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Similarity measurement on human mobility data with spatially weighted structural similarity index (SpSSIM) / Chanwoo Jin in Transactions in GIS, Vol 24 n° 1 (February 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 1 (February 2020) . - pp 104 - 122 Titre : Similarity measurement on human mobility data with spatially weighted structural similarity index (SpSSIM) Type de document : Article/Communication Auteurs : Chanwoo Jin, Auteur ; Atsushi Nara, Auteur ; Jiue-An Yang, Auteur ; Ming-Hsiang Tsou, Auteur Année de publication : 2020 Article en page(s) : pp 104 - 122 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Bootstrap (statistique) [Termes IGN] Californie (Etats-Unis) [Termes IGN] données issues des réseaux sociaux [Termes IGN] interpolation par pondération de zones [Termes IGN] mesure de similitude [Termes IGN] mobilité humaine [Termes IGN] mobilité urbaine [Termes IGN] origine - destination Résumé : (auteur) Understanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility patterns. This study introduces a new method to measure similarities on two origin–destination (OD) matrices by spatially extending an image‐assessment tool, the structural similarity index (SSIM). The new measurement, spatially weighted SSIM (SpSSIM), utilizes weight matrices to overcome the SSIM sensitivity issue due to the ordering of OD pairs by explicitly defining spatial adjacency. To evaluate SpSSIM, we compared performances between SSIM and SpSSIM with resampling the orders of OD pairs and conducted bootstrapping to test the statistical significance of SpSSIM. As a case study, we compared OD matrices generated from three data sources in San Diego County, CA: U.S. Census‐based Longitudinal Employer–Household Dynamics Origin–Destination employment statistics, Twitter, and Instagram. The case study demonstrated that SpSSIM was able to capture similarities of mobility patterns between datasets that varied by distance. Some regions showed local dissimilarity while the global index indicated they were similar. The results enhance the understanding of complex mobility patterns from various datasets, including social media. Numéro de notice : A2020-104 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12590 Date de publication en ligne : 23/10/2019 En ligne : https://doi.org/10.1111/tgis.12590 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94698 [article]

vol 30 n° 9-10 - September - October 2016 - Human dynamics in the mobile and big data era (Bulletin de International journal of geographical information science IJGIS) / Shih-Lung Shaw  

Public [n° ou bulletin]  est un bulletin de International journal of geographical information science IJGIS (2015 -)   Titre : vol 30 n° 9-10 - September - October 2016 - Human dynamics in the mobile and big data era Type de document : Périodique Auteurs : Shih-Lung Shaw, Éditeur scientifique ; Ming-Hsiang Tsou, Éditeur scientifique ; Xinyue Ye, Éditeur scientifique Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse spatio-temporelle [Termes IGN] données massives [Termes IGN] géovisualisation [Termes IGN] lever mobile [Termes IGN] mobilité humaine [Termes IGN] navigation [Termes IGN] recherche appliquée [Termes IGN] téléphonie mobile Numéro de notice : 079-201605 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://www.tandfonline.com/toc/tgis20/30/9 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27151 [n° ou bulletin]

Contient

• Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks / Enrico Steiger in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Understanding the bias of call detail records in human mobility research / Ziliang Zhao in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Measures of transport mode segmentation of trajectories / Adrain C. Prelipcean in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Finding spatial outliers in collective mobility patterns coupled with social ties / Monica Wachowicz in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? / Qunying Huang in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Discovery of local topics by using latent spatio-temporal relationships in geo-social media / Kyoung-Sook Kim in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• A novel methodology for identifying environmental exposures using GPS data / Andreea Cetateanu in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Modeling spatiotemporal information generation / Simon Scheider in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Integrating social network data into GISystems / Clio Andris in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  
• Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? / Paul Holloway in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016051	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

Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 4 (September 2013) . - pp 337 - 348 Titre : Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election Type de document : Article/Communication Auteurs : Ming-Hsiang Tsou, Auteur ; Jiue-An Yang, Auteur ; Brian Spitzberg, Auteur ; Jean Marc Gawron, Auteur ; Dipak Gupta, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 337 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse diachronique [Termes IGN] comportement [Termes IGN] données issues des réseaux sociaux [Termes IGN] élection [Termes IGN] estimation par noyau [Termes IGN] Etats-Unis [Termes IGN] logiciel de navigation [Termes IGN] moteur de recherche [Termes IGN] ontologie [Termes IGN] Twitter Résumé : (Auteur) We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were converted into visualization maps using commercial web search engines (Yahoo application programming interface (API) and Bing API), a social media search engine (Twitter APIs), Internet Protocol (IP) geolocation methods, and Geographic Information Systems (GIS) functions (e.g., kernel density and raster-based map algebra methods). We found that comparing multiple web information landscapes with different keywords or different dates can reveal important spatial patterns and “geospatial fingerprints” for selected keywords. We used the 2012 US Presidential Election candidates as our case study to validate this method. We noticed that the weekly changes of the geographic probability of hosting “Barack Obama” or “Mitt Romney” web pages are highly related to certain major campaign events. Both attention levels and the content of the tweets were deeply impacted by Hurricane Sandy. This new approach may provide a new research direction for studying human thought, human behaviors, and social activities quantitatively. Numéro de notice : A2013-762 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.799738 En ligne : https://doi.org/10.1080/15230406.2013.799738 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32898 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

vol 40 n° 2 - March 2013 - Mapping cyberspace and social media (Bulletin de Cartography and Geographic Information Science) / Ming-Hsiang Tsou  

Public [n° ou bulletin]  est un bulletin de Cartography and Geographic Information Science / Cartography and geographic information society (1999 -)   Titre : vol 40 n° 2 - March 2013 - Mapping cyberspace and social media Type de document : Périodique Auteurs : Ming-Hsiang Tsou, Éditeur scientifique ; Michael Leitner, Éditeur scientifique ; American congress on surveying and mapping, Auteur Année de publication : 2013 Importance : 100 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] géographie sociale [Termes IGN] GeoWeb [Termes IGN] réseau social [Termes IGN] Twitter [Termes IGN] visualisation cartographique Numéro de notice : 032-201302 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://www.tandfonline.com/toc/tcag20/40/2 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=16685 [n° ou bulletin]

Contient

• Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr / Linna Li in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  
• Spatial patterns and demographic indicators of effective social media content during the Horsethief Canyon fire of 2012 / Joshua Kent in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  
• Evaluating the “geographical awareness” of individuals: an exploratory analysis of Twitter data / Chen Xu in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  
• Demarcating new boundaries: mapping virtual polycentric communities through social media content / Anthony Stefanidis in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  
• Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb / Jeremy W. Crampton in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  
• Accuracy and privacy aspects in free online reverse geocoding services / Ourania Kounadi in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible