mca_white_tailed_deer
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ecodiv
- License: cc-by-sa-4.0
- Language: JavaScript
- Default Branch: main
- Size: 11.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Mapping the distribution of the White-tailed deer in Minnesota, using multi-criteria analysis and spatial disagregation in GRASS GIS
This tutorial is designed as a practical introduction to using GRASS GIS for suitability mapping of a species based on a multi-criteria analysis (MCA) approach. It uses the distribution of white-tailed deer as a case study. The tutorial aims to provide an accessible way to learn the principles of spatial analysis and decision-making workflows within GRASS GIS.
Through a structured, hands-on approach, you will learn how to use GRASS GIS to integrate various spatial data layers, apply multi-criteria analysis techniques, and generate meaningful insights about deer distribution patterns. While the white-tailed deer serves as the focal species, the skills and concepts presented are widely applicable to a range of ecological and spatial decision-making scenarios.
This tutorial emphasizes learning by doing, guiding you through the core functionality of GRASS GIS, including data import, preprocessing, and advanced spatial modeling. As an open-source platform, GRASS GIS provides a powerful and flexible environment for ecological analysis, making it an ideal tool for MCA. By the end of this tutorial, you will have a understanding of how to use GRASS GIS for MCA and the confidence to apply these techniques to your own projects.
The repository contains the source material (Quarto book), but note that the Quarto extensions are not included. They need to be installed separately.
For the latest online HTML version, go to https://ecodiv.earth/TutorialsNotes/deerdensities/.
To cite this reader, use 
Owner
- Name: Paulo van Breugel
- Login: ecodiv
- Kind: user
- Company: Ecodiv.earth
- Website: https://ecodiv.earth
- Repositories: 2
- Profile: https://github.com/ecodiv
Citation (CITATION.cff)
cff-version: 1.1.0 message: "If you use this material, please cite it as below." authors: - family-names: van Breugel given-names: Paulo orcid: https://orcid.org/0000-0001-9579-0831 title:Mapping the distribution of the White-tailed deer in Minnesota using multi-criteria analysis and spatial disagregation in GRASS GIS version: v1.5 date-released: 2025-01-10
GitHub Events
Total
- Release event: 1
- Push event: 7
- Create event: 3
Last Year
- Release event: 1
- Push event: 7
- Create event: 3
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0