OMB Individually Reported
Spread and Balance Sample Design
Low riskExact public inventory row
Description
The purpose of this tool is to produce samples that are well spread and balanced, reducing sampling cost and error.
Detailed example
Sample locations, distance measures, and graphics
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 better information about our natural resources for less spend
Controls / human review
ATO: No; PIA: Not published
Data needed
No data was required for training, fine-tuning, or evaluating this use case.