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Auteur Ron Nijhuis |
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Affiner la recherche Interroger des sources externesAbstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)
Titre de série : Abstracting geographic information in a data rich world, ch. 11 Titre : Generalisation in practice within national mapping agencies Type de document : Chapitre/Contribution Auteurs : Cécile Duchêne Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : pp 329 - 391 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données localisées
[Termes IGN] chaîne de production
[Termes IGN] chaîne de traitement
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] représentation multiple
[Vedettes matières IGN] GénéralisationRésumé : (auteur) National Mapping Agencies (NMAs) are still among the main end users of research into automated generalisation, which is transferred into their production lines via various means. This chapter includes contributions from seven NMAs, illustrating how automated generalisation is used in practice within their partly or fully automated databases and maps production lines, what results are currently being obtained and what further developments are on-going or planned. A contribution by the European Joint Research Center reports on the use of multiple representation and generalisation in the context of the implementation of the European INSPIRE directive. The chapter finishes with a synthesis of recent achievements, as well as future challenges that NMAs have begun to tackle. Numéro de notice : H2014-008 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-00203-3_11 Date de publication en ligne : 01/04/2014 En ligne : http://dx.doi.org/10.1007/978-3-319-00203-3_11 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78635 Fully automated generalization of a 1:50k map from 1:10k data / Jantien E. Stoter in Cartography and Geographic Information Science, vol 41 n° 1 (January 2014)
Titre : Fully automated generalization of a 1:50k map from 1:10k data Type de document : Article/Communication Auteurs : Jantien E. Stoter, Auteur ; Marc Post, Auteur ; Vincent Van Altena, Auteur ; Ron Nijhuis, Auteur ; Ben Bruns, Auteur Année de publication : 2014 Article en page(s) : pp 1 - 13 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] 1:10.000
[Termes IGN] 1:50.000
[Termes IGN] carte topographique
[Termes IGN] chaîne de production
[Termes IGN] données multiéchelles
[Termes IGN] données topographiques
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] Pays-Bas
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This article presents research that implements a fully automated workflow to generalize a 1:50k map from 1:10k data. This is the first time that a complete topographic map has been generalized without any human interaction. More noteworthy is that the resulting map is good enough to replace the existing map. Specifications for the automated process were established as part of this research. Replication of the existing map was not the aim, because feasibility of automated generalization is better when compliance with traditional generalizations rules is loosened and alternate approaches are acceptable. Indeed, users valued the currency and relevancy of geographical information more than complying with all existing cartographic guidelines. The development of the workflow thus started with the creation of a test map with automated generalization operations. The reason for the test map was to show what is technologically possible and to refine the results based on iterative users’ evaluation. The generalization operations (200 in total) containing the relevant algorithms and parameter values were developed and implemented in one model. Particular effort was made to enrich the source data in order to improve the results. The model is context aware which means it is able to apply different algorithms or adjust parameter values in accordance with a specific area. The result of the research is a fully automated generalization workflow that produces a countrywide map at scale 1:50k from 1:10k data in 50 hours. A fully automated workflow may be the only way to produce flexible and on-demand products; consequently, the results were implemented as a new production line in 2013. Issues for further research have been identified. Numéro de notice : A2014-183 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.824637 En ligne : https://doi.org/10.1080/15230406.2013.824637 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33088
in Cartography and Geographic Information Science > vol 41 n° 1 (January 2014) . - pp 1 - 13[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2014011 RAB Revue Centre de documentation En réserve L003 Disponible
