optimTFE
May 2, 2025
**OptimTFE** is a spatial decision-support tool designed to help conservation practitioners identify priority recovery areas for
species/taxonomic groups based on known location data, habitat suitability values, and other relevant data inputs. The optimTFE tool was
developed to improve transparency, flexibility, and expert engagement throughout the spatial conservation prioritization process. optimTFE can be used for any dataset that includes suitability values for each species and a target number of priority recovery areas for each.
This tool was designed for spatial visualization, but the optimization algorithm does not require spatial data. This tool is based on the spatial conservation prioritization tool, Marxan, and our terminology is largely adopted from it (Ball et al., 2009).
This package includes two data visualization tools using RShiny to allow for visualizing tradeoffs across metrics when evaluating solutions generated using the optimTFE algorithm.
species/taxonomic groups based on known location data, habitat suitability values, and other relevant data inputs. The optimTFE tool was
developed to improve transparency, flexibility, and expert engagement throughout the spatial conservation prioritization process. optimTFE can be used for any dataset that includes suitability values for each species and a target number of priority recovery areas for each.
This tool was designed for spatial visualization, but the optimization algorithm does not require spatial data. This tool is based on the spatial conservation prioritization tool, Marxan, and our terminology is largely adopted from it (Ball et al., 2009).
This package includes two data visualization tools using RShiny to allow for visualizing tradeoffs across metrics when evaluating solutions generated using the optimTFE algorithm.
Citation Information
Publication Year | 2025 |
---|---|
Title | optimTFE |
DOI | 10.5066/P137H9PF |
Authors | Christina Leopold, Lucas Fortini, Devin Leopold |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Pacific Island Ecosystems Research Center |
Rights | This work is marked with CC0 1.0 Universal |