@article{fdi:010062014,
  title = {{T}ropical islands quick data gap analysis guided by coral reef geomorphological maps},
  author = {{A}ndr{\'e}fou{\¨e}t, {S}erge and {H}amel, {M}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} gap analysis is the initial step towards the identification of areas where data are needed. {H}owever, often, data coverage cannot be assessed against a reference that objectively guides the identification of both gaps and priority areas for data acquisition. {H}ere, we describe a quick, effective and reproducible spatial data gap analysis approach based on the relationship between location of available metadata and coral reef geomorphological richness. {I}n {S}olomon {I}slands, we identified gaps defined by high richness and low biological data coverage. {W}e collected metadata only, to avoid dealing with data ownership, availability, and formats, and to be able to identify gaps in less than two months. {T}his fast method does not replace quantitative and comprehensive gap analysis, but provides effective identification of areas of high natural value and limited knowledge. {T}he method is widely applicable and particularly invaluable for large and complex domains such as the {C}oral {T}riangle.},
  keywords = {{S}olomon {I}sland ; {P}acific {I}sland {C}ountries and {T}erritories ; {C}oral ; {T}riangle ; {M}illennium {C}oral {R}eef {M}apping {P}roject ; {R}emote sensing ; {M}arine protected area ; {SALOMON} ; {PACIFIQUE} {ILES}},
  booktitle = {},
  journal = {{M}arine {P}ollution {B}ulletin},
  volume = {81},
  numero = {1},
  pages = {191--199},
  ISSN = {0025-326{X}},
  year = {2014},
  DOI = {10.1016/j.marpolbul.2014.01.055},
  URL = {https://www.documentation.ird.fr/hor/fdi:010062014},
}