Introduction -- Local Modelling -- Grid Data -- Spatial Patterning in Single Variables -- Spatial Relations -- Spatial Prediction 1: Deterministic Methods, Curve Fitting, and Smoothing -- Spatial Prediction 2: Geostatistics -- Point Patterns and Cluster Detection -- Summary: Local Models for Spatial Analysis
Summary
Focusing on solutions, this second edition provides guidance to a wide variety of real-world problems. The text presents a complete introduction to key concepts and a clear mapping of the methods discussed. It also explores connections between methods. New chapters address spatial patterning in single variables and spatial relations. In addition, every chapter now includes links to key related studies. The author clearly distinguishes between local and global methods and provides more detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and multic
Bibliography
Includes bibliographical references (pages 277-306) and index
