Multi-Criteria Geographic Analysis for Automated Cartographic Generalization
| Autor: | Guillaume Touya |
|---|---|
| Přispěvatelé: | Laboratoire sciences et technologies de l'information géographique (LaSTIG), Ecole des Ingénieurs de la Ville de Paris (EIVP)-École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Centre de recherche nantais Architectures Urbanités (CRENAU ), Ambiances, Architectures, Urbanités (AAU), École Centrale de Nantes (ECN)-École nationale supérieure d'architecture de Nantes (ENSA Nantes)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Grenoble (ENSAG ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-École Centrale de Nantes (ECN)-École nationale supérieure d'architecture de Nantes (ENSA Nantes)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Grenoble (ENSAG ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cartography
Cartographic generalization spatial analysis Computer science ELECTRE 0211 other engineering and technologies 0507 social and economic geography Context (language use) 02 engineering and technology PROMETHEE computer.software_genre Use case [INFO]Computer Science [cs] 021101 geological & geomatics engineering Earth-Surface Processes 05 social sciences [SHS.GEO]Humanities and Social Sciences/Geography Automatic summarization Cartographic generalisation Multiple criteria analysis Spatial relation Feature (computer vision) Data mining Scale (map) 050703 geography computer |
| Zdroj: | Cartographic Journal Cartographic Journal, Maney Publishing, In press, ⟨10.1080/00087041.2020.1858608⟩ |
| ISSN: | 0008-7041 |
| DOI: | 10.1080/00087041.2020.1858608⟩ |
| Popis: | International audience; Cartographic generalisation is a process similar to text summarization that transforms a map when scale is reduced. Cartographic generalisation simplifies the map content while preserving as much as possible the initial characteristics and spatial relations of the map. The automation of this process requires a deep understanding of the context of each map feature, which involves different criteria such as the shape of the feature, the semantic nature of the feature, or the spatial patterns of its neighbouring features. This is why multiple criteria decision techniques can be relevant make multiple criteria decision during the process. This paper proposes two use cases of cartographic generalisation sub-tasks where multiple criteria decision techniques improve past techniques: the classification of urban building blocks and the ordering of the buildings to keep in the map as a priority. In both use cases, the proposed methods are experimented on large real cartographic datasets, and evaluated in comparison to alternative techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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