@article{fdi:010076057,
  title = {{A} spatially explicit integrative model for estimating the risk of wildfire impacts in {N}ew-{C}aledonia},
  author = {{M}angeas, {M}organ and {A}ndre, {J}. and {G}omez, {C}. and {D}espinoy, {M}arc and {W}attele, {G}. and {T}ouraivane, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this study, we present a spatially explicit bayesian model which is able to predict the distribution of potential fire ignition at a grid resolution of over the entire main island of {N}ew-{C}aledonia. {T}his statistical model, when used in conjunction with a mechanistic fire model ({F}lam{M}ap), is able to estimate the comparative and spatialized risk of fire impact on specific areas for specific issues such as biodiversity or erosion. {T}he input data includes variables related to the physical environment such as the topography, climate, and some geographical indicators relating to human influences such as population density and type of land property. [{GRAPHICS}] {F}lowchart computation for the specific cell i. {T}he grey rectangles denote the input data, the trapezoids denote the intermediate indices and the rounded corners rectangles denote the integrated wildfire risk indices. {T}he connection legends indicates the corresponding equations and below certain nodes a drawing describes an example related to the main variables and the associated area used.},
  keywords = {{F}ire risk modelling ; {B}ayesian network ; integrated modelling ; spatially ; explicit model ; decision making tool ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {P}arallel {E}mergent and {D}istributed {S}ystems},
  volume = {34},
  numero = {1},
  pages = {37--52},
  ISSN = {1744-5760},
  year = {2019},
  DOI = {10.1080/17445760.2018.1430799},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076057},
}