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Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/
This repository houses scripts to accompany Crawford et al. 2021 (Ecological Applications), in which we apply a range of biodiversity indices to an agricultural land-use prioritization model, using Zambia as a case study to investigate how variation in how biodiversity is represented affects the results of land-use prioritization analyses.
This repository contains a GIS-based decision support tool and related resources. The tool was developed in ArcGIS Pro and is designed to model Open Space Preservation opportunities to be implemented in FEMA's Community Rating System.