Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Ecological pattern analysis in Python

Project description

Macroeco is a Python package that provides a comprehensive set of functions for analyzing empirical patterns in ecological data, predicting patterns from theory, and comparing empirical results to theory. Many major macroecological patterns can be analyzed using this package, including the species abundance distribution, the species and endemics area relationships, several measures of beta diversity, and many others.

Extensive documentation for macroeco, including detailed installation instructions, tutorials, and a reference guide, is available at http://macroeco.org. The most recent stable version of the macroeco package can be installed from PyPI (pip install macroeco). For users who do not program in Python, a standalone application called Macroeco Desktop, which provides most of the functionality of macroeco through a simple interface that requires no programming, is also available. To download this standalone application, click on the releases tab at the top of the repository home page (or this link) and download the file MacroecoDesktop_Mac_Standalone.zip from the most current version.

The current version of macroeco is developed and maintained by Justin Kitzes (UC Berkeley) and Mark Wilber (UC Santa Barbara). Other contributors include Chloe Lewis and Ethan White. The development of macroeco has been supported by the National Science Foundation, the Gordon and Betty Moore Foundation, and the Berkeley Institute for Data Science.

Project details


Release history Release notifications

This version
History Node

1.0.1

History Node

1.0

History Node

0.3

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
macroeco-1.0.1-py2.7.egg (167.5 kB) Copy SHA256 hash SHA256 Egg 2.7 Oct 7, 2015
macroeco-1.0.1.tar.gz (66.8 kB) Copy SHA256 hash SHA256 Source None Oct 7, 2015

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page