2021-09-30, 14:00–15:30, Buenos Aires
R Spatial is a lively community of people using R for analyzing spatial data. The panel will address where the community is and where it is going, and discuss the role that OSGeo libraries, used by several R packages, currently have, may have, or shouldn't have.
Talks (10 minutes each, questions in chat)
Introduction by chair on proceedings (5 minutes, Edzer)
- Overview of the ecosystem: IDEs, dependencies, packages, resources, applications (Paula)
- OSGeo/R interfaces and upstream contributions (Roger Bivand)
- qgisprocess: A command-line interface to QGIS within a statistical programming and interactive data analysis environment (Dewey Dunnington)
R’s capabilities for reproducible spatial data visualization (Lorena)
Open discussion (45 minutes)
What is R’s niche within the wider FOSS4G community?
- How can R-spatial be better integrated into FOSS4G?
- What are gaps in the FOSS4G ecosystem that R-spatial can fill?
- What are gaps in R-Spatial that FOSS4G/OSGeo can help with?
- How can R-spatial become an active OSGeo member?
- How can R-spatial (better) contribute to OSGeo?
- How to get involved in R-Spatial?
R-spatial teamTrack –
Transition to FOSS4GTopic –
FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc.Level –
1 - Principiants. No required specific knowledge is needed.Language of the Presentation –
Dewey Dunnington (Ph.D., P.Geo.) is an environmental researcher, programmer, and educator based in Halifax, Nova Scotia. Dewey’s research investigates the mechanisms that control metal cycling in lakes alongside geospatial applications to environmental research. He is currently a Physical Scientist at Fisheries and Oceans Canada.
Edzer Pebesma is a professor at the Institute for Geoinformatics of the University of Muenster, Germany, co-editor of the Journal for Statistical Software, co-author of R packages sp, sf, s2 and stars, and ordinary member of the R Foundation. Edzer strongly advocates open science.
Paula Moraga is an Assistant Professor of Statistics at King Abdullah University of Science and Technology (KAUST) and the PI of the GeoHealth group. Her research focuses on statistical methods for geospatial data analysis and health surveillance.
Roger Bivand is a professor at the Norwegian School of Economics. His specialties are Geographical Information Analysis, Statistical programming and Spatial econometrics. Roger is author of numerous R packages (rgdal, sp, maptools, rgrass7) and the main author of the Applied Spatial Data Analysis with R book.
Lorena is a data scientist and researcher at the University of Salzburg with the Risk, Hazard & Climate Lab. Her research focuses on spatio-temporal analysis of Earth Observation data for mapping and monitoring natural hazards and landscape dynamics. She contributes to R packages for spatial analysis.