PLoS ONE (Jan 2015)

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

  • Xiaoquan Kong,
  • Minyi Huang,
  • Renyan Duan

DOI
https://doi.org/10.1371/journal.pone.0128295
Journal volume & issue
Vol. 10, no. 6
p. e0128295

Abstract

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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 .