08-22, 09:00–13:00 (Europe/Rome), 212
R is an open-source language and a major player in the field of data science.
The R spatial ecosystem is very rich and provides tried and tested tools for working with spatial vector or raster data.
This workshop will introduce R and its package for handling spatial data.
This workshop is aimed at beginners.
The first part will focus on data frames (table-like objects) and how to handle tabular data in R.
We will start with the basics of the R language and the grammar of a family of additional R packages called tidyverse.
The second part of the workshop will concentrate on the spatial analysis of vector and raster data.
It will start by showing how to create maps with the tmap package.
Then, several workflows related to spatial vector data will be discussed: how to read spatial vectors, perform common spatial operations (spatial filtering, intersections, spatial joining, and geometry operations - buffers, centroids), how to reproject vector data, and how to export it.
Next, we explain an ecosystem of packages related to raster data handling and provide a few examples of spatial raster operations.
Finally, pointers to additional materials will ensure that participants know where to get help and how to take confident next steps after the workshop.
Materials will be available here: https://bakaniko.github.io/foss4g2022-getting-started-rspatial/
I am a computational geographer working at the intersection between geocomputation and the environmental sciences. My research is focused on developing and applying spatial methods to broaden our understanding of processes and patterns in the environment. Vital part of my work is to create, collaborate, and improve geocomputational software. I am an active member of the #rspatial community and a co-author of the Geocomputation with R book.
Nicolas Roelandt is a GIS engineer at the Gustave Eiffel University
He is active in the OSGeo-fr chapter board, the OSGeoLive PSC and he is a FOSS4G enthusiast.