Develop packages that enable seamless Species Distribution Model (SDM) creation for people with zero programming experience with openly-available taxonomic occurrence data pulled from OBIS, GBIF, and other DwC-compliant, FAIR databases.
Expected Outcomes:
The output from this project will be an R or Python package (or a combination of these programming languages) enabling users to run SDM’s with for multiple taxonomic groups and species using records available on open-access databases (OBIS, GBIF, EcoTaxa, others).
Skills required:
Python, Jupyter Notebooks, Species Distribution Modeling Frameworks, data schema (ideally Darwin Core)
Mentor(s):
Tylar Murray (@7yl4r), Enrique Montes (@eqmh), Mat Biddle (@MathewBiddle), Ayush Anand (@ayushanand18)
Project Description:
Develop packages that enable seamless Species Distribution Model (SDM) creation for people with zero programming experience with openly-available taxonomic occurrence data pulled from OBIS, GBIF, and other DwC-compliant, FAIR databases.
Expected Outcomes:
The output from this project will be an R or Python package (or a combination of these programming languages) enabling users to run SDM’s with for multiple taxonomic groups and species using records available on open-access databases (OBIS, GBIF, EcoTaxa, others).
Skills required:
Python, Jupyter Notebooks, Species Distribution Modeling Frameworks, data schema (ideally Darwin Core)
Mentor(s):
Tylar Murray (@7yl4r), Enrique Montes (@eqmh), Mat Biddle (@MathewBiddle), Ayush Anand (@ayushanand18)
Expected Project Size (175 or 350 hours):
350 hours
Difficulty:
Medium