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!

warning: Parameter 2 to gmap_gmap() expected to be a reference, value given in /home/spatiala/public_html/book/includes/ on line 497.

Roger Bivand (with the help of Volker Wichmann, Frank Warmerdam and Johan Van de Wauw) have just released the new development version of the rgdal package which now includes SAGA GIS Binary Grid (.sdat) driver. To install the packages use (the development version will soon be put on CRAN):

Would you like to help me improve this book? This build-in browser uses the iPaper application, which allows you to read this document in a more efficient way. You can then insert comments either in the document or by inserting comments via this website (please refer to Page/Line numbers as indicated in this PDF). This will help me improve the book and reduce errata as much as possible.

Your rating: None Average: 3 (1 vote)

Data sets used in this book are provided as a supplement to the exercise. This data may be freely used and redistributed and is provided "AS-IS" without warranty of any kind. No technical support is provided.

Your rating: None Average: 4 (1 vote)
Syndicate content