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Revista Chapingo serie ciencias forestales y del ambiente
versión On-line ISSN 2007-4018versión impresa ISSN 2007-3828
Resumen
FLORES-GARNICA, José G. y MACIAS-MURO, Alejandra. Bandwidth selection for kernel density estimation of forest fires. Rev. Chapingo ser. cienc. for. ambient [online]. 2018, vol.24, n.3, pp.313-327. Epub 19-Feb-2021. ISSN 2007-4018. https://doi.org/10.5154/r.rchscfa.2017.12.074.
Introduction:
The mapping of areas with higher forest fire density can be developed through kernel density estimation, which requires the selection of a function and bandwidth (h). The h value, when defined by subjective (visual) processes, will depend on the knowledge and experience of the person making the selection.
Objective:
To propose a statistical alternative, based on forest fires information (2005-2013) from Jalisco, Mexico, for the selection of h as support for kernel density estimation.
Materials and methods:
A total of 13 h values were defined using seven techniques. The h value was selected using the following statistics: root mean square error, root mean integrated squared error, coefficient of variation and comparative percentage.
Results and discussion:
The h values obtained with the techniques analyzed were between 2 550 and 41 906 m. There was great variation in the results; the range between the maximum and the minimum value was 39 356.34 m with an average of 10 936.74 ± 9 955.04 m. The above implies that there is no single and universal process for all cases. According to the validation criteria, the statistically most adequate h value is between 5 300 and 5 900 m; the closest result was obtained with the mean random distance technique (5 395 m).
Conclusion:
It is possible to select h under a practical statistical perspective, avoiding the use of subjective criteria.
Palabras llave : Fire density; search area; continuous surfaces; mean random distance; mapping of areas.