Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to …
"This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through Exploratory Spatial Data Anal…
Introduction -- Exploratory spatial data analysis -- Models dealing with spatial dependence -- Advanced models dealing with spatial dependence -- Models dealing with spatial heterogeneity -- Models dealing with both spatial dependence and spatial heterogeneity -- Advanced spatia…
This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to …
"The application of geo-spatial technologies, especially Geographic Information Systems (GIS), to issues in history is among the most exciting developments in both digital humanities and spatial humanities. The book captures the wide variety of geo-spatial applications to both t…
"The application of geo-spatial technologies, especially Geographic Information Systems (GIS), to issues in history is among the most exciting developments in both digital humanities and spatial humanities. The book captures the wide variety of geo-spatial applications to both t…
The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them avail…
