Spatial Analysis Methods and Practice: Describe - Explore - Explain through GIS

- Blurb -

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 Analysis; * Analyzing geographic distributions and point patterns; * Spatial autocorrelation; * Spatial clustering; * Geographically Weighted Regression and OLS regression; * Spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. * Exercises are solved twice: first through ArcGIS, and then GeoDa. * Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. * Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.