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Space-filling location selection

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  • Philippe Van Kerm

    (CEPS/INSTEAD, Luxembourg)

Abstract

This presentation describes a Stata implementation of a space-filling location selection algorithm. The objective is to select a subset from a discrete list of locations so that the spatial coverage of the locations by the selected subset is optimized according to a geometric criterion. Such an algorithm designed for geographical site selection is useful more generally to determine a grid of points that "covers" a data matrix as needed in various nonparametric estimation procedures. Various examples illustrate usage of the user-written command spacefill.

Suggested Citation

  • Philippe Van Kerm, 2014. "Space-filling location selection," United Kingdom Stata Users' Group Meetings 2014 17, Stata Users Group.
    • Handle: RePEc:boc:usug14:17
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    File URL: http://repec.org/usug2014/vankerm_uksug14.pdf
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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.

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