Triangular Method of Spatial Sampling

Czasopismo

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• Autorzy: Tomasz Bąk
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Monte Carlo method; Forests; Simulation analysis; Estimation theory; Euclidean distance

PL

Metoda Monte Carlo; Lasy; Analiza symulacyjna; Teoria estymacji; Odległość euklidesowa

• Czasopismo: ---
• Strony: 9--22

Twórcy

autor

Tomasz Bąk

• University of Economics in Katowice, Poland

Bibliografia

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