pyveg

pyveg: A Python package for analysing the time evolution of patterned vegetation using Google Earth Engine - Published in JOSS (2020)

https://github.com/alan-turing-institute/monitoring-ecosystem-resilience

Science Score: 98.0%

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
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Committers with academic emails
    3 of 7 committers (42.9%) from academic institutions
  • Institutional organization owner
    Organization alan-turing-institute has institutional domain (turing.ac.uk)
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

hut23 hut23-240

Scientific Fields

Political Science Social Sciences - 90% confidence
Mathematics Computer Science - 88% confidence
Sociology Social Sciences - 87% confidence
Last synced: 4 months ago · JSON representation

Repository

Repository for mini-projects in the Data science for Sustainable development project

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 65.4 MB
Statistics
  • Stars: 23
  • Watchers: 7
  • Forks: 5
  • Open Issues: 9
  • Releases: 2
Archived
Topics
hut23 hut23-240
Created over 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License

README.md

Build status

Binder

Documentation Status

monitoring-ecosystem-resilience

Repository for mini-projects in the Data science for Sustainable development project.

Currently the focus of code in this repository is understanding vegetation patterns in semi-arid environments.

The code in this repository is intended to perform three inter-related tasks: * Download and process satellite imagery from Google Earth Engine. * Generate simulated vegetation patterns. * Calculate graph metrics to quantify the interconnectedness of vegetation in real and simulated images.

Python

The tasks above are all implemented in Python in the pyveg package. See the README.md in the pyveg subdirectory for details on installation and usage.

R

The pattern-generation and graph-modelling are implemented in R in the rveg package. See the README.md in the rveg directory for further details.

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

JOSS Publication

pyveg: A Python package for analysing the time evolution of patterned vegetation using Google Earth Engine
Published
November 20, 2020
Volume 5, Issue 55, Page 2483
Authors
Nick Barlow
The Alan Turing Institute
Camila Rangel Smith
The Alan Turing Institute
Samuel Van Stroud
The Alan Turing Institute, University College London
Jesse F. Abrams
University of Exeter
Chris A. Boulton
University of Exeter
Joshua Buxton
University of Exeter
Editor
Bruce E. Wilson ORCID
Tags
Ecology Remote sensing Time Series Analysis Early warnings

GitHub Events

Total
  • Issues event: 2
  • Watch event: 1
  • Issue comment event: 1
Last Year
  • Issues event: 2
  • Watch event: 1
  • Issue comment event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 1,271
  • Total Committers: 7
  • Avg Commits per committer: 181.571
  • Development Distribution Score (DDS): 0.603
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
nbarlowATI n****w@t****k 504
Sam Van Stroud s****d@t****k 429
crangelsmith c****h@g****m 243
jbuxt 6****t 55
Chris Boulton c****n@e****k 26
jabrams23 j****3@g****m 13
Bruce Wilson u****a@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 277
  • Total pull requests: 220
  • Average time to close issues: 7 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 10
  • Total pull request authors: 9
  • Average comments per issue: 0.73
  • Average comments per pull request: 0.37
  • Merged pull requests: 204
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: less than a minute
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • crangelsmith (111)
  • nbarlowATI (97)
  • samvanstroud (47)
  • jbuxt (5)
  • andrewphilipsmith (5)
  • arbennett (5)
  • caboulton (3)
  • jabrams23 (2)
  • usethedata (1)
  • Ste-lla02 (1)
Pull Request Authors
  • nbarlowATI (94)
  • samvanstroud (58)
  • crangelsmith (46)
  • jbuxt (13)
  • andrewphilipsmith (3)
  • caboulton (2)
  • dependabot[bot] (2)
  • usethedata (1)
  • jabrams23 (1)
Top Labels
Issue Labels
bug (26) enhancement (20) idea (13) documentation (4) duplicate (1)
Pull Request Labels
dependencies (2)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
proxy.golang.org: github.com/alan-turing-institute/monitoring-ecosystem-resilience
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 7.0%
Average: 8.2%
Dependent repos count: 9.3%
Last synced: 4 months ago

Dependencies

rveg/DESCRIPTION cran
  • ggplot2 * imports
  • igraph * imports
  • jsonlite * imports
  • png * imports
  • testthat * suggests
binder/requirements.txt pypi
  • argparse *
  • dateparser *
  • datetime *
  • earthengine-api ==0.1.210
  • geetools *
  • geopandas *
  • imageio *
  • matplotlib *
  • numpy *
  • opencv-python *
  • pillow *
  • pytest *
  • python-igraph *
  • requests *
  • scipy *
pyveg/requirements.txt pypi
  • argparse *
  • arrow *
  • azure-batch ==6.0.0
  • azure-storage-blob ==1.5.0
  • azure-storage-common ==1.4.2
  • dateparser *
  • datetime *
  • earthengine-api ==0.1.222
  • ewstools *
  • geetools *
  • geopandas *
  • imageio *
  • matplotlib ==3.1
  • mdutils *
  • numpy *
  • opencv-python *
  • pandas ==1.1.1
  • pandoc *
  • pillow *
  • pypandoc *
  • pytest *
  • python-igraph *
  • requests *
  • scipy *
  • seaborn *
  • sphinx_rtd_theme *
  • statsmodels ==0.11.1
setup.py pypi