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An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data / Jue Wang in Cartography and Geographic Information Science, Vol 49 n° 5 (September 2022)  

Public [article]  inCartography and Geographic Information Science > Vol 49 n° 5 (September 2022) . - pp 385 - 406 Titre : An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data Type de document : Article/Communication Auteurs : Jue Wang, Auteur ; Junghwan Kim, Auteur ; Mei-Po Kwan, Auteur Année de publication : 2022 Article en page(s) : pp 385 - 406 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse spatiale [Termes IGN] confidentialité [Termes IGN] données localisées [Termes IGN] géomasquage [Termes IGN] masque géographique [Termes IGN] partage de données localisées [Termes IGN] protection de la vie privée Résumé : (auteur) The widespread use of personal geospatial data raises serious geoprivacy concerns for sharing these data, which may limit the reproducibility of research findings. One widely used method for securely sharing confidential geospatial information is applying geomasking techniques before sharing. Geomasking may reduce the usability of the data. Thus, researchers need to strike a balance between privacy protection and analytical accuracy. Although many geomasking methods have been proposed, there is no systematic evaluation of these methods or guidance on which method to use and how to apply it properly. To address this gap, we evaluate eight geomasking methods with simulated geospatial data with various spatial patterns and investigate their performance on privacy protection and analytical accuracy. We propose not only a set of preliminary guidelines for applying the proper geomasking methods when using different spatial analysis methods but also an evaluation framework for assessing geomasking methods for other spatial analysis methods. The findings will help researchers to properly apply geomasking for sensitive geospatial data and thus promote data sharing and interdisciplinary collaboration while protecting personal geoprivacy. Numéro de notice : A2022-632 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2022.2056510 En ligne : https://doi.org/10.1080/15230406.2022.2056510 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101397 [article]

A geographical and content-based approach to prioritize relevant and reliable tweets for emergency management / A. Marcela Suarez in Cartography and Geographic Information Science, Vol 49 n° 5 (September 2022)  

Public [article]  inCartography and Geographic Information Science > Vol 49 n° 5 (September 2022) . - pp 443 - 463 Titre : A geographical and content-based approach to prioritize relevant and reliable tweets for emergency management Type de document : Article/Communication Auteurs : A. Marcela Suarez, Auteur ; Keith C. Clarke, Auteur Année de publication : 2022 Article en page(s) : pp 443 - 463 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] catastrophe naturelle [Termes IGN] classement [Termes IGN] données issues des réseaux sociaux [Termes IGN] Etats-Unis [Termes IGN] fiabilité des données [Termes IGN] filtrage d'information [Termes IGN] gestion de crise [Termes IGN] pertinence [Termes IGN] qualité des données [Termes IGN] secours d'urgence [Termes IGN] tempête [Termes IGN] Twitter Résumé : (auteur) Tweets posted by the general public during disaster events represent timely, up-to-date, and on-site data that may be useful for emergency responders. However, since Twitter data has been deemed to be unverifiable and untrustworthy, it is challenging to identify those reliable and relevant tweets that can inform emergency response operations. Although computational methods exist both to classify overwhelming amounts of tweets and to filter those relevant to emergency response, using contextual geographic information regarding the disaster event to filter tweets has been overlooked. We review the existing research on the quality of data contributed by the general public from a geographical perspective, and then propose an approach to prioritize tweets for emergency response based on their relevance and reliability. The novelty of the approach is twofold: a) the use of both authoritative data such as hazard-related information and on-the-ground reports provided by weather spotters and validated by the National Weather Service; and b) the fact that it leverages tweets content as well as their geographical context and location. Using Hurricane Harvey in 2017 as a case study, results show that by following the proposed approach 79% of tweets sent from post-identified flooded areas were classified as of high or medium relevance and reliability. This suggests that the proposed approach can provide an accurate prioritization of tweets to be used for real time emergency management. Numéro de notice : A2022-633 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2022.2081257 En ligne : https://doi.org/10.1080/15230406.2022.2081257 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101399 [article]

Characteristics of augmented map research from a cartographic perspective / Yi Cheng in Cartography and Geographic Information Science, Vol 49 n° 5 (September 2022)  

Public [article]  inCartography and Geographic Information Science > Vol 49 n° 5 (September 2022) . - pp 426 - 442 Titre : Characteristics of augmented map research from a cartographic perspective Type de document : Article/Communication Auteurs : Yi Cheng, Auteur ; Guochuang Zhu, Auteur ; Cong Yang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 426 - 442 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte interactive [Termes IGN] cognition [Termes IGN] compréhension de l'image [Termes IGN] lecture de carte [Termes IGN] réalité augmentée [Termes IGN] représentation cartographique 3D [Termes IGN] visualisation cartographique [Vedettes matières IGN] Cartologie Résumé : (auteur) “Why,” “what,” and “how” are basic questions to be answered in augmented map research as an intersecting direction. This study summarizes dynamic visual representations and true 3D interactions as characteristics of augmented maps from the cartographic perspective through analysis of the research progress in different disciplines. From secondary viewpoints of cognition and design, the augmented map cube is presented to establish the research framework in three directions: cognitive purposes, information dimensions, and interactive devices, in which map-based spatial cognition theory, augmented visualization, and interactive features are considered. The research evaluation is carried out to determine the reasonableness of the cube and then identify different research statuses in any one or two of the directions under the cube. Based on a literature search and classification, 30 typical studies were used for structural analysis to discover research trends and new directions that can be mined. The results show that the cube can be used to evaluate the coverage of an article or provide researchers with research trends and new possibilities. Our conclusions include but are not limited to the following: Research for retrieval purposes deserves attention, augmented visualization of specific individual elements is key to understanding maps, and interactive devices become more intangible. Numéro de notice : A2022-634 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2022.2059571 Date de publication en ligne : 22/04/2022 En ligne : https://doi.org/10.1080/15230406.2022.2059571 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101401 [article]