Técnicas para la predicción espacial de zonas susceptibles a deslizamientos

  1. Florez García, Andrés Camilo 1
  2. Pérez Castillo, José Nelson 1
  1. 1 Universidad Distrital Francisco José de Caldas
    info

    Universidad Distrital Francisco José de Caldas

    Bogotá, Colombia

    ROR https://ror.org/02jsxd428

Journal:
Avances: Investigacion en Ingeniería

ISSN: 2619-6581,  1794-4953

Year of publication: 2019

Volume: 16

Issue: 1

Pages: 20-48

Type: Article

DOI: 10.18041/1794-4953/AVANCES.1.5188 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Avances: Investigacion en Ingeniería

Abstract

The implemented techniques for the prediction of landslide-prone areas have been effective at a certain degree. However, many approaches tend to face difficulties to determine non-linear landslides triggering factors, due to the absence of Spatio-temporal dependency structures that evaluate spatial effects as autocorrelation and heterogeneity when describing complex problems. Therefore, results understanding may not be precise and lead to a less reliability condition. The main objective of this article is to provide a solid document that offers both, a general and a detailed perspective about Spatial Prediction Techniques. Finally, we propose an innovative methodology that allows us to use automatic learning and spatial statistics to improve the predictive performance of landslide-prone areas.

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Data source: Dialnet