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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

From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping / Nicholas Gould in Cartography and Geographic Information Science, Vol 43 n° 3 (June 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 3 (June 2016) . - pp 208 - 222 Titre : From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping Type de document : Article/Communication Auteurs : Nicholas Gould, Auteur ; William A Mackaness, Auteur Année de publication : 2016 Article en page(s) : pp 208 - 222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] accident de la route [Termes descripteurs IGN] carte sur mesure [Termes descripteurs IGN] conception cartographique [Termes descripteurs IGN] contenu généré par les utilisateurs [Termes descripteurs IGN] généralisation cartographique [Termes descripteurs IGN] langage de requête [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] OWL [Termes descripteurs IGN] taxinomie [Termes descripteurs IGN] web mapping [Vedettes matières IGN] Généralisation Résumé : (Auteur) Automation of the cartographic design process is central to the delivery of bespoke maps via the web. In this paper, ontological modeling is used to explicitly represent and articulate the knowledge used in this decision-making process. A use case focuses on the visualization of road traffic accident data as a way of illustrating how ontologies provide a framework by which salient and contextual information can be integrated in a meaningful manner. Such systems are in anticipation of web-based services in which the user knows what they need, but do not have the cartographic ability to get what they want. Numéro de notice : A2016-165 Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1072737 En ligne : https://doi.org/10.1080/15230406.2015.1072737 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80471 [article]

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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. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (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. 12 Titre : Conclusion: major achievements and research challenges in generalisation Type de document : Chapitre/Contribution Auteurs : Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur ; William A Mackaness, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : pp 393 - 403 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] algorithme de généralisation [Termes descripteurs IGN] généralisation automatique de données [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] intégration de données [Termes descripteurs IGN] réutilisation logicielle [Vedettes matières IGN] Généralisation Résumé : (auteur) The core ambitions of map generalisation remain the same-as do a set of inter connected research activities concerned with algorithm developments, user requirements modelling, evaluation methodologies, and the handling and integration of multi scale, global datasets. Technology continues to afford new paradigms of data capture and use, in turn requiring generalisation techniques that are capable of working with a wider variety of data sources (including user generated content), and web friendly mapping services that conceal the complexities of the map design process from the lay user. This summarative chapter highlights yet again, the truly inter disciplinary nature of map generalisation research. Numéro de notice : H2014-009 Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-00203-3_12 date de publication en ligne : 01/04/2014 En ligne : http://dx.doi.org/10.1007/978-3-319-00203-3_12 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78622

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

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Collaboration on an ontology for generalisation / Nick Gould (2014)    

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Assessing the veracity of methods for extracting place semantics from Flickr tags / William A Mackaness in Transactions in GIS, vol 17 n° 4 (August 2013)

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Automatic classification of retail spaces from a large scale topographic database / William A Mackaness in Transactions in GIS, vol 15 n° 3 (July 2011)

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Giving the ‘right’ route directions: the requirements for pedestrian navigation systems / C. Schroder in Transactions in GIS, vol 15 n° 3 (July 2011)

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DTM generalisation: handling large volumes of data for multi-scale mapping / O. Chaudry in Cartographic journal (the), vol 47 n° 4 (November 2010)

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Representing forested regions at small scales: automatic derivation from very large scale data / William A Mackaness in Cartographic journal (the), vol 45 n° 1 (February 2008)

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Evaluation in the map generalisation process / William A Mackaness (01/01/2007)

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Generalisation of geographic information / William A Mackaness (2007)

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Observations and research challenges in map generalisation and multiple representation / William A Mackaness (01/01/2007)

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