OMB Individually Reported
Species Distribution Data analysis
Low riskExact public inventory row
Description
Machine learning models built for predicting and understanding species distributions and ranges for thousands of different species.
Detailed example
Predictions of species distributions
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Providing information on where species are distributed improves decision-making for ecosystem management
Controls / human review
ATO: No; PIA: Not published
Data needed
All species distribution and range datasets are tabular and publicly available.