AI Medical Compendium Journal:
Ecology

Showing 1 to 3 of 3 articles

Deep learning with citizen science data enables estimation of species diversity and composition at continental extents.

Ecology
Effective solutions to conserve biodiversity require accurate community- and species-level information at relevant, actionable scales and across entire species' distributions. However, data and methodological constraints have limited our ability to p...

Using machine learning to model nontraditional spatial dependence in occupancy data.

Ecology
Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Traditionally researchers have accounted for spatial autocorrelation in ...

A classification-occupancy model based on automatically identified species data.

Ecology
Occupancy models estimate a species' occupancy probability while accounting for imperfect detection, but often overlook the issue of false-positive detections. This problem of false positives has gained attention recently with the rapid advancement o...