SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records

Xiaoquan Kong, Minyi Huang and Renyan Duan

PLOS ONE, 2015, vol. 10, issue 6, 1-7

Abstract: It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. Here, we use Python to develop a web-based software tool (SDMdata) to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open source software (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code. SDMdata is available online free of charge from .

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0128295

DOI: 10.1371/journal.pone.0128295

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