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Data-gathering strategies for social-behavioural research about participatory geographical information system use / T. Nyerges in International journal of geographical information science IJGIS, vol 16 n° 1 (january 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 1 (january 2002) . - pp 1 - 22 Titre : Data-gathering strategies for social-behavioural research about participatory geographical information system use Type de document : Article/Communication Auteurs : T. Nyerges, Auteur ; Piotr Jankowski, Auteur ; C. Drew, Auteur Année de publication : 2002 Article en page(s) : pp 1 - 22 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] acquisition de données [Termes IGN] aide à la décision [Termes IGN] regroupement de données [Termes IGN] sociologie [Termes IGN] système d'information géographique Résumé : (Auteur) Studies about geographical information systems (GIS) use contribute to geographic information science through critical evaluation of the concepts embedded in GIS tools. Social-behavioural studies about group use of GIS help us to understand the social implications of GIS because groups are fundamental units underlying intra-organizational, organization-wide, and inter-organizational activity in society. When group communication technology is integrated with basic GIS capabilities an enhanced version of GIS called 'participatory GIS' (PGIS) is created. Group use of PGIS technology can be studied by sampling social-behavioural events during human-computer-human interaction. Socialbehavioural research about PGIS use requires an informed balance among three research domain s- substan ti ve, theoretical, and methodological -if we are to make balanced progress in participatory geographical information science associated with the critical evaluation of GIS use. In this paper, we draw from our research on GIS-supported collaborative decision making about land use and resource planning and a conceptual framework called Enhanced Adaptive Structuration Theory. We develop a new framework for understanding choices among data-gathering strategies for social-behavioural studies about PGIS use. The framework for data-gathering strategies is composed of two dimensions. One dimension is the level of induced control in social-behavioural relations during GIS use in a research setting. The other is the amount of pre- or post-structuring of variables embedded in data-collection techniques. Several common datagathering strategies, e.g. laboratory experiment, field experiment, case study, and field survey, are differentiated in terms of those dimensions. Objectives for empirical research are used to compare and contrast the data-gathering strategies. This framework helps researchers understand the trade-offs among various datagathering strategies as the core of research designs for critical evaluations of PGIS use. Numéro de notice : A2002-001 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810110075987 En ligne : https://doi.org/10.1080/13658810110075987 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21918 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Enriching and improving the quality of linked data with GIS / Adam Iwaniak in Open geosciences, vol 8 n° 1 (January - July 2016)  

Public [article]  inOpen geosciences > vol 8 n° 1 (January - July 2016) . - pp 323 - 336 Titre : Enriching and improving the quality of linked data with GIS Type de document : Article/Communication Auteurs : Adam Iwaniak, Auteur ; Iwona Kaczmarek, Auteur ; Marek Strzelecki, Auteur ; Jaromar Lukowicz, Auteur ; Piotr Jankowski, Auteur Année de publication : 2016 Article en page(s) : pp 323 - 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] intégration de données [Termes IGN] OpenStreetMap [Termes IGN] système d'information géographique [Termes IGN] web des données [Termes IGN] web sémantique Résumé : (auteur) Standardization of methods for data exchange in GIS has along history predating the creation of World Wide Web. The advent of World Wide Web brought the emergence of new solutions for data exchange and sharing including; more recently, standards proposed by the W3C for data exchange involving Semantic Web technologies and linked data. Despite the growing interest in integration, GIS and linked data are still two separate paradigms for describing and publishing spatial data on the Web. At the same time, both paradigms offer complementary ways of representing real world phenomena and means of analysis using different processing functions. The complementarity of linked data and GIS can be leveraged to synergize both paradigms resulting in richer data content and more powerful inferencing. The article presents an approach aimed at integrating linked data with GIS. The approach relies on the use of GIS tools for integration, verification and enrichment of linked data. The GIS tools are employed to enrich linked data by furnishing access to collection of data resources, defining relationship between data resources, and subsequently facilitating GIS data integration with linked data. The proposed approach is demonstrated with examples using data from DBpedia, OSM, and tools developed by the authors for standard GIS software. Numéro de notice : a2016--068 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1515/geo-2016-0020 En ligne : https://doi.org/10.1515/geo-2016-0020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84414 [article]

vol 21 n° 8 - september 2007 - Geovisual analytics for spatial decision support (Bulletin de International journal of geographical information science IJGIS) / Gennady Andrienko

Public [n° ou bulletin]  est un bulletin de International journal of geographical information science IJGIS (1997 - 2014)   Titre : vol 21 n° 8 - september 2007 - Geovisual analytics for spatial decision support Type de document : Périodique Auteurs : Gennady Andrienko, Éditeur scientifique ; Natalia Andrienko, Éditeur scientifique ; Piotr Jankowski, Éditeur scientifique ; Alan M. MacEachren, Éditeur scientifique Année de publication : 2007 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique Numéro de notice : 079-0705 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9875 [n° ou bulletin]

Contient

• Geovisual analytics for decision support setting the research agenda / Gennady Adrienko in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• Visual analytics of spatial interaction patterns for pandemic decision support / D. Guo in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• Highlighting space-time patterns: effective visual encoding for interactive decision-making / Mike Sips in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• Towards a framework for mining and analysing spatio-temporal datasets / Michela Bertolotto in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• A geographic visualization approach to multi-criteria evaluation of urban quality of life / Claus Rinner in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• Leveraging the potential of geospatial annotations for collaboration: a communication theory perspective / S. Hopper in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  
• A spatio-temporal population model to support risk assessment and damage analysis for decision-making / T. Ahola in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Privacy and spatial pattern preservation in masked GPS trajectory data / Dara E. Seidl in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 3-4 (March - April 2016) . - pp 785 - 800 Titre : Privacy and spatial pattern preservation in masked GPS trajectory data Type de document : Article/Communication Auteurs : Dara E. Seidl, Auteur ; Piotr Jankowski, Auteur ; Ming-Hsiang Tsou, Auteur Année de publication : 2016 Article en page(s) : pp 785 - 800 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Atlanta (Géorgie) [Termes IGN] Chicago (Illinois) [Termes IGN] itinéraire [Termes IGN] protection de la vie privée [Termes IGN] régression linéaire [Termes IGN] seuillage [Termes IGN] traitement de données localisées [Termes IGN] trajectographie par GNSS Résumé : (Auteur) Personal trajectory data are increasingly collected for a variety of academic and recreational pursuits. As access to location data widens and locations are linked to other information repositories, individuals become increasingly vulnerable to identification. The quality and precision of spatially linked attributes are essential to accurate analysis; yet, there is a trade-off between privacy and geographic data resolution. Obfuscation of point data, or masking, is a solution that aims to protect privacy and maximize preservation of spatial pattern. Trajectory data, with multiple locations recorded for an entity over time, is a strong personal identifier. This study explores the balance between privacy and spatial pattern resulting from two methods of obfuscation for personal GPS data: grid masking and random perturbation. These methods are applied to travel survey GPS data in the greater metropolitan regions of Chicago and Atlanta. The rate of pattern correlation between the original and masked data sets declines as the distance thresholds for masking increase. Grid masking at the 250-m threshold preserves route anonymity better than other methods and distance thresholds tested, but preserves spatial pattern least. This study also finds via linear regression that median trip speed and road density are significant predictors of trip anonymity. Numéro de notice : A2016-097 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1101767 En ligne : https://doi.org/10.1080/13658816.2015.1101767 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79894 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces / Natalia Andrienko in Information visualization, vol 15 n° 2 (April 2016)  

Public [article]  inInformation visualization > vol 15 n° 2 (April 2016) . - pp 117 - 153 Titre : Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces Type de document : Article/Communication Auteurs : Natalia Andrienko, Auteur ; Gennady Andrienko, Auteur ; Georg Fuchs, Auteur ; Piotr Jankowski, Auteur Année de publication : 2016 Article en page(s) : pp 117 - 153 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] analyse multicritère [Termes IGN] données spatiotemporelles [Termes IGN] information sémantique [Termes IGN] migration pendulaire [Termes IGN] mobilité urbaine [Termes IGN] protection de la vie privée [Termes IGN] réseau social [Termes IGN] téléphone intelligent [Termes IGN] trace GPS [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Mobility diaries of a large number of people are needed for assessing transportation infrastructure and spatial development planning. Acquisition of personal mobility diaries through population surveys is a costly and error-prone endeavour. We examine an alternative approach to obtaining similar information from episodic digital traces of people’s presence in various locations, which appear when people use their mobile devices for making phone calls, accessing the Internet or posting georeferenced contents (texts, photos or videos) in social media. Having episodic traces of a person over a long time period, it is possible to detect significant (repeatedly visited) personal places and identify them as home, work or place of social activities based on temporal patterns of a person’s presence in these places. Such analysis, however, can lead to compromising personal privacy. We have investigated the feasibility of deriving place meanings and reconstructing personal mobility diaries while preserving the privacy of individuals whose data are analysed. We have devised a visual analytics approach and a set of supporting tools making such privacy-preserving analysis possible. The approach was tested in two case studies with publicly available data: simulated tracks from the VAST Challenge 2014 and real traces built from georeferenced Twitter posts. Numéro de notice : A2016--019 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1177/1473871615581216 En ligne : https://doi.org/10.1177/1473871615581216 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83874 [article]

Spatial optimization as a generative technique for sustainable multiobjective land-use allocation / A. Ligmann-Zielinska in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)  

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