Geostatistical mapping can be defined as analytical production of maps by using field observations, auxiliary information and a computer program that generates predictions. The purpose of this guide is to assist you in producing quality maps by using fully-operational open source software packages: R+gstat/geoR and SAGA GIS. Materials presented in this book have been used for the five-day advanced training course "GEOSTAT: spatio-temporal data analysis with R+SAGA+Google Earth" that is periodically organized by the author and collaborators. This is an open access publication!
In addition to a free downloadable PDF copy of the book, you can:
- Download the datasets used in the text; they are very heavily oriented towards environmental issues
- Buy a hardcopy of the text from lulu.com for $12.78
- Read the chapters online in a scribd interface, and enter comments and suggestions for improvements
Geospatial Analysis: A Comprehensive Guide To Principles, Techniques And Software Tools by de Smith, Goodchild and Longley
- 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 modeling, artificial neural networks and evolutionary computing
Full text is available online, including diagrams; text is organized by chapter, searchable, and includes Google Translate buttons in 10 different languages. A free PDF is available with purchase of the book.