MAPPING A GEOGRAPHICALLY CORRELATED ENVIRONMENT.
Abstract
The assignment of many individuals to species is explored in the case when the data on the individuals are non-independent. The non-independence may arise naturally because of geographic proximity. These notions are extended to qualitative mapping of continuous regions based on discrete data. Some classes of models of non-independent geographic variation are examined to see how they affect the choice of an assignment or mapping rule. Errors in sample-point locations are also discussed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 28, 1969
- Accession Number
- AD0693982
Entities
People
- Paul Switzer
Organizations
- Stanford University