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Space-filling location selection

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  • BIA Michela
  • VAN KERM Philippe

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.

Suggested Citation

  • BIA Michela & VAN KERM Philippe, 2013. "Space-filling location selection," LISER Working Paper Series 2013-17, Luxembourg Institute of Socio-Economic Research (LISER).
    • Handle: RePEc:irs:cepswp:2013-17
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    References listed on IDEAS

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    1. Michela Bia & Philippe Van Kerm, 2014. "Space-filling location selection," Stata Journal, StataCorp LP, vol. 14(3), pages 605-622, September.
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    Cited by:

    1. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    2. Michela Bia & Philippe Van Kerm, 2014. "Space-filling location selection," Stata Journal, StataCorp LP, vol. 14(3), pages 605-622, September.
    3. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.

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    1. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    2. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.

    More about this item

    Keywords

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