and social policy agenda has made the requirement for equal access to primary and secondary health services for rural populations a key priority. Most rural health research in Canada has focused on measuring patterns of health outcomes or modelling geographic access to a narrow range of services, health conditions, or within specific regions. This scoping review will provide an in depth lo

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Yaseen, Lama, Nourah Al-Hosain, Ibrahem Shatnawi, and Abdelrahman Muhsen. Impact of Urban Traffic on Fuel Consumption Leveraging IoT Data: Case Study of Riyadh City. King Abdullah Petroleum Studies and Research Center, 2024. https://doi.org/10.30573/ks--2024-dp72.

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This study explores the rising trend of traffic congestion in Riyadh and its impact on fuel consumption for passenger cars amid the challenges of rapid urbanization and increasing vehicle use. By utilizing real-time floating car data (FCD) collected by vehicles equipped with Global Positioning System (GPS) technology and communication systems, this study illustrates the potential of the Internet of Things (IoT) and smart city technologies in developing intelligent transportation systems and improving urban mobility management. A spatial analysis of the traffic flow dynamics in Riyadh, focusing

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Boyle, Maxwell, and Elizabeth Rico. Terrestrial vegetation monitoring at Fort Pulaski National Monument: 2019 data summary. National Park Service, 2021. http://dx.doi.org/10.36967/nrds-2288716.

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The Southeast Coast Network (SECN) conducts long-term terrestrial vegetation monitoring as part of the nationwide Inventory and Monitoring Program of the National Park Service (NPS). The vegetation community vital sign is one of the primary-tier resources identified by SECN park managers, and monitoring is currently conducted at 15 network parks (DeVivo et al. 2008). Monitoring plants and their associated communities over time allows for targeted understanding of ecosystems within the SECN geography, which provides managers information about the degree of change within their parks’ natural veg

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Riederer, Bernhard. URBAN-RURAL DIFFERENCES IN EARLY BIRTHS IN AUSTRIA: A REGIONAL AND INDIVIDUAL LEVEL ANALYSIS. Verlag der Österreichischen Akademie der Wissenschaften, 2025. https://doi.org/10.1553/0x00407c46.

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Demographic research has repeatedly demonstrated differences in fertility on the subnational level, especially between urban and rural regions. The most recent literature focuses on historical developments of total fertility, cohort fertility, or indicators of late fertility (35+). The present paper complements these analyses by focusing on earlier births (i.e., births at ages below 25) and by analysing both regional and individual level data. In particular, I assume that metropolitan areas as centres of contemporary knowledge societies and service economies offer educational and economic oppo

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Mushongera, Darlington, Prudence Kwenda, and Miracle Ntuli. An analysis of well-being in Gauteng province using the capability approach. Gauteng City-Region Observatory, 2020. http://dx.doi.org/10.36634/2020.op.1.

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As countries across the globe pursue economic development, the improvement of individual and societal well-being has increasingly become an overarching goal. In the global South, in particular, high levels of poverty, inequality and deteriorating social fabrics remain significant challenges. Programmes and projects for addressing these challenges have had some, but limited, impact. This occasional paper analyses well-being in Gauteng province from a capability perspective, using a standard ‘capability approach’ consistent with Amartya Sen’s first conceptualisation, which was then operationalis

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Bateman McDonald, Jacob. Wadeable Stream Habitat Monitoring at Kennesaw Mountain National Battlefield Park: 2023 Change Report. National Park Service, 2025. https://doi.org/10.36967/2313926.

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The Southeast Coast Network (SECN) stream habitat monitoring protocol collects data to give park resource managers insight into the status of, and trends in, stream and near-channel habitat conditions. Streams chosen for assessment were specifically targeted for management interest or to provide a context for similar-sized stream(s) within the park. This report documents the 2023 resurvey of wadeable stream habitats in Kennesaw Mountain National Battlefield Park (KEMO), focusing on two third-order streams—Noses Creek (KEMO001) and John Ward Creek (KEMO002). It is the third monitoring event, fo

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