Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/zule-lab/spatialr-workshop
This is the presentation, code, and data for a ZULE lab meeting workshop introducing the world of spatial analysis in R.
https://github.com/zule-lab/spatialr-workshop
Last synced: about 1 month ago
JSON representation
This is the presentation, code, and data for a ZULE lab meeting workshop introducing the world of spatial analysis in R.
- Host: GitHub
- URL: https://github.com/zule-lab/spatialr-workshop
- Owner: zule-lab
- License: gpl-3.0
- Created: 2022-03-25T18:21:42.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-16T14:07:42.000Z (6 months ago)
- Last Synced: 2024-07-16T17:14:53.771Z (6 months ago)
- Language: R
- Homepage: https://zule-lab.github.io/spatialR-workshop/
- Size: 43.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Ziter Urban Landscape Ecology Lab: SpatialR Workshop
Author: Isabella RichmondThe goal of this workshop is to familiarize the ZULE lab with knowledge regarding packages, basic analyses, and mapping strategies that we can use to clean, analyze, and visualize spatial data within R.
The slides can be found [here]( zule-lab.github.io/spatialR-workshop/). The workthrough of examples including data, code, and outputs can be found in the `example/` folder.
Dependencies for this workshop include `tidyverse`, `sf`, `stars`, `mapview`, and `osmdata`.