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laserfarm

Laserchicken Framework for Applications in Research in Macro-ecology

https://github.com/eecolidar/laserfarm

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 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.6%) to scientific vocabulary

Keywords from Contributors

likelihood-free-inference marginal-neural-ratio-estimation neural-ratio-estimation parameter-estimation simulation-based-inference truncated-neural-ratio-estimation
Last synced: 6 months ago · JSON representation ·

Repository

Laserchicken Framework for Applications in Research in Macro-ecology

Basic Info
  • Host: GitHub
  • Owner: eEcoLiDAR
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 6.8 MB
Statistics
  • Stars: 9
  • Watchers: 2
  • Forks: 5
  • Open Issues: 4
  • Releases: 7
Created about 6 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Zenodo

README.md

Laserfarm

Actions Status codecov Documentation Status DOI PyPI CII Best Practices

Laserfarm (Laserchicken Framework for Applications in Research in Macro-ecology) provides a FOSS wrapper to Laserchicken supporting the use of massive LiDAR point cloud data sets for macro-ecology, from data preparation to scheduling and execution of distributed processing across a cluster of compute nodes.

Installation

Laserfarm requires the PDAL and GDAL libraries and the PDAL Python bindings. These packages are most easily installed through conda from the conda-forge channel: shell conda install pdal python-pdal gdal -c conda-forge Laserfarm can then be downloaded and installed using pip: shell pip install laserfarm or using git + pip: shell git clone git@github.com:eEcoLiDAR/Laserfarm.git cd Laserfarm pip install . In order to setup a new conda environment with Laserfarm and all its dependencies, the YAML file provided can be employed: shell conda env create -f environment.yml

Documentation

The project's full documentation can be found here.

Applications and Current Limitations

This package has been tested on data provided in a metric-based 2D-projected Cartesian coordinate system, i.e. the Actueel Hoogtebestand Nederland. While some of the tools of Laserfarm could be applied to data in an ellipsoidal latitude/longitude coordinate system as well, this has not been tested and it is generally expected to fail.

Contributing

If you want to contribute to the development of Laserfarm, have a look at the contribution guidelines.

License

Copyright (c) 2022, Netherlands eScience Center

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner

  • Name: eEcoLiDAR
  • Login: eEcoLiDAR
  • Kind: organization

Citation (CITATION.cff) 

# YAML 1.2
---
abstract: "Laserfarm provides a FOSS wrapper to Laserchicken, supporting the use of massive LiDAR point cloud data sets for macro-ecology, from data preparation to scheduling and execution of distributed processing across a cluster of compute nodes."
authors:
  -
    affiliation: "Netherlands eScience Center"
    family-names: Grootes
    given-names: "Meiert W."
  -
    affiliation: "Netherlands eScience Center"
    family-names: Ku
    given-names: Ou
  -
    affiliation: "Netherlands eScience Center"
    family-names: Nattino
    given-names: Francesco
  -
    affiliation: "Netherlands eScience Center"
    family-names: Bogaardt
    given-names: Laurens
  -
    affiliation: "Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam"
    family-names: Koma
    given-names: Zsófia
cff-version: "1.0.3"
date-released: 2022-09-13
doi: "10.5281/zenodo.3842780"
keywords:
  - "airborne laser scanning"
  - "point cloud"
  - "distributed computing"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
title: "Laserfarm: Laserchicken Framework for Applications in Research in Macro-ecology"
version: "0.2.0"
...

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 287
  • Total Committers: 7
  • Avg Commits per committer: 41.0
  • Development Distribution Score (DDS): 0.23
Top Committers
Name Email Commits
Francesco Nattino f****o@e****l 221
rogerkuou r****u@g****m 31
Meiert Grootes m****s@e****l 21
Ou Ku 3****u@u****m 6
ouku o****u@e****l 5
Francesco Nattino 4****o@u****m 2
Meiert Willem Grootes 4****s@u****m 1
Committer Domains (Top 20 + Academic)
esciencecenter.nl: 2 esciececenter.nl: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 18
  • Total pull requests: 43
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 5
  • Total pull request authors: 4
  • Average comments per issue: 0.44
  • Average comments per pull request: 0.7
  • Merged pull requests: 35
  • 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
View more stats
Top Authors
Issue Authors
  • fnattino (11)
  • meiertgrootes (3)
  • egpbos (2)
  • chippey (1)
  • claytharrison (1)
Pull Request Authors
  • fnattino (29)
  • rogerkuou (5)
  • skoulouzis (5)
  • meiertgrootes (4)
Top Labels
Issue Labels
bug (1)
Pull Request Labels
enhancement (1) help wanted (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 56 last-month
  • Total docker downloads: 15,458
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 7
  • Total maintainers: 2
pypi.org: laserfarm

Laserchicken Framework for Applications in Research in Macro-ecology

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 56 Last month
  • Docker Downloads: 15,458
Rankings
Docker downloads count: 1.4%
Dependent packages count: 10.1%
Forks count: 14.2%
Average: 15.6%
Stargazers count: 20.3%
Dependent repos count: 21.6%
Downloads: 26.1%
Maintainers (2)
nlesc fnattino
Last synced: 7 months ago

Dependencies

docs/requirements.txt pypi
  • m2r2 *
  • sphinx *
requirements.txt pypi
  • PyShp *
  • asyncssh *
  • dask *
  • fire *
  • laserchicken >=0.4.1
  • laspy *
  • numpy *
  • plyfile *
  • pytest *
  • shapely *
  • webdavclient3 *
.github/workflows/docker-image.yml actions
  • actions/checkout v2 composite
  • docker/build-push-action v2 composite
  • docker/login-action v1 composite
.github/workflows/pypi.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/test.yaml actions
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • s-weigand/setup-conda v1 composite
Dockerfile docker
  • continuumio/miniconda3 latest build
  • debian buster build
environment.yml pypi
setup.py pypi