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Assessing geospatial models to explain the occurrence of clandestine graves in Mexico.
Silván-Cárdenas, J L; Alegre-Mondragón, Ana J; Silva-Arias, C.
Afiliação
  • Silván-Cárdenas JL; Centro de Investigación en Ciencias de Información Geoespacial, A.C. Contoy 137, Lomas de Padierna, Mexico, DF, Mexico.
  • Alegre-Mondragón AJ; Centro de Investigación en Ciencias de Información Geoespacial, A.C. Contoy 137, Lomas de Padierna, Mexico, DF, Mexico. Electronic address: jalegre@centrogeo.edu.mx.
  • Silva-Arias C; Centro de Investigación en Ciencias de Información Geoespacial, A.C. Contoy 137, Lomas de Padierna, Mexico, DF, Mexico.
Forensic Sci Int ; 361: 112114, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38941898
ABSTRACT
We present an assessment of several geospatial layers proposed as models for detecting clandestine graves in Mexico. The analyses were based on adapting the classical ROC curves to geospatial data (gROC) using the fraction of the predicted area instead of the false positive rate. Grave locations were obtained for ten Mexican states that represent the most conflicting regions in Mexico, and 30 layers were computed to represent geospatial models for grave detection. The gROC analysis confirmed that the travel time from urban streets to grave locations was the most critical variable for detecting graves, followed by nighttime light brightness and population density, whereas, contrary to the rationale, a previously proposed visibility index is less correlated with grave locations. We were also able to deduce which variables are most relevant in each state and to determine optimal thresholds for the selected variables.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepultamento Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Forensic Sci Int Ano de publicação: 2024 Tipo de documento: Article País de publicação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepultamento Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Forensic Sci Int Ano de publicação: 2024 Tipo de documento: Article País de publicação: Irlanda