geomorphometry2025_workshop
Workshop: Propagating DEM Uncertainty to Stream Extraction using GRASS at Geomorphometry 2025
https://github.com/ncsu-geoforall-lab/geomorphometry2025_workshop
Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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✓Institutional organization owner
Organization ncsu-geoforall-lab has institutional domain (geospatial.ncsu.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary
Repository
Workshop: Propagating DEM Uncertainty to Stream Extraction using GRASS at Geomorphometry 2025
Basic Info
- Host: GitHub
- Owner: ncsu-geoforall-lab
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 24.1 MB
Statistics
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Geomorphometry2025 Workshop
Workshop: Propagating DEM Uncertainty to Stream Extraction using GRASS at Geomorphometry 2025
Local Setup
The project uses Jupyter Notebook and can be run locally. To do this, you need to have Python installed on your machine. The project is managed with uv to install uv you can use the following command:
macOS or Linux
bash
curl -LsSf https://astral.sh/uv/install.sh | sh
wget
bash
wget -qO- https://astral.sh/uv/install.sh | sh
Windows
bash
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
You can also install uv though various package manganger by following the instruction found here. Once you have uv installed, you can run the following command to create a virtual environment and install the required packages:
bash
uv sync
This will create a virtual environment in the .venv directory and install all the required packages listed in the uv.lock file. Once the installation is complete, you can activate the virtual environment using the following command:
Activate the Virtual Environment
bash
source .venv/bin/activate
Make sure your Jupyter Notebooks kernal is set to the virtual environment.
Owner
- Name: NCSU GeoForAll Lab
- Login: ncsu-geoforall-lab
- Kind: organization
- Email: ncsu_osgeorel@ncsu.edu
- Location: Raleigh, NC, USA
- Website: http://geospatial.ncsu.edu/geoforall
- Repositories: 52
- Profile: https://github.com/ncsu-geoforall-lab
Open Source Geospatial Foundation Research and Education Laboratory at North Carolina State University
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "White"
given-names: "Corey"
orcid: "https://orcid.org/0000-0002-2903-9924"
- family-names: "Haedrich"
given-names: "Caitlin"
orcid: "https://orcid.org/0000-0003-4373-5691"
title: "Workshop: Propagating DEM Uncertainty to Stream Extraction using GRASS"
version: 2.0.0
doi: 10.5281/zenodo.15283713
date-released: 2025-04-25
url: "https://github.com/ncsu-geoforall-lab/geomorphometry2025_workshop"
preferred-citation:
type: conference-paper
authors:
- affiliation: North Carolina State University
family-names: "White"
given-names: "Corey"
orcid: "https://orcid.org/0000-0002-2903-9924"
- affiliation: North Carolina State University
family-names: "Haedrich"
given-names: "Caitlin"
orcid: "https://orcid.org/0000-0003-4373-5691"
doi: 10.5281/zenodo.15283713
conference:
name: "Geomorphometry 2025"
year: 2025
place: "Perugia, IT"
license:
- cc-by-4.0
message: If you use this work, please cite it using the metadata from this file.
title: 'Workshop: Propagating DEM Uncertainty to Stream Extraction using GRASS'
keywords:
- geomorphometry
- streams
- conditional Gaussian simulation
- grass
- DEM
GitHub Events
Total
- Push event: 10
Last Year
- Push event: 10