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Full Description
This work aims to offer an overview of the latest advancements in geostatistical modeling, the spatial variability of soil resources, and the creation of digital soil maps using R and GIS, with a particular emphasis on their potential application in agricultural resource management.
Contents
Fundamentals of spatial processes and geostatistics
Field soil sampling using GIS and spatial data handling
Spatial variability analysis using semi variogram approach
Introduction to GSTAT package of R and QGIS
Kriging technique and other advanced geostatistical approaches
Procedures of preparing digital soil maps in R
Assessment of uncertainty and error of digital soil maps
Case studies on digital soil mapping