[full text online] This guide addresses the full spectrum of analytical techniques that are provided within modern Geographic Information Systems (GIS) and related geospatial software products. It is broad in its treatment of concepts and methods and representative in terms of the software that people actually use. Topics covered in detail include:
Geospatial analysis concepts
Core components of geospatial analysis, including distance and directional analysis, geometrical processing, map algebra, and grid models
Exploratory Spatial Data Analysis (ESDA) and spatial statistics, including spatial autocorrelation and spatial regression
Surface analysis, including surface form analysis, gridding and interpolation methods
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
Full citation:
de Smith, M. J., M. F. Goodchild, and P. A. Longley (2007). Geospatial Analysis: A comprehensive guide to principles, techniques, and software tools, 2nd Edition. London: Troubador
Title:
Geospatial Analysis: A comprehensive guide to principles, techniques, and software tools
Author(s):
Michael J. de Smith, Michael F. Goodchild, and Paul A. Longley
