The Statistical analysis of spatial Data in Agro-Environmental research summer school (SDAE) aims to present statistical analysis of agro-environmental data at different scales, from catchment to regional scale.
Topics: Sample design, advanced literature search and analysis (e.g., meta-analysis), techniques for estimation and visualization of data at territorial scale (e.g., spatial mixed models, random forest, regression boosted trees), methods for covariate acquisition and selection, use of reference databases on land cover (CORINE land cover), soil data and maps (LUCAS and ESDAC-JRC products), and weather data (MARS, Worldclim).
At the end of the SDAE summer school, participants will be able to treat spatial data (e.g., visualization, spatial references and projections, digital elevation models and terrain analysis), and to use advanced literature analysis tools.
The course is dedicated to PhD students, young researchers, master students, professionals specialized in territorial analysis with numerical-statistical background.
This is a companion discussion topic for the original entry at https://www.comses.net/events/540/