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!

Support independent publishing: Buy this book on Lulu.This is an Open Access Publication which means that a digital copy of this book is freely available under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0.

Next year a large international conference on spatial statistics will be held in Enschede, the Netherlands. For more info see: www.spatialstatisticsconference.com; I have been invited, together with a number of other open source enthusiasts, to present a keynote lecture. Down-below is a short summary of my lecture.

Title: "R+OSGeo = Statistics meets Geographical computing"

Short title: 
get GSOD data
Purpose and use: 
Import, formating and binding of the Daily Global Weather Measurements, 1929-2009 (NCDC, GSOD)
Programming environment: 
R / S language
Status of work: 
Tested on a MS Windows machine only

Description of files available via the NCDC website. This is an extensive dataset and requires substantial storage and processing capacities - each station is saved in a separate directory and needs to be processed separately. The attached example shows temperature and precipitation measurements for 1st of May 2006.

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 www.scribd.com 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.

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