NLMpy: a python software package for the creation of neutral landscape models within a general numerical framework. Issue 2 (2nd December 2014)

• Record Type: Journal Article
• Authors: Etherington, Thomas R.; Holland, E. Penelope; O'Sullivan, David; Poisot, Timothée
• Is Part Of: Methods in ecology and evolution. Volume 6:Issue 2(2015:Feb.)
• Page Start: 164
• Page End: 168
• Publication Date: 2014-12-02
• Subjects: Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.12308
• Languages: English
• ISSNs: 2041-210X

Abstract

<abstract abstract-type="main" id="mee312308-abs-0001"> <title>Summary</title> <p> <list id="mee312308-list-0001" list-type="order"> <list-item> <p>Neutral landscape models (NLMs) are widely used to model ecological patterns and processes across landscapes. However, the ability to generate NLMs is often made available through standalone bespoke software packages that have platform limitations.</p> </list-item> <list-item> <p>We have developed a <sc>python</sc> package that brings together some of the more popular NLM algorithms using a general numerical framework.</p> </list-item> <list-item> <p>The resulting NLMpy package: (i) allows for the creation of NLMs directly within a <sc>python</sc> modelling workflow or by other modelling software capable executing a <sc>python</sc> script, (ii) enables the first opportunity to create a NLM that combines different algorithms, (iii) provides easy integration with geographic information system data and (iv) creates a framework for developing other NLMs.</p> </list-item> </list> </p> </abstract>