Detecting Level-of-Detail Inconsistencies in Volunteered Geographic Information Data Sets
Guillaume Touya, Carmen Brando-Escobar · Cartographica The International Journal for Geographic Information and Geovisualization · 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.