Triangular Method of Spatial Sampling

Tomasz Bąk ()

Statistics in Transition new series, 2014, vol. 15, issue 1, 9-22

Abstract: In this paper a new adaptive method of spatial sampling - a triangular method of spatial sampling is presented. The theory of this method is developed. Benefits of decreased size of a sample, when this method is used, are discussed. Initial sampling of the first three elements is described and density of sampling at the initial stage is obtained by Monte Carlo method. The density is defined on the basis of the logarithm of inverse square of the Euclidean distance function. Simulation of the triangular method of spatial sampling is conducted. An example is research on a forest. The aim of this research is to approximate the ability of trees to absorb carbon dioxide. In this example the triangular method of spatial sampling is used at the strata sampling stage. Density of sampling in the simulated forest is obtained using Monte Carlo method.

Keywords: adaptive sampling; spatial sampling; stratified sampling; research on a forest; minimizing costs of sampling (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:15:y:2014:i:1:p:9-22

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