redlist - Interface to the IUCN Red List Data with Risk Metrics
Access species conservation data from the International Union for Conservation of Nature (IUCN) Red List API <https://api.iucnredlist.org/api-docs/index.html>, including assessments, taxonomy, threats, habitats and historical status. The package also reconciles taxonomic names between the IUCN Red List and the Global Biodiversity Information Facility (GBIF), retrieves and checks GBIF occurrence records, and computes the range and population metrics of the IUCN Red List Categories and Criteria (IUCN Standards and Petitions Committee, 2024, <https://cmsdocs.s3.amazonaws.com/RedListGuidelines.pdf>): extent of occurrence and area of occupancy for criterion B, and population reduction for criterion A.
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bioinformaticsconservationecologyiucn-red-listiucn-red-list-in-rredlistredlist-r-package
5.86 score 3 stars 12 scripts 386 downloads
ct - Camera Trap Data Management and Multi-Method Ecological Analysis
Tools for the complete camera trap data workflow in wildlife monitoring and ecological research. Reads and edits media metadata, filters independent detections, and standardises records for analysis. Measures diel activity and overlap (Ridout and Linkie (2009) <doi:10.1198/jabes.2009.08038>), directed short-term association between species with an encounter-response model (Hawkes (1971) <doi:10.1093/biomet/58.1.83>), seasonal shifts in activity, spatial coverage of detections, and species diversity. Estimates density or abundance of unmarked populations with several methods, including the random encounter model, camera trap distance sampling, time-to-event, space-to-event, instantaneous sampling, and the random encounter and staying-time model (see Rowcliffe et al. (2008) <doi:10.1111/j.1365-2664.2008.01473.x>, Howe et al. (2017) <doi:10.1111/2041-210X.12790>, Moeller et al. (2018) <doi:10.1002/ecs2.2331>, and Nakashima et al. (2018) <doi:10.1111/1365-2664.13059>).
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camera-trapcamera-trap-data-packagecamera-trapsctct-r-packagedensity-estimationdistance-samplingecological-modellingecologyrandom-encounter-modelwildlife-monitoringcpp
5.10 score 4 stars 52 scripts 364 downloads