Area Estimation by Point-Counting Techniques

Abstract

Systematic sampling, the classical approach to the estimation of areas by point-counting techniques, is compared to stratified random sampling and to systematic sampling with multiple random starts. Under an assumed model, we find that stratified sampling is usually more efficient than systematic sampling which, in turn, is more efficient than the multiple-random-starts method