GSIF (R package) provides a number of functions and utilities to process primary soil data to produce soil property and factor-type maps. The tutorial focuses on technical topics such as how to fit splines using soil profile data, how to prepare the gridded maps according to the GlobalSoilMap.net specifications, how to import and export data from R to external formats (including GIS databases such as PostGIS) and similar. Produced data and maps will be then visualized in Google Earth (plotKML package) and OS GIS packages.
T. (Tom) Hengl
Soil mapping teams, MSc and PhD level students working with soil data and aiming at producing soil property maps according to the international (FAO/GlobalSoilMap.net) specifications.
Digital soil mapping (advanced)
R programming (basic)
GIS modelling (basic)
plotKML tutorial (basic)
Installation of the package and general functionality (1.5 hrs)
Importing and organizing primary soil data; running analysis (spline fitting, reformatting, sub-setting, regression modelling) and generating predictions of soil properties (1.5 hrs)
Exercise using a case study (1.5 hrs)
Exercises using participant data (1.5 hrs)
Software / materials:
R (packages: GSIF, plotKML, sp, raster, rgdal, gstat, aqp...)