Paul A. Longley

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

Effective use of today’s powerful GIS technology requires an understanding of the science of problem-solving that underpins it. Since the first edition published over a decade ago, this book has led the way, with its focus on the scientific principles that support GIS usage. It has also provided thorough, upto- date coverage of GIS procedures, techniques and public policy applications. This unique combination of science, technology and practical problem solving has made this book a best-seller across a broad spectrum of disciplines. This fully updated 4th edition continues to deliver on these strengths.