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Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics, geostatistics and the spatial filtering techniques used in all the relevant programs and software.

Geospatial data. --- Spatial analysis (Statistics) --- 519.25 --- 681.3*G3 --- 681.3*H4 --- Statistical data handling --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Information systems applications (GIS etc.) --- 681.3*H4 Information systems applications (GIS etc.) --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 519.25 Statistical data handling --- Geospatial data --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Data, Geospatial --- Geographic information systems --- Spatial analysis (Statistics).

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"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, and spatial interaction models. In addition, it provides a tutorial for ESF model specification and interfaces, including author developed, user-friendly software"--

Spatial analysis (Statistics) --- Regression analysis. --- Eigenvectors. --- Matrices --- Vector spaces --- Eigenfactor --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems

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This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

Geographical information systems. --- Application software. --- Geology—Statistical methods. --- Optical data processing. --- Environmental geography. --- Geographical Information Systems/Cartography. --- Information Systems Applications (incl. Internet). --- Quantitative Geology. --- Image Processing and Computer Vision. --- Environmental Geography. --- Computer Applications.

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This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

Geographical information systems. --- Application software. --- Geology—Statistical methods. --- Optical data processing. --- Environmental geography. --- Geographical Information Systems/Cartography. --- Information Systems Applications (incl. Internet). --- Quantitative Geology. --- Image Processing and Computer Vision. --- Environmental Geography. --- Computer Applications.