Detection of desirable areas for urban growth through GIS and OWA: the case of Culiacan and Navolato

Main Article Content

José Jesús Uriarte Adrián http://orcid.org/0000-0002-0936-0454
Wenseslao Plata Rocha http://orcid.org/0000-0002-9469-7886
Rosendo Romero Andrade http://orcid.org/0000-0003-3786-0576
Gabriela Corrales Barraza http://orcid.org/0000-0003-4182-5458
José C. Beltrán González http://orcid.org/0000-0002-2758-5980
Ricardo Remond Noa http://orcid.org/0000-0002-6969-3453

Resumen

Due to an accelerated growth of artificial surfaces, an increasing interest in the changes on land use has been detected in the last decade, making it necessary to propose models able to create plans of optimal and sustainable development. The goal of this work is to identify the potentially most suitable spaces for urban growth, through geospatial simulations which integrate the Geographic Information Systems and OWA (Ordered Weighted Average). We propose a sensitivity analysis methodology to the results in order to assess their robustness with respect to the input values’ weights variability, based on histograms and distances classification. Finally, the selection proposal shows a considerable percentage according to the planned area. 

Article Details

Como citar
URIARTE ADRIÁN, José Jesús et al. Detection of desirable areas for urban growth through GIS and OWA: the case of Culiacan and Navolato. CIENCIA ergo-sum, [S.l.], v. 27, n. 2, jun. 2020. ISSN 2395-8782. Disponible en: <https://cienciaergosum.uaemex.mx/article/view/10507>. Fecha de acceso: 17 oct. 2021 doi: https://doi.org/10.30878/ces.v27n2a6.
Sección
Ciencias de la tierra y de la atmósfera

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