https://github.com/computationalgeography/lue

LUE Scientific Database and Environmental Modelling Framework
https://github.com/computationalgeography/lue

amt asynchronous-tasks cartographic-modelling computational-geography distributed-computing environmental-modelling hpc lue parallel-computing scientific-database

Last synced: 20 days ago
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LUE Scientific Database and Environmental Modelling Framework

• Host: GitHub
• URL: https://github.com/computationalgeography/lue
• Owner: computationalgeography
• License: mit
• Created: 2016-06-22T12:52:57.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-05-12T12:33:05.000Z (7 months ago)
• Last Synced: 2024-05-12T13:41:32.030Z (7 months ago)
• Topics: amt, asynchronous-tasks, cartographic-modelling, computational-geography, distributed-computing, environmental-modelling, hpc, lue, parallel-computing, scientific-database
• Language: C++
• Homepage: https://lue.computationalgeography.org
• Size: 7.51 MB
• Stars: 12
• Watchers: 5
• Forks: 4
• Open Issues: 171
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE.txt
  • Citation: CITATION.cff
  • Support: .github/SUPPORT.md

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• awesome-utrecht-university - LUE - Modelling framework for simulating large geographical systems of agents and fields (Projects / Research software)
• awesome-utrecht-university - LUE - Modelling framework for simulating large geographical systems of agents and fields (Projects / Research software)

README

        
# 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.

- [Homepage](https://lue.computationalgeography.org)

    - [Documentation](https://lue.computationalgeography.org/doc)

    - [Publications](https://lue.computationalgeography.org/publication)

- [R&D team](https://www.computationalgeography.org)

- [![Chat with us on Matrix](https://img.shields.io/badge/chat-on%20Matrix-%230098D4)](https://matrix.to/#/#lue:matrix.org)

  (users)

- [![Chat with us on Matrix](https://img.shields.io/badge/chat-on%20Matrix-%230098D4)](https://matrix.to/#/#lue-dev:matrix.org)

  (developers)

[![Latest release](https://zenodo.org/badge/DOI/10.5281/zenodo.5535685.svg)](https://doi.org/10.5281/zenodo.5535685)

## Source code

[![License](https://img.shields.io/github/license/mashape/apistatus.svg)](https://github.com/computationalgeography/lue/)

[![Codacy Badge](https://app.codacy.com/project/badge/Grade/2c02fc1c5b13424abfc414b82104801d)](https://www.codacy.com/gh/computationalgeography/lue/dashboard?utm_source=github.com&utm_medium=referral&utm_content=computationalgeography/lue&utm_campaign=Badge_Grade)

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)

[![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)

## C/I builds

[![Linux build status](https://github.com/computationalgeography/lue/actions/workflows/linux.yml/badge.svg)](https://github.com/computationalgeography/lue/actions/workflows/linux.yml)

[![macOS build status](https://github.com/computationalgeography/lue/actions/workflows/macos.yml/badge.svg)](https://github.com/computationalgeography/lue/actions/workflows/macos.yml)

[![Windows build status](https://github.com/computationalgeography/lue/actions/workflows/windows.yml/badge.svg)](https://github.com/computationalgeography/lue/actions/workflows/windows.yml)

[![Conda packages build status](https://github.com/computationalgeography/lue/actions/workflows/conda.yml/badge.svg)](https://github.com/computationalgeography/lue/actions/workflows/conda.yml)

## Installation

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lue/badges/version.svg)](https://anaconda.org/conda-forge/lue)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lue/badges/platforms.svg)](https://anaconda.org/conda-forge/lue)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lue/badges/downloads.svg)](https://anaconda.org/conda-forge/lue)

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](https://lue.computationalgeography.org/doc).