lue
LUE Scientific Database and Environmental Modelling Framework
Science Score: 67.0%
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 -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.0%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
LUE Scientific Database and Environmental Modelling Framework
Basic Info
- Host: GitHub
- Owner: computationalgeography
- License: mit
- Language: C++
- Default Branch: master
- Homepage: https://lue.computationalgeography.org
- Size: 9.45 MB
Statistics
- Stars: 16
- Watchers: 3
- Forks: 5
- Open Issues: 222
- Releases: 12
Topics
Metadata Files
README.md
LUE
LUE scientific database and environmental modelling framework
LUE is software for storing and manipulating large amounts of information for large amounts of objects. This information can optionally have a reference in time and space. For example, LUE can represent collections of wandering animals and their properties, some of which are changing through time, or the elevation of the surface of one or multiple areas. The software is useful, and currently mainly used, in the context of environmental modelling of biological and physical systems, represented by agents and fields, but we make sure that the software is as generic as possible, allowing it to be useful in other contexts as well.
Currently, LUE contains two main parts: LUE data model and LUE framework. LUE data model is an implementation of the LUE physical data model, which allows users to perform I/O to the "LUE Scientific Database". It allows for the storage of large amounts of objects and their location in time and space, and their properties.
LUE framework is a collection of data types and algorithms that can be combined to translate large amounts of information. It allows computations to be performed on hardware ranging from laptops to compute clusters, without the user having to know about high-performance computing and the related technology.
Source code
C/I builds
Installation
The easiest way to install LUE is using Conda:
bash
conda install -c conda-forge lue
More information about how to install LUE can be found in the LUE documentation.
Owner
- Name: Computational Geography
- Login: computationalgeography
- Kind: organization
- Email: d.karssenberg@uu.nl
- Website: https://www.computationalgeography.org
- Repositories: 4
- Profile: https://github.com/computationalgeography
Computational Geography R&D team of the Department of Physical Geography at Utrecht University in the Netherlands
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
LUE scientific database and environmental modelling
framework
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Kor
family-names: de Jong
orcid: 'https://orcid.org/0000-0002-8650-9961'
affiliation: Utrecht University
- given-names: Oliver
family-names: Schmitz
orcid: 'https://orcid.org/0000-0002-0493-851X'
affiliation: Utrecht University
identifiers:
- type: doi
value: 10.5281/zenodo.5535685
repository-code: 'https://github.com/computationalgeography/lue'
url: 'https://lue.computationalgeography.org/'
license: MIT
GitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 141
- Watch event: 5
- Issue comment event: 32
- Push event: 58
- Pull request review event: 2
- Pull request event: 96
- Fork event: 1
Last Year
- Create event: 1
- Release event: 1
- Issues event: 141
- Watch event: 5
- Issue comment event: 32
- Push event: 58
- Pull request review event: 2
- Pull request event: 96
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Kor de Jong | k****1@u****l | 1,992 |
| Oliver Schmitz | o****z@u****l | 16 |
| dependabot[bot] | 4****] | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 357
- Total pull requests: 138
- Average time to close issues: 7 months
- Average time to close pull requests: 3 days
- Total issue authors: 7
- Total pull request authors: 4
- Average comments per issue: 0.39
- Average comments per pull request: 0.08
- Merged pull requests: 130
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 99
- Pull requests: 90
- Average time to close issues: 22 days
- Average time to close pull requests: 1 day
- Issue authors: 6
- Pull request authors: 2
- Average comments per issue: 0.24
- Average comments per pull request: 0.02
- Merged pull requests: 83
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- kordejong (322)
- OliverSchmitz (31)
- saeb-faraji-gargari (2)
- edwinkost (2)
- BramDr (1)
- StevenHosper (1)
- robknapen (1)
Pull Request Authors
- kordejong (167)
- OliverSchmitz (12)
- saeb-faraji-gargari (6)
- dependabot[bot] (4)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 4
conda-forge.org: lue
LUE is software supporting the representation and numerical simulation of geographical systems. Using LUE, model developers can develop models using a syntax that looks very similar to map algebra, in either Python or C++. Given such a model, modellers can simulate real-world geographical systems with a large extent and at high resolutions. LUE models can be executed on small laptops and on large cluster partitions. LUE is the result of multiple research projects performed by the Computational Geography group at Utrecht University in the Netherlands. One of the focus areas of this group is to improve on the concepts and design of numerical simulation frameworks for geographical systems, with respect to their functionality and performance. LUE supports both agent-based and field-based modelling of geographical systems, with the support for field-based modelling currently being the most mature.
- Homepage: https://lue.computationalgeography.org/
- License: MIT
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Latest release: 0.3.5
published over 3 years ago
Rankings
Dependencies
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- breathe * development
- conan * development
- graphviz * development
- ipython * development
- matplotlib * development
- rasterio * development
- scipy * development
- setuptools * development
- sphinx * development
- sphinx_rtd_theme * development
- tmuxp * development
- actions/cache v3 composite
- actions/checkout v4 composite