Skip to main content

Standard Analytical Reporting Framework for Conservation

Project description

https://ecoscope.io/en/latest/_static/logo.svg

PyPI Tests Codecov Docs Notebooks

Ecoscope

Ecoscope is an open-source analysis module for tracking, environmental and conservation data analyses. It provides methods and approaches for: Data I/O (EarthRanger, Google Earth Engine, Landscape Dynamics, MoveBank, Geopandas), Movement Data (Relocations, Trajectories, Home-Ranges, EcoGraph, Recurse, Geofencing, Immobility, Moving Windows, Resampling, Filtering), Visualization (EcoMap, EcoPlot), Environmental analyses (Seasons determination, Remote sensing anomalies), Covariate labeling (Day/Night, Seasonal, GEE Image Collections/Images).

Development & Testing

Development dependencies are included in environment.yml. You will also need to configure the selenium driver following these instructions (note that this is not needed if running ecoscope within Google Colab as selenium is already configured): https://www.selenium.dev/documentation/webdriver/getting_started/install_drivers/

Please configure code-quality git hooks with:

>>> pre-commit install

Acknowledgments

We thank the many individuals and organizations who have contributed to the development of Ecoscope: Jake Wall, Peter Kulits, Zakaria Hussein, Catherine Villeneuve, Jes Lefcourt, Chris Jones, George Wittemyer, Mara Elephant Project, Allen Institute for Artificial Intelligence, Google Earth Outreach, Save the Elephants, Elephants Alive, Berkeley Data Science Society.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ecoscope-1.7.3.tar.gz (96.4 kB view details)

Uploaded Source

Built Distribution

ecoscope-1.7.3-py3-none-any.whl (91.2 kB view details)

Uploaded Python 3

File details

Details for the file ecoscope-1.7.3.tar.gz.

File metadata

  • Download URL: ecoscope-1.7.3.tar.gz
  • Upload date:
  • Size: 96.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for ecoscope-1.7.3.tar.gz
Algorithm Hash digest
SHA256 a34e783fbee142c67d59e83b34faa12d0390b81cfcd5a059ee8620a5d7481c59
MD5 6b74956c0cf6f0a8a21e903eff65abff
BLAKE2b-256 3208fdc0d0c22f0ca896c837a9fcc90a34fa019789bcfa1ce17c1172cb38cfb6

See more details on using hashes here.

File details

Details for the file ecoscope-1.7.3-py3-none-any.whl.

File metadata

  • Download URL: ecoscope-1.7.3-py3-none-any.whl
  • Upload date:
  • Size: 91.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for ecoscope-1.7.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b826f8a0bd5d94d88cc88cee0937447235aa2e31c746bb72cd1edfabeec9eade
MD5 1b494a05f80c35df65516007d4aa6979
BLAKE2b-256 5e7568fc55db2107e26b227ebd42634ac9b324d815d18f83aef45e002eb77443

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page