Spatial sampling methods modified by model use

• Authors: Tomasz Bąk

Abstracts

EN

Recent years have seen an intensive development in the field of spatial sampling methods, which generally focus on a balanced distribution of the sample in space. Adaptive sampling methods constitute another dynamic direction in the sampling theory. The issue raised in this article involves the combination of these directions. Five of the commonly known spatial sampling methods have been analysed. The experiment was designed to include statistical model in the sampling procedure. As in the case of adaptive methods, it serves to modify drawing probabilities during sampling. The necessary theory of this sampling modification has been developed and presented. An experiment using artificial data was conducted in order to analyse the efficiency of the model modification in comparison with the primary methods.

Keywords

EN

spatial sampling; drawn-by-drawn sampling; kriging; employees distribution

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2021
• Volume: 22
• Issue: 2
• Pages: 143-154

Contributors

author

Tomasz Bąk

• Department of Statistics, Econometrics, and Mathematics Faculty of Management University of Economics in Katowice, Poland

• https://orcid.org/0000000268510192

Identifiers

DOI

10.21307/stattrans-2021-020

Biblioteka Nauki

1054565