https://github.com/3dgeo-heidelberg/aeos
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: 3dgeo-heidelberg
- Language: Python
- Default Branch: main
- Size: 989 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
AEOS
AEOS is a QGIS Plugin that integrates some of the functionality of the LiDAR simulator HELIOS++ into QGIS.
Install instructions:
Since the plugin is based on HELIOS++, which is available on conda-forge, QGIS must be installed via conda/mamba. We recommend downloading the Miniforge distribution and using the package manager mamba.
- Create a new environment with QGIS and HELIOS++:
mamba create -n qgis-helios -c conda-forge python=3.12 qgis helios
mamba activate qgis-helios
In this environment, you can start the QGIS GUI with the command: qgis
- Install the plugin:
Option 1 - Clone the repository into your plugins folder.
Option 2 - Download the repository as a zip file and unpack it into your plugins folder.
Hint: By default your plugins folder is within your QGIS installation here: QGIS3/profiles/default/python/plugins.
:movie_camera: Tutorial video (German)
A tutorial video is available for the first version of the plugin:
- Demo-Session: Simulation von Laserscanning mit AEOS, dem QGIS Plugin für HELIOS++ at the FOSSGIS conference 2022: https://pretalx.com/fossgis2022/talk/JPEZDH/
Owner
- Name: 3DGeo Research Group, Heidelberg University
- Login: 3dgeo-heidelberg
- Kind: organization
- Location: Heidelberg, DE
- Website: https://uni-heidelberg.de/3dgeo
- Twitter: 3DGeoHD
- Repositories: 6
- Profile: https://github.com/3dgeo-heidelberg
The 3DGeo Research Group investigates and develops computational methods for the geographic analysis of 3D/4D point clouds.
GitHub Events
Total
- Issues event: 1
- Delete event: 2
- Push event: 2
- Pull request event: 1
- Pull request review event: 2
- Create event: 1
Last Year
- Issues event: 1
- Delete event: 2
- Push event: 2
- Pull request event: 1
- Pull request review event: 2
- Create event: 1
Issues and Pull Requests
Last synced: 10 months ago
