This lesson is an introduction to working with raster and vector data in R for researchers in urbanism or related fields. After a brief introduction to R, it focuses on vector and raster data and their use in practical GIS operations on urban datasets.
Version 1.0
Please see the CONTRIBUTING page for guidance on how to contribute to this lesson.
This lesson was developed by:
Large parts of the lesson were adapted from:
Jemma Stachelek, Serah Njambi, Mike Mahoney, sheila, Andrea T. Thomaz, Annajiat Alim Rasel, David Pérez-Suárez, Erika Koontz, Joe Molloy, Jon Jablonski, Juan Fung, Katrin Leinweber, Matthew Sisk, Richard Detomasi, Sarah LR Stevens, Shamar Stewart, Susan Chen, & Wartini Ng. (2023). datacarpentry/r-intro-geospatial: Introduction to R for Geospatial Data 2023-05 (2023.05). Zenodo. https://doi.org/10.5281/zenodo.7897052
Jemma Stachelek, & Kunal Marwaha. (2023). datacarpentry/organization-geospatial: Data Carpentry: Introduction to Geospatial Concepts 2023-05 (2023.05). Zenodo. https://doi.org/10.5281/zenodo.7897047
Jemma Stachelek, Erin Alison Becker, Drake Asberry, Matt Strimas-Mackey, Annajiat Alim Rasel, Angela Li, Ryan Avery, kcarini, Kunal Marwaha, mneilson-usgs, Adam H. Sparks, bart1, Christian Boldsen Knudsen, Daniel Kerchner, Darya P Vanichkina, Pérez-Suárez, Jon Jablonski, Michael Liou, Natalia Morandeira, & Rob Williams. (2023). datacarpentry/r-raster-vector-geospatial: Data Carpentry: Introduction to Geospatial Raster and Vector Data with R, February 2023 (v2023.02.06). Zenodo. https://doi.org/10.5281/zenodo.7612769
Please see the CITATION page for guidance on how to cite this lesson.
The Geospatial Data Carpentry for Urbanism lesson, like most other software provided by The Carpentries, are made available under the OSI-approved MIT license. Please see the LICENSE page for further information.