Environmental Pattern Reconstruction from Sample Data. A Case Study and Some General Conclusions.

Abstract

From a study based on sampling experiments of map pattern reconstruction for the environmental map of the Mississippi Delta region of southeast Louisiana, it is concluded that systematic sampling is the most desired mapping strategy overall. This is true even when the summary characteristics of the underlying pattern are presumed known. In the sampling experiments, systematic sampling was found to be roughly only twice less effective than the optimal sampling arrangement for an equal number data points whereas random sampling was nearly five times less effective. Sampling based on inferred spatial characteristics of the underlying pattern on the average was no more effective than systematic sampling. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1973
Accession Number
AD0769879

Entities

People

  • Richard B. Mccammon

Organizations

  • University of Illinois at Chicago

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Case Studies
  • Collecting Methods
  • Continents
  • Louisiana
  • Mississippi
  • Sampling
  • Statistical Sampling

Readers

  • Computer Vision.
  • Regression Analysis.
  • Riverine Ecology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference