Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Session Overview
Keynote: R Spatial
Monday, 05/July/2021:
3:30pm - 4:30pm

Session Chair: Peter Macharia
Zoom Host: Linda Jazmín Cabrera Orellana
Replacement Zoom Host: s gwynn sturdevant
Virtual location: The Lounge #key_pebesma

Session Topics:
Spatial analysis

ID: 353 / [Single Presentation of ID 353]: 1
Keynote Talk
Topics: Spatial analysis

Keynote: R Spatial

Edzer Pebesma

Universität Münster, Germany

R Spatial is a lively community of people using R for analysing spatial data. From the early days of R, spatial packages have formed a substantial part of the R package ecosystem. Things took off from 2005 on when packages like sp, rgdal, rgeos and raster provided shareable infrastructure for spatial vector and raster data. Second

generation packages including sf, stars and terra will take over this role when rgdal and rgeos retire in 2024. The pattern of “download followed by local file access” gradually shifts to directly accessing and processing massive, cloud-based spatiotemporal data sources that include remote sensing imagery archives, weather and climate data, point clouds, and large vector datasets such as OpenStreetMap or census datasets. Responsive analysis by working at lower resolutions or with other spatial generalizations forms a challenge that is particular to spatial data. R Spatial has constantly relied on the OSGEO libraries GDAL, PROJ and GEOS for I/O, coordinate transformations, and geometrical operations. These libraries create de facto interoperability across geospatial communities and will remain central. Upcoming changes for R Spatial include switching to spherical geometry, handling of data cubes, and time-dependent coordinate reference systems that cope with plate