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gpsbound: Routine for importing and verifying geographical information from a user provided shapefile

Author

Listed:
  • Brophy, Tim

    (SALDRU, School of Economics, University of Cape Town)

  • Daniels, Reza Che

    (School of Economics, University of Cape Town)

  • Musundwa, Sibongile

    (SALDRU, School of Economics, University of Cape Town)

Abstract

Geographical coordinates such as Global Positioning System (GPS) latitude and longitude estimates form the foundation of many spatial statistical methods. gpsbound allows users to (1) import geographical information from the attribute table of a polygon shapefile based on the identified location of GPS coordinates in a Stata dataset, and (2) check that the GPS coordinates lie within the bounds of a polygon demarcated in the shapefile (e.g. enumerator areas, primary sampling units, suburb, city, country). One of the contributions of gpsbound is to allow users to work with spatial data in Stata without ever needing Geographical Information System (GIS) software.

Suggested Citation

  • Brophy, Tim & Daniels, Reza Che & Musundwa, Sibongile, 2014. "gpsbound: Routine for importing and verifying geographical information from a user provided shapefile," SALDRU Working Papers 132, Southern Africa Labour and Development Research Unit, University of Cape Town.
    • Handle: RePEc:ldr:wpaper:132
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    File URL: https://opensaldru.uct.ac.za/bitstream/handle/11090/763/2014_132_Saldruwp.pdf?sequence=1
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    Citations

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    Cited by:

    1. Kraemer-Eis, Helmut & Signore, Simone & Prencipe, Dario, 2016. "The European venture capital landscape: an EIF perspective. Volume I: The impact of EIF on the VC ecosystem," EIF Working Paper Series 2016/34, European Investment Fund (EIF).
    2. Martin Gustafsson, 2016. "Teacher supply and the quality of schooling in South Africa. Patterns over space and time," Working Papers 03/2016, Stellenbosch University, Department of Economics.
    3. Andrew Kerr & Patrizio Piraino & Vimal Ranchhod, 2016. "Estimating the size and impact of Affirmative Action at the University of Cape Town," SALDRU Working Papers 172, Southern Africa Labour and Development Research Unit, University of Cape Town.

    More about this item

    Keywords

    Stata ado; GPS coordinates; Bounding box; Point in polygon algorithm;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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