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Journal articles on the topic 'Cluster analysis][Geographical data'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Putrenko, V., and V. Tyhohod. "Cluster analyzes for spatial modelling in Geographic information systems." Visnyk of the Lviv University. Series Geography, no. 46 (December 26, 2013): 312–19. http://dx.doi.org/10.30970/vgg.2013.46.1497.

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The problems of mathematical analysis of geographic information with using the procedure of cluster analysis were considered. A software module for various types of cluster analysis of geographical objects and the automated construction of thematic maps was programmed in ArcGIS. Based on the data about accumulation of waste in the regions of Ukraine method of cluster analysis using the geographical coordinates of the centroids of objects to take into account their position in content classification was tested. The results of cluster analysis identified groups of regions of Ukraine with similar

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Cho, Jaehyeong, Seng Chan You, Seongwon Lee, et al. "Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model." International Journal of Environmental Research and Public Health 17, no. 21 (2020): 7824. http://dx.doi.org/10.3390/ijerph17217824.

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Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and

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Ji, Min, Fuding Xie, and Yu Ping. "A Dynamic Fuzzy Cluster Algorithm for Time Series." Abstract and Applied Analysis 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/183410.

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This paper presents an efficient algorithm, called dynamic fuzzy cluster (DFC), for dynamically clustering time series by introducing the definition of key point and improving FCM algorithm. The proposed algorithm works by determining those time series whose class labels are vague and further partitions them into different clusters over time. The main advantage of this approach compared with other existing algorithms is that the property of some time series belonging to different clusters over time can be partially revealed. Results from simulation-based experiments on geographical data demons

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Lis, Anna Maria. "The significance of proximityin cluster initiatives." Competitiveness Review: An International Business Journal 29, no. 3 (2019): 287–310. http://dx.doi.org/10.1108/cr-08-2018-0050.

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Purpose The purpose of this paper is to analyse relations between geographical and competence proximity and development of cooperation in cluster initiatives. Design/methodology/approach The research was based on an original theoretical concept referring to the trajectory of the development of cooperative relations in cluster initiatives. The research was carried out in mid-2017, in four purposefully selected cluster initiatives. The research sample was 132 cluster enterprises. The main research strategy involved non-experimental models; the basic method of data collection was an online questi

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Maeda, Takahiro, and Hiroyuki Fujiwara. "Seismic Hazard Visualization from Big Simulation Data: Cluster Analysis of Long-Period Ground-Motion Simulation Data." Journal of Disaster Research 12, no. 2 (2017): 233–40. http://dx.doi.org/10.20965/jdr.2017.p0233.

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This paper describes a method of extracting the relation between the ground-motion characteristics of each area and a seismic source model, based on ground-motion simulation data output in planar form for many earthquake scenarios, and the construction of a parallel distributed processing system where this method is implemented. The extraction is realized using two-stage clustering. In the first stage, the ground-motion indices and scenario parameters are used as input data to cluster the earthquake scenarios within each evaluation mesh. In the second stage, the meshes are clustered based on t

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Kalinina, Alla, Elena Petrova, Marina Lapina, and Alexandra Rvacheva. "The Analysis of Foreign Experience in Implementing Cluster Policy." Regionalnaya ekonomika. Yug Rossii, no. 2 (August 2019): 13–26. http://dx.doi.org/10.15688/re.volsu.2019.2.2.

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The article represents the results of the comparative analysis of implementing cluster policy in foreign and Russian practice. The proposed methodology is based on the main characteristics of clusters (the presence of competitive enterprises, the presence of competitive advantages for cluster development in the region, geographical concentration and proximity, a wide range of participants and the presence of “critical mass”, the presence of links and interaction between cluster members) that characterize them as complex economic structures. Creating clusters involves a number of studies at the

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Subekti, Didik Tulus, Ichwan Yuniarto, and Sulinawati Sulinawati. "Perbandingan Metode Hierarchical Cluster Analysis untuk Analisis Keragaman Hayati Trypanosoma evansi dari Indonesia Berdasarkan Profil Protein (COMPARISON OF HIERARCHICAL CLUSTER ANALYSIS METHODS FOR BIODIVERSITY ANALYSIS OF TRYPANOSOMA EVANSI." Jurnal Veteriner 18, no. 4 (2018): 516. http://dx.doi.org/10.19087/jveteriner.2017.18.4.516.

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Hierarchical Clustering Analysis (HCA) has long been known to be useful for the analysis of biodiversity of microorganisms based on SDSPAGE protein profile (sodium dodecyl sulfate polyacrylamide gel electrophoresis). However, varying methods of HCA consequently produce variability of analysis results and interpretations. Therefore, it is necessary to evaluate and further determine the most appropriate method which could described the biodiversity based on protein profiles of T.evansi isolates from Indonesia. Eleven isolates of T.evansi from different geographic locations were run on SDS PAGE.

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Pita, Antonio, Francisco J. Rodriguez, and Juan M. Navarro. "Cluster Analysis of Urban Acoustic Environments on Barcelona Sensor Network Data." International Journal of Environmental Research and Public Health 18, no. 16 (2021): 8271. http://dx.doi.org/10.3390/ijerph18168271.

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As cities grow in size and number of inhabitants, continuous monitoring of the environmental impact of sound sources becomes essential for the assessment of the urban acoustic environments. This requires the use of management systems that should be fed with large amounts of data captured by acoustic sensors, mostly remote nodes that belong to a wireless acoustic sensor network. These systems help city managers to conduct data-driven analysis and propose action plans in different areas of the city, for instance, to reduce citizens’ exposure to noise. In this paper, unsupervised learning techniq

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Makharashvili, I., and N. Lomaia. "Internationalization and clusters of cultures." Fundamental and applied researches in practice of leading scientific schools 31, no. 1 (2019): 129–34. http://dx.doi.org/10.33531/farplss.2019.1.26.

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The cluster term is a cluster analysis tool that develops from the mid-twentieth century and was used in areas where there was an enormous mass of primary data and this concept had no economic content. Cluster Analysis is a mathematical procedure based on a number of characteristics of the set of objects, which allow them to classify as classes (clusters) so that objects entered in one class are more homogeneous and similar to those in other classes. The distance between them is calculated on the basis of numerically expressed parameters. The method first appeared in 1939 in R. Trion used and

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Köppe, M., M. Hermann, C. A. M. Brenninkmeijer, et al. "Origin of aerosol particles in the mid-latitude and subtropical upper troposphere and lowermost stratosphere from cluster analysis of CARIBIC data." Atmospheric Chemistry and Physics 9, no. 21 (2009): 8413–30. http://dx.doi.org/10.5194/acp-9-8413-2009.

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Abstract. The origin of aerosol particles in the upper troposphere and lowermost stratosphere over the Eurasian continent was investigated by applying cluster analysis methods to in situ measured data. Number concentrations of submicrometer aerosol particles and trace gas mixing ratios derived by the CARIBIC (Civil Aircraft for Regular Investigation of the Atmosphere Based on an Instrument Container) measurement system on flights between Germany and South-East Asia were used for this analysis. Four cluster analysis methods were applied to a test data set and their capability of separating the

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Köppe, M., M. Hermann, C. A. M. Brenninkmeijer, et al. "Origin of aerosol particles in the mid latitude and subtropical upper troposphere and lowermost stratosphere from cluster analysis of CARIBIC data." Atmospheric Chemistry and Physics Discussions 9, no. 3 (2009): 13523–67. http://dx.doi.org/10.5194/acpd-9-13523-2009.

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Abstract. The origin of aerosol particles in the upper troposphere and lowermost stratosphere over the Eurasian continent was investigated by applying cluster analysis methods to in situ measured data. Number concentrations of submicrometer aerosol particles and trace gas mixing ratios derived by the CARIBIC (Civil Aircraft for Regular Investigation of the Atmosphere Based on an Instrument Container) measurement system on flights between Germany and South-East Asia were used for this analysis. Four cluster analysis methods were applied to a test data set and their capability of separating the

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Coleman, Warren K., Xin-Qing Li, Esther Tremblay-Deveau, and Shirlyn Coleman. "Chemical maturation and storage performance of eleven Russet Burbank clones." Canadian Journal of Plant Science 83, no. 4 (2003): 893–902. http://dx.doi.org/10.4141/p02-172.

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Although introduced as a cultivar from a somaclonal mutation of smooth Burbank in the 19th century, the subsequent identification and commercial selection of distinct Russet Burbank clones or strains has not been evident in the scientific literature. The present study examined chemical maturity of tubers (sucrose rating values and glucose content) and subsequent storage performance over a 3-yr period (1999–2001) of eleven Russet Burbank clones collected from across North America in order to determine if subtle quality traits could be associated consistently with specific clones. Although consi

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Astuti, Cindy Cahyaning, and Rahmania Sri Untari. "Applied Hierarchical Cluster Analysis with Average Linkage Algoritm." CAUCHY 5, no. 1 (2017): 1. http://dx.doi.org/10.18860/ca.v5i1.3862.

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This research was conducted in Sidoarjo District where source of data used from secondary data contained in the book <em>"Kabupaten Sidoarjo Dalam Angka 2016"</em> .In this research the authors chose 12 variables that can represent sub-district characteristics in Sidoarjo. The variable that represents the characteristics of the sub-district consists of four sectors namely geography, education, agriculture and industry. To determine the equitable geographical conditions, education, agriculture and industry each district, it would require an analysis to classify sub-districts based o

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Zhu, Jie, Jing Yang, Shaoning Di, Jiazhu Zheng, and Leying Zhang. "A novel dual-domain clustering algorithm for inhomogeneous spatial point event." Data Technologies and Applications 54, no. 5 (2020): 603–23. http://dx.doi.org/10.1108/dta-08-2019-0142.

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PurposeThe spatial and non-spatial attributes are the two important characteristics of a spatial point, which belong to the two different attribute domains in many Geographic Information Systems applications. The dual clustering algorithms take into account both spatial and non-spatial attributes, where a cluster has not only high proximity in spatial domain but also high similarity in non-spatial domain. In a geographical dataset, traditional dual spatial clustering algorithms discover homogeneous spatially adjacent clusters suffering from the between-cluster inhomogeneity where those spatial

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Zhong, Shaobo, Zhanhui Sun, Quanyi Huang, and Chunxiang Cao. "A framework for geographical surveillance of disease in China." International Journal of Disaster Resilience in the Built Environment 2, no. 3 (2011): 256–67. http://dx.doi.org/10.1108/17595901111167123.

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PurposeThe purpose of this paper is to address the urgent need for guiding the construction of information systems for disease surveillance and early warning, given the latest efforts of the report system of public health information over China.Design/methodology/approachA system framework for disease surveillance and early warning, based on disease clustering test and cluster detection techniques, geographical information system, network and communication is conceived. Through geographical surveillance analysis of severe acute respiratory syndrome occurring in Beijing in 2003, an application

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Thewissen, J. G. M. "Temporal data in phylogenetic systematics: an example from the mammalian fossil record." Journal of Paleontology 66, no. 1 (1992): 1–8. http://dx.doi.org/10.1017/s0022336000033424.

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A method of phylogenetic inference is proposed for taxa that are known from large samples spaced closely in time. The method employs elements of cladistic and stratophenetic methods, and consists of four steps. 1) Morphologically homogeneous clusters are recognized within temporally and geographically constrained samples. 2) Temporally disjunct and geographically dispersed taxa are recognized, and their anagenetic evolution and geographic variation documented. 3) A character matrix is constructed for the taxa and analyzed cladistically. 4) Resulting cladograms are used to construct a phylogene

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Martin, Roman, and Jerker Moodysson. "Comparing knowledge bases: on the geography and organization of knowledge sourcing in the regional innovation system of Scania, Sweden." European Urban and Regional Studies 20, no. 2 (2011): 170–87. http://dx.doi.org/10.1177/0969776411427326.

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This paper deals with knowledge flows and collaboration between firms in the regional innovation system of southern Sweden. The aim is to analyse how the functional and spatial organization of knowledge interdependencies among firms and other actors varies between different types of industries that draw on different types of knowledge bases. We use data from three case studies of firm clusters in the region: (1) the life science cluster represents an analytical (science-based) industry, (2) the food cluster includes mainly synthetic (engineering-based) industries, and (3) the moving media clus

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Novotná, Jana, and Ladislav Novotný. "Industrial clusters in a post-socialist country: The case of the wine industry in Slovakia." Moravian Geographical Reports 27, no. 2 (2019): 62–78. http://dx.doi.org/10.2478/mgr-2019-0006.

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Abstract Research on clusters, unlike cluster initiatives, has not been comprehensively addressed in European post-socialist countries. The aim of this paper is to explore and to analyse quantitatively the spatial organisation of economic activities in the wine industry in Slovakia, and to assess it in terms of the concept of an industrial cluster. The wine industry is considered as a production sector in which location is determined by geographical factors. The research is based on a case study of a wine region located north-east of Bratislava, Slovakia. The primary identification of the clus

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Vatansever, Metin, İbrahim Demir, and Ali Hepşen. "Cluster and forecasting analysis of the residential market in Turkey." International Journal of Housing Markets and Analysis 13, no. 4 (2020): 583–600. http://dx.doi.org/10.1108/ijhma-11-2019-0110.

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Purpose The main purpose of this study is to detect homogeneous housing market areas among 196 districts of 5 major cities of Turkey in terms of house sale price indices. The second purpose is to forecast these 196 house sale price indices. Design/methodology/approach In this paper, the authors use the monthly house sale price indices of 196 districts of 5 major cities of Turkey. The authors propose an autoregressive (AR) model-based fuzzy clustering approach to detect homogeneous housing market areas and to forecast house price indices. Findings The AR model-based fuzzy clustering approach de

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Bardea, Florina, Felix Arion, and Patryk Szabelski. "CLUSTERS, EUROPEAN POLICY IN EXCELLENCE OF MANAGEMENT." Proceedings of CBU in Economics and Business 1 (November 16, 2020): 8–14. http://dx.doi.org/10.12955/peb.v1.10.

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The European Union (EU) plays an important role in the developing of clusters, defined by the European Commission as groups of specialized enterprises – often SMEs – and other related supporting actors that cooperate closely together in a particular location. As a result, the EU launched the pan-European initiative to support cluster management (European Cluster Excellence Initiative). It recognizes the performance of cluster management by quality labels such as the Bronze, Silver, and Gold issued by The European Secretariat of Cluster Analysis. With reference to these certifications, the auth

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Abdel-Fattah, Mohamed K., Elsayed Said Mohamed, Enas M. Wagdi, et al. "Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt." Sustainability 13, no. 4 (2021): 1824. http://dx.doi.org/10.3390/su13041824.

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Soil quality assessment is the first step towards precision farming and agricultural management. In the present study, a multivariate analysis and geographical information system (GIS) were used to assess and map a soil quality index (SQI) in El-Fayoum depression in the Western Desert of Egypt. For this purpose, a total of 36 geo-referenced representative soil samples (0–0.6 m) were collected and analyzed according to standardized protocols. Principal component analysis (PCA) was used to reduce the dataset into new variables, to avoid multi-collinearity, and to determine relative weights (Wi)

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Devkota, Jyoti U. "Time series analysis of radiant heat using 75 hours VIIRS satellite day and night band nightfire data." e-Journal of Analysis and Applied Mathematics 2020, no. 1 (2020): 98–117. http://dx.doi.org/10.2478/ejaam-2020-0008.

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Abstract The nightfires illuminated on the earth surface are caught by the satellite. These are emitted by various sources such as gas flares, biomass burning, volcanoes, and industrial sites such as steel mills. Amount of nightfires in an area is a proxy indicator of fuel consumption and CO2 emission. In this paper the behavior of radiant heat (RH) data produced by nightfire is minutely analyzed over a period of 75 hour; the geographical coordinates of energy sources generating these values are not considered. Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) satellite eart

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Getmanets, O., A. Nekos, and M. Pelikhatyi. "CLUSTER ANALYSIS AND RADIATION MONITORING OF ENVIRONMENT." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (86) (2019): 75–79. http://dx.doi.org/10.17721/1728-2713.86.11.

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Building a background radiation field on the ground on the basis of measurement data taken at a finite number of points is one of the most important tasks of radiation monitoring. The aim of the work: to study the possibility of applying cluster analysis for the tasks of radiation monitoring of the environment. Cluster analysis is a multidimensional statistical analysis. Its main purpose is to split the set of objects under study (observation points) into homogeneous groups or clusters, that is, the task of classifying data and identifying the corresponding structure in them is solved. Methods

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Patzak, Josef, František Paprštein, Alena Henychová, and Jiří Sedlák. "Comparison of genetic diversity structure analyses of SSR molecular marker data within apple (Malus × domestica) genetic resources." Genome 55, no. 09 (2012): 647–65. http://dx.doi.org/10.1139/g2012-054.

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The aim of this study was to compare traditional hierarchical clustering techniques and principal coordinate analysis (PCoA) with the model-based Bayesian cluster analyses in relation to subpopulation differentiation based on breeding history and geographical origin of apple (Malus × domestica Borkh.) cultivars and landraces. We presented the use of a set of 10 microsatellite (SSR) loci for genetic diversity structure analyses of 273 apple accessions from national genetic resources. These SSR loci yielded a total of 113 polymorphic SSR alleles, with 5–18 alleles per locus. SSR molecular data w

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Monés, Jordi, and Marc Biarnés. "Geographic atrophy phenotype identification by cluster analysis." British Journal of Ophthalmology 102, no. 3 (2017): 388–92. http://dx.doi.org/10.1136/bjophthalmol-2017-310268.

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Background/aimsTo identify ocular phenotypes in patients with geographic atrophy secondary to age-related macular degeneration (GA) using a data-driven cluster analysis.MethodsThis was a retrospective analysis of data from a prospective, natural history study of patients with GA who were followed for ≥6 months. Cluster analysis was used to identify subgroups within the population based on the presence of several phenotypic features: soft drusen, reticular pseudodrusen (RPD), primary foveal atrophy, increased fundus autofluorescence (FAF), greyish FAF appearance and subfoveal choroidal thicknes

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Guo, Xiaogang, Zhijie Xu, Jianqin Zhang, Jian Lu, and Hao Zhang. "An OD Flow Clustering Method Based on Vector Constraints: A Case Study for Beijing Taxi Origin-Destination Data." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 128. http://dx.doi.org/10.3390/ijgi9020128.

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Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes. The existing flow clustering methods are limited by the spatial constraints of OD points, rely on the spatial similarity of geographical points, and lack in-depth analysis of high-dimensional flow characteristics, and therefore it is difficult to find irregular flow clusters. In this paper, we propose an OD flow clustering method based on vec

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Novak, I. P. "Basic vocabulary of the Karelian and Vepsian languages in the linguistic and geographical aspect." Bulletin of Ugric studies 11, no. 1 (2021): 90–101. http://dx.doi.org/10.30624/2220-4156-2021-11-1-90-101.

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Introduction: Karelian and Vepsian vocabulary has been collected and studied by linguists from Russia and Finland for two centuries. An invaluable source for research in the dialectology of the North-East group of the Baltic-Finnish languages is the «Comparative and Onomasiological Dictionary of the Karelian, Vepsian and Sami Languages» (2007). The dictionary was prepared by staff of the Institute of Linguistics, Literature and History of the Karelian Research Centre of the Russian Academy of Sciences using field research data from 1979–1981. The article reports the main results of applying th

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Hyde, Richard, Ryan Hossaini, and Amber A. Leeson. "Cluster-based analysis of multi-model climate ensembles." Geoscientific Model Development 11, no. 6 (2018): 2033–48. http://dx.doi.org/10.5194/gmd-11-2033-2018.

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Abstract. Clustering – the automated grouping of similar data – can provide powerful and unique insight into large and complex data sets, in a fast and computationally efficient manner. While clustering has been used in a variety of fields (from medical image processing to economics), its application within atmospheric science has been fairly limited to date, and the potential benefits of the application of advanced clustering techniques to climate data (both model output and observations) has yet to be fully realised. In this paper, we explore the specific application of clustering to a multi

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Lu, Y. L., C. W. Liu, J. W. Li, and J. W. Jiang. "CONSTRUCTION METHOD OF “CELL-CUBE” SPATIO-TEMPORAL DATA MODEL FOR BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 25–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-25-2020.

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Abstract. In recent years, with high accuracy, high frequency, considerable coverage of remote sensing images, map tiles, video surveillance, web crawlers, social networking platforms and other types of spatiotemporal data have exploded in geometric progression. Human society has come into the era of big data in time and space. In view of the characteristics of multi-attribute, multi-dimensional, multisource and heterogeneous spatiotemporal big data, how to make use of the emerging information technology means, combined with the geographic information data analysis means, the rapid mining and

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Burgher, Karen L., Andrew R. Jamieson, and Xuewen Lu. "Genetic Relationships among Lowbush Blueberry Genotypes as Determined by Randomly Amplified Polymorphic DNA Analysis." Journal of the American Society for Horticultural Science 127, no. 1 (2002): 98–103. http://dx.doi.org/10.21273/jashs.127.1.98.

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Twenty-six genotypes of lowbush blueberry (Vaccinium angustifolium Aiton) representing four geographical zones (Maine, United States; New Brunswick, northern Nova Scotia, and western Nova Scotia, Canada) were selected to obtain DNA fingerprints and to estimate genetic similarity by randomly amplified polymorphic DNA analysis. The genotypes were either native accessions or selections from crosses involving native accessions as parents or grandparents. Thirty 10-base RAPD primers were initially screened; 11 proved to be polymorphic, resulting in 73 consistent RAPD bands. All 26 genotypes could b

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Belenov, Nikolai V. "Geographical vocabulary of the Shilan dialect of the Erzya-Mordovian language." Finno-Ugric World 12, no. 4 (2020): 358–67. http://dx.doi.org/10.15507/2076-2577.012.2020.04.358-367.

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Introduction. The article presents the results of research of the geographical vocabulary of the Shilan dialect, one of the Erzya-Mordovian dialects of the Samara region, common among Erzya population of Shilan village in Krasnoyarsk region. The dialect belongs to rare Mordovian dialects of the Samara Volga region that were formed in the region since the middle of the XIX century, and therefore its research is of extra interest. Materials and Methods. The research methods are determined by the purpose and objectives of the study. The analysis of the geographical vocabulary of the Shilan dialec

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Newnham, R. M. "Cluster analysis: An application in forest management planning." Forestry Chronicle 68, no. 5 (1992): 628–33. http://dx.doi.org/10.5558/tfc68628-5.

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The basic principle of cluster analysis is illustrated with a simple example. The method is used to aggregate stands into clusters, each of which is relatively homogeneous and geographically compact but distinct from the remainder. Such aggregation is required to convert the output from a harvest scheduling model to a form suitable as input for a one-year, operational planning model. An application of the method, based on data from the Iroquois Falls Management Unit in northern Ontario, is given.

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Erlebach, Martin, Marián Halás, Jan Daniel, and Pavel Klapka. "Is there congruence in the spatial patterns of regions derived from scalar and vector geographical information?" Moravian Geographical Reports 27, no. 1 (2019): 2–14. http://dx.doi.org/10.2478/mgr-2019-0001.

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Abstract Selected traits of the spatial organisation of a geographical environment which stem from two types of human behaviour (locational and interactive) are examined in this paper. An attempt is made to find and account for similarities in the spatial patterns of scalar and vector geographical data. In doing so, the paper analyses a core-periphery dichotomy, based on socio-economic information, and travel-to-work patterns. The paper uses the concept of a region as an integrating and focusing framework for the study. Formal regions (peripheral areas) are defined through the application of p

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Sarturi, Greici, Carlos Augusto França Vargas, João Maurício Gama Boaventura, and Silvio Aparecido dos Santos. "Competitiveness of clusters." International Journal of Emerging Markets 11, no. 2 (2016): 190–213. http://dx.doi.org/10.1108/ijoem-11-2013-0195.

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Purpose – The purpose of this paper is to deepen the discussion regarding the competitiveness of clusters based on a theoretical and empirical study that compares the level of competitiveness of the Brazilian wine cluster located in Serra Gaúcha with the competitiveness of the Chilean cluster located in Valle del Maule. Design/methodology/approach – A qualitative-descriptive approach was applied to the study, and data collection was conducted through secondary sources. Findings – The analysis employed a competitiveness analysis model consisting of 11 competitiveness factors. The Chilean cluste

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Aliyu, O. M., and J. A. Awopetu. "Multivariate Analysis of Cashew (Anacardium occidentale L.) Germplasm in Nigeria." Silvae Genetica 56, no. 1-6 (2007): 170–79. http://dx.doi.org/10.1515/sg-2007-0026.

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Abstract Multivariate analyses were carried out on fifty-nine germplasm accessions of cashew derived from both local and exotic populations established at the research plots of Cocoa Research Institute of Nigeria (CRIN), Ibadan, southwestern Nigeria, to assess the extent of variability and pattern of genetic diversity among these cashew populations. Data collected on 36 quantitative and 33 qualitative plant characters were subjected to taximetric tools of Euclidean distance of complete linkage (furthest neighbour) and principal component analysis (PCA). The multivariate analyses tentatively gr

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Zhang, Jinting, Xiu Wu, and T. Edwin Chow. "Space-Time Cluster’s Detection and Geographical Weighted Regression Analysis of COVID-19 Mortality on Texas Counties." International Journal of Environmental Research and Public Health 18, no. 11 (2021): 5541. http://dx.doi.org/10.3390/ijerph18115541.

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As COVID-19 run rampant in high-density housing sites, it is important to use real-time data in tracking the virus mobility. Emerging cluster detection analysis is a precise way of blunting the spread of COVID-19 as quickly as possible and save lives. To track compliable mobility of COVID-19 on a spatial-temporal scale, this research appropriately analyzed the disparities between spatial-temporal clusters, expectation maximization clustering (EM), and hierarchical clustering (HC) analysis on Texas county-level. Then, based on the outcome of clustering analysis, the sensitive counties are Cottl

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Lachkhem, Yacine, Étienne Minvielle, and Stéphane Rican. "Geographic Variations of Stroke Hospitalization across France: A Diachronic Cluster Analysis." Stroke Research and Treatment 2018 (July 18, 2018): 1–6. http://dx.doi.org/10.1155/2018/1897569.

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Background. This study evaluates the clustering of hospitalization rates for stroke and compares this clustering with two different time intervals 2009-2010 and 2012-2013, corresponding to the beginning of the French National Stroke Plan 2010–2014. In addition, these data will be compared with the deployment of stroke units as well as socioeconomic and healthcare characteristics at zip code level. Methods. We used the PMSI data from 2009 to 2013, which lists all hospitalizations for stroke between 2009 and 2013, identified on the most detailed geographic scale allowed by this database. We iden

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Solohub, Yurii, Sergey Uliganets, and Olha Bezpala. "DEVELOPMENT OF THE CAPITAL SOCIO-GEOGRAPHICAL REGION SETTLEMENT SYSTEM AS A FACTOR FOR THE FORMATION OF THE REGION TOURIST MARKET." GEOGRAPHY AND TOURISM, no. 53 (2019): 84–91. http://dx.doi.org/10.17721/2308-135x.2019.53.84-91.

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Main goal: To analyze the level of the urban settlement system development of the Capital Socio-Geographical region by means of a cluster analysis method and by selecting the optimal number of capacitive indicators. It is assumed that the most significant characteristics, may be the most important and have a determining function. Methodology: The use of special statistical and mathematical methods of research, in particular, the method of cluster analysis is the basis of the study. This method has gained wide popularity for the study of both the general socio-economic development of the admini

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Di Martino, Ferdinando, Vincenzo Loia, and Salvatore Sessa. "Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis." Advances in Fuzzy Systems 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/808361.

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We present a method by using the hierarchical cluster-based Multispecies particle swarm optimization to generate a fuzzy system of Takagi-Sugeno-Kang type encapsulated in a geographical information system considered as environmental decision support for spatial analysis. We consider a spatial area partitioned in subzones: the data measured in each subzone are used to extract a fuzzy rule set of above mentioned type. We adopt a similarity index (greater than a specific threshold) for comparing fuzzy systems generated for adjacent subzones.

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Brustad, M., CL Parr, M. Melhus, and E. Lund. "Childhood diet in relation to Sámi and Norwegian ethnicity in northern and mid-Norway – the SAMINOR study." Public Health Nutrition 11, no. 2 (2008): 168–75. http://dx.doi.org/10.1017/s1368980007000432.

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AbstractObjectiveThe purpose of this work was to identify dietary patterns in the past using cluster analysis of reported diet in childhood, and to assess predictors for dietary patterns in relation to ethnicity in the population in the Sámi core areas in Norway. The Sámis are an indigenous population living in the border areas of Norway, Sweden, Finland and Russia.DesignPopulation-based, cross-sectional study, using self-administered questionnaires. A food-frequency questionnaire covering selected food items eaten in childhood was used. The questionnaire also provided data on ethnicity.Subjec

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Mazdziarz, Artur. "Alarm Correlation in Mobile Telecommunications Networks based on k-means Cluster Analysis Method." Journal of Telecommunications and Information Technology 2 (June 29, 2018): 95–102. http://dx.doi.org/10.26636/jtit.2018.124518.

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Event correlation and root cause analysis play a fundamental role in the process of troubleshooting all technical faults and malfunctions. An in-depth, complicated multiprotocol analysis can be greatly supported or even replaced by a troubleshooting methodology based on data analysis approaches. The mobile telecommunications domain has been experiencing rapid development recently. Introduction of new technologies and services, as well as multivendor environment distributed across the same geographical area create a lot of challenges in network operation routines. Maintenance tasks have been re

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Elexa, Ľuboš, Ľubica Lesáková, Vladimíra Klementová, and Ladislav Klement. "Identification of prospective industrial clusters in Slovakia." Engineering Management in Production and Services 11, no. 2 (2019): 31–42. http://dx.doi.org/10.2478/emj-2019-0009.

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Abstract Clusters became an integral part of regional policies intended to build and strengthen competitive advantages within specifically identified geographical areas. They are still considered crucial for economic development and employment, although their orientation has slightly changed as the distance and geographical boundaries lost their importance. This article analyses crucial regional data that indicates potentially beneficial economic concentrations as an assumption for the preparation of prospective clusters in Slovakia. Potential clusters were identified based on significant empl

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HAN, Jing, Ming GAO, and Yawen SUN. "Measurement of City Clusters’ Economic Growth Effects and Analysis of the Influencing Factors." Chinese Journal of Urban and Environmental Studies 08, no. 01 (2020): 2050006. http://dx.doi.org/10.1142/s2345748120500062.

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Based on the panel data of 202 prefecture-level cities within 14 national-level city clusters in China from 2007 to 2016, we established a dynamic panel model to measure the economic growth effects of city clusters and analyzed the main influencing factors. The results show that: (i) Technology has a significant impact on the economic growth of city clusters; the narrowing development gap between regions can help city clusters produce good economic growth effects; the city clusters, if more agglomerated, can help better utilize factors, and thus promote coordinated regional development. (ii) C

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TURNBULL, BRUCE W., ERIC J. IWANO, WILLIAM S. BURNETT, HOLLY L. HOWE, and LARRY C. CLARK. "MONITORING FOR CLUSTERS OF DISEASE: APPLICATION TO LEUKEMIA INCIDENCE IN UPSTATE NEW YORK." American Journal of Epidemiology 132, supp1 (1990): 136–43. http://dx.doi.org/10.1093/oxfordjournals.aje.a115775.

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Abstract The authors propose a procedure for the detection of significant clusters of chronic diseases, with particular reference to cancer. The procedure allows for variations in population density and avoids the problem of “post hoc” formation of hypotheses or self-defined populations. This accounts for several of the principal problems of cluster evaluations. The techniques are practical but “computer-intensive.” The procedure, termed the “duster evaluation permutation procedure”, is applied to leukemia incidence data for an Upstate New York region obtained from the New York State Cancer Re

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Hatami, Maleki, Kiomars Rouhrazi, Gholam Khodakaramian, and Naser Sabaghnia. "Characterization and molecular diversity of Iranian rhizobia isolated from faba bean." Genetika 50, no. 1 (2018): 231–42. http://dx.doi.org/10.2298/gensr1801231m.

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The diversity and phylogeny of 30 rhizobia isolated from nodules of faba bean plants grown on 5 geographic regions located in the East Azerbaijan province of Iran were examined using rep-PCR fingerprinting, sequence analysis of 16S rRNA accompanied with nodC genes. Based on cluster analysis of rep-PCR fingerprints, faba bean rhizobia isolates were differentiated into five clusters (A to E) at 80% similarity level. The cophenetic correlation coefficient for the dendrogram obtained from the combined dataset of BOX and ERIC primers was 0.942. The percentage of polymorphic loci was 59.2% using the

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Jasim, Abbas F., Hao Wang, and Thomas Bennert. "Evaluation of Clustered Traffic Inputs for Mechanistic-Empirical Pavement Design: Case Study in New Jersey." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 11 (2019): 332–48. http://dx.doi.org/10.1177/0361198119853557.

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Truck traffic is one of the significant inputs in design and analysis of pavement structures. This paper focuses on comprehensive cluster analysis of truck traffic in New Jersey for implementation of mechanistic-empirical pavement design. Multiple year traffic data were collected from a large number of weigh-in-motion stations across New Jersey. Statistical analysis was first conducted to analyze directional and temporal (yearly) variations of traffic data. Hierarchical cluster analysis was conducted and three optimum clusters were found for axle load spectra (single, tandem, tridem), vehicle

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Porębski, Andrzej. "Application of Cluster Analysis in Research on the Spatial Dimension of Penalised Behaviour." Acta Universitatis Lodziensis. Folia Iuridica 94 (March 30, 2021): 97–120. http://dx.doi.org/10.18778/0208-6069.94.06.

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This paper is focused on some of the possibilities of the use of cluster analysis (clustering) in criminology and the sociology of law. Cluster analysis makes it possible to divide even a large dataset into a specified number of subsets in such a way that the resulting subsets are as homogenous as possible, and at the same time differ from each other substantially. When analysing geographical data, e.g. describing the location of crimes, the result of cluster analysis is a division of a territory into a certain number of coherent areas based on an objective criterion. The division of the terri

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Sabah, L., and M. Şimşek. "INVESTIGATION OF SPATIAL DATA WITH OPEN SOURCE SOCIAL NETWORK ANALYSIS AND GEOGRAPHIC INFORMATION SYSTEMS APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W6 (November 13, 2017): 81–83. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w6-81-2017.

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Social networks are the real social experience of individuals in the online environment. In this environment, people use symbolic gestures and mimics, sharing thoughts and content. Social network analysis is the visualization of complex and large quantities of data to ensure that the overall picture appears. It is the understanding, development, quantitative and qualitative analysis of the relations in the social networks of Graph theory. Social networks are expressed in the form of nodes and edges. Nodes are people/organizations, and edges are relationships between nodes. Relations are direct

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Vilinová, Katarína. "Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia." International Journal of Environmental Research and Public Health 17, no. 12 (2020): 4440. http://dx.doi.org/10.3390/ijerph17124440.

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Cancer is one of the dominant causes of death in the Slovak population. Monitoring the course of the cancer death rate in Slovakia can be considered as a relevant subject for geographical research. Relatively little is known about the geographic distribution of breast and prostate cancer incidence in Slovakia. In the submitted paper, it is hypothesized that breast and prostate cancer in the examined territory are characterized by different intensities, incidences, and spatial differences. The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorre

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Nguyen, Margaret B. "Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions." Journal of Primary Care & Community Health 11 (January 2020): 215013272094051. http://dx.doi.org/10.1177/2150132720940513.

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Introduction: Compared with adults, children have higher emergency department (ED) utilization for asthma exacerbation. While community coalitions have been shown to prevent ED visits for asthma, there is little guidance on where to best implement these efforts. Geographical information systems (GIS) technology can help in the selection and coordination of potential coalition partners. This report proposes a model to be used by clinicians and child health equity advocates to strategize high-impact community health interventions. The aims were to identify the clusters of ED utilization for pedi

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