SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species
Jason L Brown1, Joseph R Bennett1, Connor M French1
1Department of Zoology, Cooperative Wildlife Research Laboratory, Southern Illinois University at Carbondale, Carbondale, IL, USA.
SDMtoolbox 2.0 offers automated spatial analysis for ecology, evolution, and genetics. This software package streamlines complex tasks, improving species distribution models and macroecological research.
Area of Science:
- Ecology, evolution, and genetics
- Spatial analysis and Geographic Information Systems (GIS)
Background:
- Spatial analysis in ecology, evolution, and genetics often involves complex and time-consuming tasks.
- Existing software may require extensive development for common solutions, limiting researcher efficiency.
Purpose of the Study:
- To introduce SDMtoolbox 2.0, a software package designed to automate spatial analyses.
- To provide researchers with tools for efficient species distribution modeling (SDMs) and other spatial studies.
- To enhance the use of current ArcGIS and MaxEnt software versions.
Main Methods:
- Development of a software package with 79 scripts utilizing ArcGIS.
- Automation of spatial analyses through an intuitive graphical user interface.
- Direct interface with MaxEnt for species distribution modeling, with universal tools for other software.
Main Results:
- SDMtoolbox 2.0 automates complex spatial analyses, reducing development time.
- The software facilitates careful parameterization of SDMs to improve discriminatory ability and minimize overfitting.
- Tools are provided for biodiversity quantification, landscape genetics, and evolutionary studies, including least-cost path generation and dispersal limitation enforcement.
Conclusions:
- SDMtoolbox 2.0 significantly enhances spatial analysis capabilities for researchers in ecology, evolution, and genetics.
- The software's automation and integration with existing tools improve efficiency and model accuracy.
- It offers broadly applicable GIS data processing tools for any ArcMap user.
More Related Videos
09:44Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
06:26Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
Related Concept Videos
GIS Software, Hardware, and Sources of GIS Data
Levels of Use of a GIS
Manipulation and Analysis
Applications of GIS: Disaster Management and Emergency Response
Introduction to GIS
Genetics of Speciation
