geoextent

Python library for extrating geospatial extent of files and directories with multiple data formats

https://github.com/o2r-project/geoextent

Science Score: 77.0%

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
2 of 6 committers (33.3%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (14.8%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Python library for extrating geospatial extent of files and directories with multiple data formats

Basic Info

Host: GitHub
Owner: o2r-project
License: mit
Language: Jupyter Notebook
Default Branch: master
Homepage: https://o2r.info/geoextent/
Size: 17 MB

Statistics

Stars: 2
Watchers: 3
Forks: 5
Open Issues: 56
Releases: 4

Created over 6 years ago · Last pushed about 2 years ago

Metadata Files

Readme Contributing License Citation Authors Codemeta

geoextent

Python library for extracting geospatial extent of files and directories with multiple data formats. Read a notebook-based article about the library published at EarthCube 2021.

This project is developed as part of the DFG-funded research project Opening Reproducible Research (o2r, https://o2r.info).

Installation

System requirements

Python: 3.x

The package relies on common system libraries for reading geospatial datasets, such as GDAL and NetCDF. On Debian systems, the UbuntuGIS project offers easy installation of up to date versions of those libraries.

See the packages list in travis.yml for a full list of dependencies on Linux.

Install from PyPI

You must install a suitable version of pygdal manually first, see instructions and this related SO thread with different helpful answers. We use pygdal for better compatibility with virtual environments.

bash pip install pygdal=="`gdal-config --version`.*" pip install geoextent

Source installation

```bash git clone https://github.com/o2r-project/geoextent cd geoextent pip install -r requirements.txt

pip install -e . ```

Use

Run

bash geoextent --help

to see usage instructions.

Showcases

To run the showcase notebooks, install JupyterLab or the classic Jupyter Notebook and then start a local server as shown below. If your IDE has support for the Jupyter format, installing ipykernel might be enough. We recommend running the below commands in a virtual environment as described here. The notebook must be trusted and python-markdown extension must be installed so that variables within Markdown text can be shown.

```bash cd showcase pip install -r requirements.txt pip install -r showcase/requirements.txt pip install -e .

jupyter trust showcase/SG01ExploringResearchDataRepositorieswith_geoextent.ipynb jupyter lab ```

Then open the local Jupyter Notebook server using the displayed link and open the notebook (*.ipynb files) in the showcase/ directory. Consult the documentation on paired notebooks based on Jupytext before editing selected notebooks.

Supported data formats

GeoJSON (.geojson)
Tabular data (.csv)
Shapefile (.shp)
GeoTIFF (.geotiff, .tif)

Contribute

All help is welcome: asking questions, providing documentation, testing, or even development.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

See CONTRIBUTING.md for details.

How to cite

Nüst, Daniel; Garzón, Sebastian and Qamaz, Yousef. (2021, May 14). o2r-project/geoextent (Version v0.7.1). Zenodo. https://zenodo.org/record/4762205

See also the CITATION.cff and codemeta.json files in this repository, which can possibly be imported in the reference manager of your choice.

License

geoextent is licensed under MIT license, see file LICENSE.

Owner

Name: Opening Reproducible Research
Login: o2r-project
Kind: organization
Email: daniel.nuest@uni-muenster.de
Location: Münster

Website: http://o2r.info
Repositories: 52
Profile: https://github.com/o2r-project

Citation (CITATION.cff)

cff-version: 1.1.0
message: If you use this software, please cite it as below.
authors:
  - family-names: Nüst
    given-names: Daniel
    orcid: https://orcid.org/0000-0002-0024-5046
    affiliation: Opening Reproducible Research, University of Münster, Münster, Germany
    email: daniel.nuest@uni-muenster.de
    website: https://nuest.staff.ifgi.de/
  - family-names: Garzón
    given-names: Sebastian
    orcid: https://orcid.org/0000-0002-8335-9312
    affiliation: Opening Reproducible Research, University of Münster, Münster, Germany
    email: jgarzon@uni-muenster.de

  - family-names: Qamaz
    given-names: Yousef
title: "geoextent"
version: 0.7.1
doi: 10.5281/zenodo.3925693
date-released: 2020-05-11
license: MIT
url: https://o2r.info/geoextent/
commit: 7edce80ba937796ea6563d2e7ab6d800ec48bc7c
abstract: "Python library for extracting geospatial extent of files and directories with multiple data formats. This project is developed as part of the DFG-funded research project Opening Reproducible Research (o2r, https://o2r.info)."
repository-artifact: https://pypi.org/project/geoextent/0.3.0/
repository-code: https://github.com/o2r-project/geoextent/releases/tag/v0.3.0
identifiers:
  - type: "swh"
    value: "swh:1:rev:7edce80ba937796ea6563d2e7ab6d800ec48bc7c"

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "license": "https://spdx.org/licenses/MIT",
  "codeRepository": "git+https://github.com/o2r-project/geoextent.git",
  "contIntegration": "https://travis-ci.org/github/o2r-project/geoextent",
  "dateCreated": "2019-08-16",
  "datePublished": "2020-03-25",
  "dateModified": "2020-05-11",
  "downloadUrl": "https://pypi.org/project/geoextent/0.7.1/",
  "issueTracker": "https://github.com/o2r-project/geoextent/issues",
  "name": "geoextent",
  "version": "0.7.1",
  "identifier": "https://doi.org/10.5281/zenodo.3925693",
  "description": "Python library for extracting geospatial extent of files and directories with multiple data formats. This project is developed as part of the DFG-funded research project Opening Reproducible Research (o2r, https://o2r.info).",
  "applicationCategory": "Geoinformatics",
  "funding": "PE 1632/17-1",
  "developmentStatus": "active",
  "isPartOf": "https://o2r.info/",
  "funder": {
    "@type": "Organization",
    "name": "DFG"
  },
  "keywords": [
    "spatial data",
    "metadata",
    "discovery"
  ],
  "programmingLanguage": [
    "Python 3"
  ],
  "operatingSystem": [
    "OS independent"
  ],
  "relatedLink": [
    "https://o2r.info/geoextent/"
  ],
  "author": [
    {
      "@type": "Person",
      "@id": "https://orcid.org/0000-0002-0024-5046",
      "givenName": "Daniel",
      "familyName": "Nst",
      "email": "daniel.nuest@uni-muenster.de",
      "affiliation": {
        "@type": "Organization",
        "name": "Opening Reproducible Research, University of Mnster, Mnster, Germany"
      }
    },
    {
      "@type": "Person",
      "@id": "https://orcid.org/0000-0002-8335-9312",
      "givenName": "Sebastian",
      "familyName": "Garzn",
      "email": "jgarzon@uni-muenster.de",
      "affiliation": {
        "@type": "Organization",
        "name": "Opening Reproducible Research, University of Mnster, Mnster, Germany"
      }
    },
    {
      "@type": "Person",
      "givenName": "Yousef",
      "familyName": "Qamaz",
      "affiliation": {
        "@type": "Organization",
        "name": "Opening Reproducible Research, University of Mnster, Mnster, Germany"
      }
    }
  ]
}

GitHub Events

Total

Issues event: 2
Fork event: 1

Last Year

Issues event: 2
Fork event: 1

Committers

Last synced: almost 3 years ago

All Time

Total Commits: 417
Total Committers: 6
Avg Commits per committer: 69.5
Development Distribution Score (DDS): 0.592

Top Committers

Name	Email	Commits
YouQam	q**f@g**m	170
sbastiangarzon	j**8@u**o	132
Daniel Nüst	d**t@u**e	84
Yousef	y**f@g**e	15
Yousef Qamaz	4**m@u**m	11
Daniel Nüst	d**t@w**e	5

Committer Domains (Top 20 + Academic)

wwu.de: 1 gmx.de: 1 uni-muenster.de: 1 uniandes.edu.co: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 87
Total pull requests: 21
Average time to close issues: 5 months
Average time to close pull requests: 11 days
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 0.85
Average comments per pull request: 0.43
Merged pull requests: 17
Bot issues: 0
Bot pull requests: 2

Past Year

Issues: 4
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

nuest (70)
SbastianGarzon (12)
YouQam (5)

Pull Request Authors

SbastianGarzon (14)
nuest (6)
dependabot[bot] (2)

Top Labels

Issue Labels

enhancement (44) documentation (8) raster (7) vector (7) bug (5) question (2) good first issue (2) help wanted (1)

Pull Request Labels

dependencies (2) documentation (1)

Packages

Total packages: 1
Total downloads:
- pypi 14 last-month

Total dependent packages: 0
Total dependent repositories: 1
Total versions: 5
Total maintainers: 3

pypi.org: geoextent

A package to extract geospatial extent from files and directories

Homepage: https://github.com/o2r-project/geoextent
Documentation: https://geoextent.readthedocs.io/
License: MIT
Latest release: 0.7.1
published almost 5 years ago

Versions: 5
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 14 Last month

Rankings

Dependent packages count: 10.1%

Forks count: 15.4%

Dependent repos count: 21.6%

Average: 21.9%

Downloads: 30.3%

Stargazers count: 31.9%

Maintainers (3)

eftyk nuest sbastiangarzon

Last synced: 6 months ago

Dependencies

docs/requirements-docs.txt pypi

jupyter_sphinx *
sphinx-issues *
sphinxcontrib.autoprogram *

requirements-dev.txt pypi

pytest >=5 development
pytest-console-scripts * development
wheel * development

requirements.txt pypi

geojson >=2.4.1
numpy *
pandas *
pygeoj *
pyproj *
pyshp *
python-dateutil *
requests *
traitlets *

setup.py pypi

geojson >=2.4.1
numpy *
pandas *
pygdal *
pygeoj *
pyproj *
pyshp *
python-dateutil *
requests *
traitlets *
wheel *

showcase/requirements.txt pypi

bash_kernel *
folium ==0.11.0
geopandas ==0.8.1
jupyterlab *
matplotlib ==3.3.2
numpy ==1.19.5
pandas ==1.1.2
requests ==2.24.0
shapely ==1.7.1

.github/workflows/codeql-analysis.yml actions

actions/checkout v2 composite
github/codeql-action/analyze v1 composite
github/codeql-action/autobuild v1 composite
github/codeql-action/init v1 composite

.github/workflows/documentation.yml actions

JamesIves/github-pages-deploy-action 4.1.3 composite
actions/checkout v2 composite
actions/setup-python v1 composite

.github/workflows/pythonpackage.yml actions

actions/checkout v1 composite
actions/setup-python v1 composite

Dockerfile docker

ubuntu 20.04 build

geoextent

Science Score: 77.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

geoextent

Installation

System requirements

Install from PyPI

Source installation

Use

Showcases

Supported data formats

Contribute

How to cite

License

Owner

Citation (CITATION.cff)

CodeMeta (codemeta.json)

GitHub Events

Total

Last Year

Committers

All Time

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: geoextent

Rankings

Maintainers (3)

Dependencies