Spatial Log-Gaussian Cox processes for modeling wildfire ignition risk : the case of the Forest Reserve of Bogotá D.C

In this paper, we present a methodology for modeling the wildfire ignition risk distribution of the Forest Reserve of Bogotá D.C. We propose to use a spatial point pattern approach for the analysis of the process. From the studied area, we analyzed the spatial pattern of the wildfire occurrence by t...

Full description

Autores:
Miranda Hernández, Angel David
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/34249
Acceso en línea:
http://hdl.handle.net/1992/34249
Palabra clave:
Incendios forestales - Investigaciones - Bogotá (Colombia) - Métodos de simulación
Reservas forestales - Incendios - Investigaciones - Bogotá (Colombia) - Métodos de simulación
Procesos de Gauss - Investigaciones - Estudio de casos
Prevención de incendios forestales - Investigaciones - Bogotá (Colombia) - Estudio de casos
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Description
Summary:In this paper, we present a methodology for modeling the wildfire ignition risk distribution of the Forest Reserve of Bogotá D.C. We propose to use a spatial point pattern approach for the analysis of the process. From the studied area, we analyzed the spatial pattern of the wildfire occurrence by taking into account the variable importance and the incidence of the four type of covariates on the intensity of the wildfires, such as: anthropic, meteorological, geomorphological and physiognomic. A total of 217 wildfires from 1995 to 2016 were taken into account in the model. The results prove that there is statistical evidence to claim that areas closer to human activities have more occurrence of wildfires.