Spatial

Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.

This book develops spatial interaction models for the analysis of human interaction within space, in terms of both accessibility and land use. Presenting case studies on the Azores and Morocco, it covers applications in various regions of Europe and Africa. The respective models simulate land use, employment, households, commuting and shopping movements and land values, employment distribution for basic activities, changes in accessibility, and changes in land suitability due to climate change.