SDMdata

Introduce

It is important to obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs) easily and efficiently. 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 collect occurrence data easily from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open software source (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code.

Website

We have already setup SDMdata as a public service for everyone.

URL: <http://sdmdata.sdmserialsoftware.org>

Source

SDMdata source is located on <https://github.com/howl-anderson/SDMdata>

Tutorial

<https://github.com/howl-anderson/doc_for_sdmdata_online/blob/master/tutorial.md>