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The International Encyclopedia of Geography: People, The Earth, Environment, and Technology, ch. Map Generalization / William A Mackaness (2017)  

Public Titre de série : The International Encyclopedia of Geography: People, The Earth, Environment, and Technology, ch Titre : Map Generalization Type de document : Chapitre/Contribution Auteurs : William A Mackaness, Auteur ; Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) Map generalization is concerned with the optimal display of geographic information in map form. It involves the careful selection of data and the use of a range of abstraction techniques that seek to give emphasis to what is important, while still including sufficient contextualizing information. If geographic phenomena are stored at fine levels of detail, the goal of automated map generalization is to derive maps at coarser (smaller) scales. Traditionally, the focus has been on paper maps, but increasingly map generalization services are available via the web, and accessible to users with relatively little cartographic knowledge who wish to integrate data from multiple sources (including their own). These high levels of automation require us to make explicit the relationships and behaviors among geographic phenomena, in order that we can reason about the complex decision‐making process that is cartographic design. Numéro de notice : H2017-029 Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781118786352.wbieg1015 date de publication en ligne : 06/03/2017 En ligne : https://doi.org/10.1002/9781118786352.wbieg1015 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91924

Automatic delineation of built-up area at urban block level from topographic maps / Sebastian Muhs in Computers, Environment and Urban Systems, vol 58 (July 2016)  

Public [article]  inComputers, Environment and Urban Systems > vol 58 (July 2016) . - pp 71 - 84 Titre : Automatic delineation of built-up area at urban block level from topographic maps Type de document : Article/Communication Auteurs : Sebastian Muhs, Auteur ; Hendrik Herold, Auteur ; Gotthard Meinel, Auteur ; Dirk Burghardt, Auteur ; Odette Kretschmer, Auteur Année de publication : 2016 Article en page(s) : pp 71 - 84 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] analyse d'image numérique [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] carte topographique [Termes descripteurs IGN] détection du bâti [Termes descripteurs IGN] extraction semi-automatique [Termes descripteurs IGN] îlot urbain [Termes descripteurs IGN] vision par ordinateur [Termes descripteurs IGN] zone urbaine Résumé : (auteur) To comprehensively study and better understand urban dynamic processes — such as densification, growth and sprawl, or shrinkage — spatio-temporal databases that allow to track changes of geographic objects like buildings and urban blocks are essential. While comprehensive databases exist for contemporary data, they usually lack a historic dimension. The manual constitution of historic geographic data, be it based on historic maps or aerial images, is a time consuming and laborious process, however. Therefore, we present an approach to semi-automatically extract this data from binary topographic maps with regard to built-up areas at urban block level. The suitability of topographic maps for historic urban analysis has been proven in previous research. To overcome the challenges that are inherent in scanned topographic maps in regard to digital image interpretation we designed a modular process. Among others, these challenges include fused and (multi-)fragmented map objects caused by the overlap of competing content layers in one single binary map. After a preliminary separation of individual map object layers from the map content, the process follows a two-stage top-down approach. At first, the map is organized into street blocks, which after that are re-delineated in regard to built-up area. In doing so, we achieve correctness values ranging from 0.97 to 0.93 for three study sites in Germany. With an increasing number of projects that provide historic topographic maps as georeferenced digital data, our process represents a promising approach to efficiently prepare these historic data for integration into a spatio-temporal database with minimal user intervention. Numéro de notice : A2016-404 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.compenvurbsys.2016.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81221 [article]

Automated generalisation within NMAS in 2016 / Jantien E. Stoter (2016)  

Public contenu dans EuroSDR contributions to ISPRS Congress XXIII, 12 - 19 July 2016, Special Session 12 – EuroSDR Prague, Czech Republic / European Spatial Data Research EuroSDR (02/2017)   23th ISPRS international congress, 4. Commission IV / Lena Halounova (2016)   Titre : Automated generalisation within NMAS in 2016 Type de document : Article/Communication Auteurs : Jantien E. Stoter, Auteur ; Vincent Van Altena, Auteur ; Marc Post, Auteur ; Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLI-B4 Importance : pp 647 - 652 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] base de données multi-représentation [Termes descripteurs IGN] chaîne de traitement [Termes descripteurs IGN] état de l'art [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] organisme cartographique national [Vedettes matières IGN] Généralisation Résumé : (auteur) Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Commission on Generalisation and Multirepresentation of the International Cartographic Association and the Commission on Modelling and Processing of the European Spatial Data Research. This paper reports about the workshop outcomes. It shows that, most NMAs have implemented a certain form of automation in their workflows, varying from generalisation of certain features while still maintaining a manual workflow; semiautomated editing and generalisation to a fully automated procedure. Numéro de notice : C2016-015 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLI-B4-647-2016 date de publication en ligne : 14/06/2016 En ligne : http://doi.org/10.5194/isprs-archives-XLI-B4-647-2016 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84320

Thematic workshop on building an ontology of generalisation for on-demand mapping / William A Mackaness (2015)    

Public Titre : Thematic workshop on building an ontology of generalisation for on-demand mapping Type de document : Article/Communication Auteurs : William A Mackaness, Auteur ; Nick Gould, Auteur ; Sean Bechhofer, Auteur ; Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur ; Robert Stevens, Auteur ; Guillaume Touya , Auteur Congrès : UKON 2015, 4th UK Ontology Network Meeting (14 avril 2015; Leeds, Royaume-Uni), Commanditaire ; GISRUK 2015, 23th GIS Research UK annual conference (15 - 17 avril 2015; School of Geography, University of Leeds, Leeds, Royaume-Uni), Commanditaire ; Congrès: ICA 2015, 19th workshop, Commission on Generalisation and Multiple Representation Thematic Workshop on building an Ontology of Generalisation for On-demand Mapping (26 - 27 mars 2015; Saint-Mandé, France), Auteur Editeur : UK ontology network Année de publication : 2015 Importance : 10 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] cartographie [Termes descripteurs IGN] connaissance thématique [Termes descripteurs IGN] ontologie [Vedettes matières IGN] Généralisation Mots-clés libres : cartographic-knowledge Résumé : (auteur) A workshop comprising experts in the field of map generalization came together with experts in ontological modelling in order to explore the role of ontologies in map generalization. A sequence of participatory activities identified the need for ontologies related to tasks, algorithms, data quality and truth, content selection, layout constraints, and geographical modelling (the set of relations among a set of map features). The workshop resulted in a deeper shared understanding of relationships between concepts that lie at the heart of map generalization. At the conclusion to the workshop attendees were tasked with developing case studies that will be shared via a wiki, and reported upon in a subsequent meeting devoted to ontological modelling for map generalization. This report is not exhaustive in its presentation of all the ideas and material presented at the workshop, but seeks to convey the over-arching methodology and its core findings. Numéro de notice : C2015-036 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://kartographie.geo.tu-dresden.de/downloads/ica-gen/ThemWorkshop/ThematicOn [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83291

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Abstracting geographic information in a data rich world, ch. 1. Map generalisation: fundamental to the modelling and understanding of geographic space / William A Mackaness (2014)  

Public contenu dans Abstracting geographic information in a data rich world / Dirk Burghardt (2014) Titre de série : Abstracting geographic information in a data rich world, ch. 1 Titre : Map generalisation: fundamental to the modelling and understanding of geographic space Type de document : Chapitre/Contribution Auteurs : William A Mackaness, Auteur ; Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : pp 1 - 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] généralisation automatique de données [Termes descripteurs IGN] généralisation cartographique automatisée [Vedettes matières IGN] Généralisation Résumé : (auteur) It would be a mistake to see map generalisation merely as the automation of a set of cartographic practices. The process of representing various geographies at different levels of detail goes to the heart of geographical understanding. Comprehension and context comes from being able to examine information at multiple levels of detail. An automated environment that can support such interaction depends upon a rich understanding of the qualities, behaviours and relationships among the various geographic phenomena that are being mapped. In this chapter we seek to explore the complexity of map generalisation, reflecting on the impact of the changing ways in which we gather and interact with geographic information. This in turn provides a justification for the structure of the book which is then summarised in the second half of this chapter. Numéro de notice : H2014-005 Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-00203-3_1 date de publication en ligne : 01/04/2014 En ligne : http://dx.doi.org/10.1007/978-3-319-00203-3_1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78659

Abstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)  

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Abstracting geographic information in a data rich world, ch. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (2014)  

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Abstracting geographic information in a data rich world / Dirk Burghardt (2014)

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Content zooming and information exploration for web and mobile maps. Adaptation of real-time map generalisation to the information seeking strategies of web and mobile users / Pia Bereuter in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)

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Cartography from pole to pole [ICC 2013] / Manfred F. Buchroithner (2013)

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Proceedings of the 26th International Cartographic Conference, ICC '13 [ICC 2013] / Manfred F. Buchroithner (2013)  

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Relation modelling within multiple representation databases and generalisation services / Dirk Burghardt in Cartographic journal (the), vol 47 n° 3 (August 2010)  

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State-of-the-art of automated generalisation in commercial software / Jantien E. Stoter (2010) 

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Automated processing for map generation using web services / M. Neun in Geoinformatica, vol 13 n° 4 (December 2009)

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Methodology for evaluating automated map generalization in commercial software / Jantien E. Stoter in Computers, Environment and Urban Systems, vol 33 n° 5 (September 2009)  

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