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A practical guide to geostatistical mapping
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A practical guide to geostatistical mapping


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  • 1. 178440 181560 178440 181560333760 333760 333760 333760 40% 70% ordinary kriging A Practical Guide to Geostatistical Mapping 7.51 universal kriging 4.72 A Practical Guide to Geostatistical Mapping329600 329600 329640 329640 178440 181560 178440 181560 Fig. 5.19. Mapping uncertainty for zinc visualized using whitening: ordinary kriging (left) and universal kriging Tomislav Hengl (right). Predicted values in log-scale.Geostatistical mapping can be defined as analytical production of maps by using fieldobservations, auxiliary information and a computer program that calculates values atlocations of interest. The purpose of this guide is to assist you in producing quality maps byusing fully-operational open source software packages. It will first introduce you to thebasic principles of geostatistical mapping and regression-kriging, as the key predictiontechnique, then it will guide you through software tools – R+gstat/geoR, SAGA GIS andGoogle Earth – which will be used to prepare the data, run analysis and make final layouts.Geostatistical mapping is further illustrated using seven diverse case studies: interpolationof soil parameters, heavy metal concentrations, global soil organic carbon, species densitydistribution, distribution of landforms, density of DEM-derived streams, and spatio-temporal interpolation of land surface temperatures. Unlike other books from the “use R”series, or purely GIS user manuals, this book specifically aims at bridging the gaps betweenstatistical and geographical computing.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 periodicallyorganized by the author and collaborators.Visit the books homepage to obtain a copy of the data sets and scripts used in the exercises: involved: join the R-sig-geo mailing list! Hengl, T. Printed copies of this book can be ordered via