Space-filling location selection

Michela Bia; Philippe Van Kerm

Space-filling location selection

Michela Bia, Philippe Van Kerm

Research output: Working paper

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Abstract

This note describes a Stata implementation of a space-filling location selection algorithm. It optimally selects a subset from an array of locations so that the spatial coverage of the array by the selected subset is optimized according to a geometric criterion. Such an algorithm is useful in site selection problems, but also in various non-parametric estimation procedures, e.g. to select (multivariate) knot locations in spline regression analysis.

Original language	English
Publisher	CEPS/INSTEAD
Number of pages	16
Publication status	Published - 2013

Publication series

Name	Working Papers
Publisher	CEPS/INSTEAD
No.	2013-17

Keywords

multivariate knot selection
point-swapping
site selection
space-filling design
spatial sampling

Access to Document

Working Paper n°2013-17Final published version, 456 KB

Cite this

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KW - spatial sampling

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