R and OS GIS such as SAGA GIS and/or GRASS GIS represent a powerful combo of packages to analyze digital elevation models - to derive land surface parameters and objects, run hydrological analysis and operate with raster maps. The course focuses on connecting R with SAGA GIS (RSAGA package) and GRASS GIS (spgrass6) and then automating analysis by scripting.The objective of this course is to train participants to learn to establish link between R and OS GIS and then automate analysis of DEMs for various purposes.
T. (Tom) Hengl
MSc level and PhD level students working with soil and/or environmental data.
GIS modelling (advanced)
R programming (basic)
Introduction to SAGA GIS and GRASS GIS (1.5 hrs)
Linking R with OS GIS (1.5 hrs)
Exercise - deriving uncertainty of flow models using geostatistical simulations (1.5 hrs)
Exercise - self study and questions (1.5 hrs)
Software / materials:
R (packages: sp, raster, rgdal, gstat, RSAGA, spgrass6...)