Convener:
Lorena AbadECSECS |
Co-conveners:
Jakub Nowosad,Ewa Grabska-SzwagrzykECSECS,Edzer Pebesma
Wed, 17 Apr, 19:00–20:00 (CEST)
Room N1
Wed, 19:00
R is a free, open-source programming language popularly used for data science, statistical analysis, and visualization. Spatial data analysis has been strongly supported by the R community, that provides tools for data reading, writing and downloading, and for spatial processing, visualizing and modelling. The R-Spatial package ecosystem relies on common libraries for geospatial analysis such as GDAL, GEOS, and PROJ. In this workshop, we will introduce participants to spatial data analysis in R. For this, there will be demonstrations of key R packages like {sf}, {stars}, {terra} for vector and raster data processing. We will also focus on spatial data visualization using the {tmap} package. We will focus on datasets strongly used by the Geoscience community, including satellite imagery.
Schedule 19:00-19:10: Introduction to R-Spatial 19:10-19:30: Vector data 19:30-19:50: Raster data 19:50-20:00: Q&A
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