Geospatial Analysis (6th edition) provides a compehensive guide to concepts, methods and tools, with many examples being provided using a variety of software tools such as ArcGIS, Idrisi, Grass, Surfer and many others to clarify the concepts discussed. Topics covered in detail include:
Geospatial analysis concepts
Analytical methodologies and model building
Core components of geospatial analysis, including distance and directional analysis, geometrical processing, map algebra, and grid models
Exploratory Spatial and Spatio-temporal Data Analysis (ESDA, ESTDA) and spatial statistics, including spatial autocorrelation and spatial regression
Surface analysis, including surface form and flow analysis, gridding and interpolation methods, and visibility analysis
Network and locational analysis, including shortest path calculation, travelling salesman problems, facility location and arc routing
Geocomputational methods, including agent-based modelling, artifical neural networks and evolutionary computing
Big Data - lessons for researchers