4.6 Article

Python based GIS tools for landscape genetics: visualising genetic relatedness and measuring landscape connectivity

Journal

METHODS IN ECOLOGY AND EVOLUTION
Volume 2, Issue 1, Pages 52-55

Publisher

WILEY-BLACKWELL
DOI: 10.1111/j.2041-210X.2010.00048.x

Keywords

ArcGIS; geographic information system; least-cost modelling; Python

Categories

Funding

  1. Food and Environment Research Agency, an executive agency of the Department for Environment Food and Rural Affairs

Ask authors/readers for more resources

1. Landscape genetics is an area of research that can help to understand many spatial ecological processes, but requires significant interdisciplinary collaboration. Use of geographic information system (GIS) software is essential, but requires a degree of customisation that is often beyond the non-specialist. 2. To help address this, a series of Python script based GIS tools have been developed for use in landscape genetics studies. 3. The scripts convert files, visualise genetic relatedness, and measure landscape connectivity using least-cost path analysis. The scripts are housed in an ArcToolbox that is freely available along with the underlying Python code. 4. The Python scripts allow researchers to use more current software, provide the option of further development by the user community, and reduce the amount of time that would be spent developing common solutions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available