This course is aimed at post-graduate students and researchers who want to advance their understanding of geographic information science and technology, including introduction to the R environment for (spatial) statistical computing and visualization, and the QGIS open-source GIS. This will be especially useful for students/researchers involved in projects that use spatial information for applications in natural resource management, hydrology, ecology, and soil science. In the final two days st