Assessment of susceptibility to landslides through geographic information systems and the logistic regression model

@article{Riegel2020AssessmentOS,
  title={Assessment of susceptibility to landslides through geographic information systems and the logistic regression model},
  author={R. Riegel and D. D. Alves and Bruna Schmidt and G. G. de Oliveira and C. Haetinger and D. M. M. Os{\'o}rio and Marco Ant{\^o}nio Siqueira Rodrigues and Daniela M{\"u}ller de Quevedo},
  journal={Natural Hazards},
  year={2020},
  pages={1-15}
}
The increase in the frequency of natural disasters in recent years and its consequent social, economic and environmental impacts make it possible to prioritize areas of risk as an essential measure in order to maximize harm reduction. This case study, developed in the city of Novo Hamburgo, Rio Grande do Sul state, Brazil, aims to identify and evaluate areas susceptible to mass movements, through the development of a model based on logistic regression, associated to Geographic Information… Expand

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