The statistical grid as a unit of observation and analysisAndalusia, Spanish region case study

  1. Ojeda Casares, Serafín 1
  2. Valverde Martínez, Joaquín 2
  3. Ramírez Torres, Ana 3
  4. Enrique Regueira, Iria 2
  1. 1 Universidad Pablo de Olavide
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    Universidad Pablo de Olavide

    Sevilla, España

    ROR https://ror.org/02z749649

    Geographic location of the organization Universidad Pablo de Olavide
  2. 2 Instituto de Estadística y Cartografía de Andalucía, Sevilla, España
  3. 3 Indexa Geodata, Sevilla, España
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Journal:
Investigaciones Regionales = Journal of Regional Research

ISSN: 1695-7253,  2340-2717

Year of publication: 2024

Issue: 59

Pages: 149-165

Type: Article

DOI: 10.38191/IIRR-JORR.24.015 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Investigaciones Regionales = Journal of Regional Research

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

Units of observation with reduced dimensions and regular geometry have been increasingly generated in a recent, albeit already steady, trend towards further territorial data disaggregation. In this line of research, the present study reports the results of using the spatial distribution of population data and built-up areas at a high level of territorial data disaggregation with reduced dimensions and with a homogeneous observation unit by applying a regular grid consisting of 250-m square cells. The main objective was to show the results and advantages of working at a high level of spatial data disaggregation. This approach provides a more comprehensive knowledge of the territory and allows for a more accurate analysis of spatial patterns in the different variables under study, thereby enhancing the quality of decision-making processes.

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