This dataset (compressed rar file) includes the Matlab code files for "Local Fuzzy Geographically Weighted Clustering" algorithm and a shapefile containing socio-demographic data and cancer incident data across 973 block groups in Manhattan, New York. The files are: 1. LFGWC.m = The Matlab code of LFGWC (Local Fuzzy Geographically Weighted Clustering) 2. LFGWC_Call.m = The file to run the above code 3. validity.m = The Matlab code for validating the clustering output 4. licence.txt = The file describing the license terms 5. Demo = Dataset folder Demo folder contains the following: 1. Data.txt = The non-normalized dataset 2. Population.txt = Population for each polygon 3. Distance.txt = Distance among all objects 4. Centroid.txt =...
summary:An iterative fuzzy clustering method is proposed to partition a set of multivariate binary o...
Spatial statistics is a growing discipline providing important analytical techniques in a wide rang...
Disease mapping is used to identify high risk areas, inform resource allocation and generate hypothe...
This dataset (compressed rar file) includes the Matlab code files for "Local Fuzzy Geographically W...
Day by day huge amounts data are produced, and evaluation of these data becomes more difficult. The ...
Clustering techniques are frequently used to analyze census data and obtain meaningful large-scale g...
This paper demonstrates the use of fuzzy clustering to characterize Volunteered Geographic Informati...
Geodemographic classifications are an important tool to support public-service decision making. Whil...
Despite the promise of geocoding and use of area-based socioeconomic measures to overcome the paucit...
Geometric footprints, which delineate the region occupied by a spatial point pattern, serve a variet...
The paper aims to estimate the level and impact of spatial aggregation error for spatial scan statis...
Geocoding a study population as completely as possible is an important data assimilation component o...
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensio...
Within the theoretical framework of this study it is recognized that a very large amount of real-wor...
Geocoding a study population as completely as possible is an important data assimilation component o...
summary:An iterative fuzzy clustering method is proposed to partition a set of multivariate binary o...
Spatial statistics is a growing discipline providing important analytical techniques in a wide rang...
Disease mapping is used to identify high risk areas, inform resource allocation and generate hypothe...
This dataset (compressed rar file) includes the Matlab code files for "Local Fuzzy Geographically W...
Day by day huge amounts data are produced, and evaluation of these data becomes more difficult. The ...
Clustering techniques are frequently used to analyze census data and obtain meaningful large-scale g...
This paper demonstrates the use of fuzzy clustering to characterize Volunteered Geographic Informati...
Geodemographic classifications are an important tool to support public-service decision making. Whil...
Despite the promise of geocoding and use of area-based socioeconomic measures to overcome the paucit...
Geometric footprints, which delineate the region occupied by a spatial point pattern, serve a variet...
The paper aims to estimate the level and impact of spatial aggregation error for spatial scan statis...
Geocoding a study population as completely as possible is an important data assimilation component o...
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensio...
Within the theoretical framework of this study it is recognized that a very large amount of real-wor...
Geocoding a study population as completely as possible is an important data assimilation component o...
summary:An iterative fuzzy clustering method is proposed to partition a set of multivariate binary o...
Spatial statistics is a growing discipline providing important analytical techniques in a wide rang...
Disease mapping is used to identify high risk areas, inform resource allocation and generate hypothe...