Article Dans Une Revue Cartographica Année : 2013

Detecting Level of Detail Inconsistencies in VGI Datasets

Résumé

Whereas it was possible to define the level of detail (LoD) of authoritative datasets, it is not possible for Volunteered Geographic Information (VGI), often char-acterised by heterogeneous levels of details. This heterogeneity is a curb for map-making, particularly when using traditional map derivation processes such as gener-alisation. The paper proposes a method to infer the level of detail of VGI features. Then, inconsistencies between features with different levels of detail that get in the way of good mapmaking can be automatically identified. Some proposals are made to harmonise level of detail heterogeneities. The LoD inference is implemented and results are presented on OpenStreetMap data.

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hal-02283702 , version 1 (11-09-2019)

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Guillaume Touya, Carmen Brando-Escobar. Detecting Level of Detail Inconsistencies in VGI Datasets. Cartographica, 2013, 48 (2), pp.134-143. ⟨10.3138/carto.48.2.1836⟩. ⟨hal-02283702⟩
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