Publications du COGIT

Detecting Level-of-Detail Inconsistencies in Volunteered Geographic Information Data Sets

Cartographica: The International Journal for Geographic Information and Geovisualization, Volume 48, Number 2, page 134--143 - 2013

Whereas defining the level of detail ({LoD}) of authoritative data sets is possible, the opposite is true for volunteered geographic information ({VGI}), which is often characterized by heterogeneous {LoDs}. This heterogeneity is a curb for map-making, particularly when using traditional map derivation processes such as generalization. This paper proposes a method to infer the {LoD} of {VGI} features. Then, inconsistencies between features with different {LoDs} that get in the way of good map-making can be automatically identified. Some proposals are made to harmonize {LoD} heterogeneities. The inferring of {LoDs} is implemented, and results are presented on {OpenStreetMap} data.

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Références BibTex

@Article\{Touya13a,
  author       = "Touya, Guillaume and Brando, Carmen",
  title        = "Detecting Level-of-Detail Inconsistencies in Volunteered Geographic Information Data Sets",
  journal      = "Cartographica: The International Journal for Geographic Information and Geovisualization",
  number       = "2",
  volume       = "48",
  pages        = "134--143",
  year         = "2013",
  keywords     = "cartography, lod, vgi",
}
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