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Modelling evacuation preparation time prior to floods: A machine learning approach / R. Sreejith in Sustainable Cities and Society, vol 87 (December 2022)
[article]
Titre : Modelling evacuation preparation time prior to floods: A machine learning approach Type de document : Article/Communication Auteurs : R. Sreejith, Auteur ; K.R. Sinimole, Auteur Année de publication : 2022 Article en page(s) : n° 104257 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] apprentissage automatique
[Termes IGN] chronométrie
[Termes IGN] données spatiotemporelles
[Termes IGN] gestion de crise
[Termes IGN] inondation
[Termes IGN] Kerala (Inde ; état)
[Termes IGN] modèle de simulation
[Termes IGN] plan de prévention des risques
[Termes IGN] questionnaire
[Termes IGN] risque naturel
[Termes IGN] secours d'urgenceRésumé : (auteur) Flooding is a significant hazard responsible for substantial damage and risks to human life worldwide. Effective emergency evacuation to a safer location remains a concern even though the crisis can be predicted and warnings were given. During a calamity, most residents cannot quickly and securely flee. As it is crucial to start evacuation at the right time to have a safe evacuation, this study focuses on a machine learning-based model for predicting a household's evacuation preparation time in the incident of a flood. The study is based on the data collected from flood-affected people from Kerala, India, through a questionnaire. The study indicates that people's demographic, geographical and behavioural aspects, awareness of natural hazards and management are the critical components for improved emergency actions. Further, the article also analysed the characteristics of the respondents and successfully created clusters in which the respondents broadly belong, which will help the rescue team operationalize the evacuation process. Numéro de notice : A2022-819 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.scs.2022.104257 Date de publication en ligne : 14/10/2022 En ligne : https://doi.org/10.1016/j.scs.2022.104257 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101986
in Sustainable Cities and Society > vol 87 (December 2022) . - n° 104257[article]An improved optimization model for crowd evacuation considering individual exit choice preference / Fei Gao in Transactions in GIS, vol 26 n° 7 (November 2022)
[article]
Titre : An improved optimization model for crowd evacuation considering individual exit choice preference Type de document : Article/Communication Auteurs : Fei Gao, Auteur ; Zhiqiang Du, Auteur ; Martin Werner, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 2850 - 2873 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] comportement
[Termes IGN] événement
[Termes IGN] gestion de crise
[Termes IGN] optimisation (mathématiques)
[Termes IGN] optimisation par essaim de particules
[Termes IGN] planification
[Termes IGN] secours d'urgenceRésumé : (auteur) Guidance-assisted crowd evacuation is a process of combining individual exit choice behavior with managers'exit assignment control. The knowledge of individual exit choice preference is of great significance for optimizing global exit assignment planning. This study proposes an improved optimization model for crowd evacuation by integrating the individual-level exit choice preference analysis with system-level exit assignment optimization to represent more realistic crowd evacuation decisions. First, the impact factors of individual exit choice behavior are considered in a mixed logit model to predict the probability of each individual choosing each exit in specific situations. Second, a preference-based exit filtering strategy is designed to analyze the sensible alternative exits for individuals or groups in multi-scale evacuation cells. Finally, to pursue optimal exit assignment planning, a multi-objective particle swarm optimization algorithm and an improved social force model are adopted to simulate the process of crowd evacuation and evaluate the performance of the specific exit assignment plans. The case study of an outdoor multiple-exit scenario in Xi'an, China, indicates that the proposed model can help managers to understand the heterogeneity of individual evacuation behaviors. Furthermore, it will support more reliable and realistic evacuation decisions in real-life situations than conventional plans that typically implement the top-n strategy. Numéro de notice : A2022-833 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.12984 Date de publication en ligne : 04/09/2022 En ligne : https://doi.org/10.1111/tgis.12984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102216
in Transactions in GIS > vol 26 n° 7 (November 2022) . - pp 2850 - 2873[article]A machine learning approach for detecting rescue requests from social media / Zheye Wang in ISPRS International journal of geo-information, vol 11 n° 11 (November 2022)
[article]
Titre : A machine learning approach for detecting rescue requests from social media Type de document : Article/Communication Auteurs : Zheye Wang, Auteur ; Nina S.N. Lam, Auteur ; Mingxuan Sun, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 570 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] apprentissage automatique
[Termes IGN] code postal
[Termes IGN] données d'entrainement (apprentissage automatique)
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] Etats-Unis
[Termes IGN] filtrage d'information
[Termes IGN] secours d'urgence
[Termes IGN] tempête
[Termes IGN] terminologie
[Termes IGN] TwitterRésumé : (auteur) Hurricane Harvey in 2017 marked an important transition where many disaster victims used social media rather than the overloaded 911 system to seek rescue. This article presents a machine-learning-based detector of rescue requests from Harvey-related Twitter messages, which differentiates itself from existing ones by accounting for the potential impacts of ZIP codes on both the preparation of training samples and the performance of different machine learning models. We investigate how the outcomes of our ZIP code filtering differ from those of a recent, comparable study in terms of generating training data for machine learning models. Following this, experiments are conducted to test how the existence of ZIP codes would affect the performance of machine learning models by simulating different percentages of ZIP-code-tagged positive samples. The findings show that (1) all machine learning classifiers except K-nearest neighbors and Naïve Bayes achieve state-of-the-art performance in detecting rescue requests from social media; (2) using ZIP code filtering could increase the effectiveness of gathering rescue requests for training machine learning models; (3) machine learning models are better able to identify rescue requests that are associated with ZIP codes. We thereby encourage every rescue-seeking victim to include ZIP codes when posting messages on social media. This study is a useful addition to the literature and can be helpful for first responders to rescue disaster victims more efficiently. Numéro de notice : A2022-846 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11110570 Date de publication en ligne : 16/11/2022 En ligne : https://doi.org/10.3390/ijgi11110570 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102081
in ISPRS International journal of geo-information > vol 11 n° 11 (November 2022) . - n° 570[article]Analysis of the spatial range of service and accessibility of hospitals designated for coronavirus disease 2019 in Yunnan Province, China / Liangting Zheng in Geocarto international, vol 37 n° 22 ([10/10/2022])
[article]
Titre : Analysis of the spatial range of service and accessibility of hospitals designated for coronavirus disease 2019 in Yunnan Province, China Type de document : Article/Communication Auteurs : Liangting Zheng, Auteur ; Jia Li, Auteur ; Wenying Hu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 6519 - 6537 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accessibilité
[Termes IGN] diagramme de Voronoï
[Termes IGN] données médicales
[Termes IGN] données routières
[Termes IGN] épidémie
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] interpolation par pondération de zones
[Termes IGN] maladie virale
[Termes IGN] médecine humaine
[Termes IGN] secours d'urgence
[Termes IGN] Yunnan (Chine)Résumé : (auteur) COVID-19 poses a major threat to global health care systems, and the recent surge in mortality rates confirms the importance of timely access to care. The capacity of medical service providers is reflected both in the spatial accessibility of medical institutions and in the spatial scope of their services. Therefore, this study aims to investigate the spatial scope of services and spatial accessibility of COVID-19-designated hospitals in Yunnan Province, China. Data are collected from multiple sources and included COVID-19 case data, road data, and data from designated hospitals for COVID-19 in Yunnan Province. The optimal spatial service range for designated hospitals is delineated using a weighted Voronoi diagram that takes into account the number of medical staff and the number of beds in the hospital. Traffic accessibility coefficients are introduced to analyze the spatial accessibility of COVID-19-designated hospitals, and the spatial accessibility of each designated hospital is visualized using the inverse distance weighting interpolation algorithm. The results show the following: (1) COVID-19 cases in Yunnan Province are concentrated in the central and northern regions. The largest single cells in the weighted Voronoi diagram are mainly Pu'er (59168 km2), Honghe (35569 km2), and Baoshan (46795 km2), and the time cost of attainting medical treatment is greater for residents in marginal areas. (2) Within the service space of designated hospitals, 90.24% of patients could obtain medical assistance within 2 h. Those in 52 (36.36%) counties within a municipal jurisdiction could obtain medical services within 2 h, and 76.47% of counties have above-average spatial accessibility. (3) Medical resources in Yunnan Province should be shifted toward the high-risk east-central region and the less spatially accessible in southern and western regions. Numéro de notice : A2022-728 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1943008 Date de publication en ligne : 09/07/2021 En ligne : https://doi.org/10.1080/10106049.2021.1943008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101674
in Geocarto international > vol 37 n° 22 [10/10/2022] . - pp 6519 - 6537[article]Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images : A systematic review / Sahar S. Matin in Geocarto international, Vol 37 n° 21 ([01/10/2022])
[article]
Titre : Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images : A systematic review Type de document : Article/Communication Auteurs : Sahar S. Matin, Auteur ; Biswajeet Pradhan, Auteur Année de publication : 2022 Article en page(s) : pp 6186 - 6212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage profond
[Termes IGN] cartographie thématique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] déformation d'édifice
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] données lidar
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] secours d'urgence
[Termes IGN] séismeRésumé : (auteur) Assessing the extent and level of building damages is crucial to support post-earthquake rescue and relief activities. There is a large body of literature proposing novel frameworks for automating earthquake-induced building damage mapping using high-resolution remote sensing images. Yet, its deployment in real-world scenarios is largely limited to the manual interpretation of images. Although manual interpretation is costly and labor-intensive, it is preferred over automatic and semi-automatic building damage mapping frameworks such as machine learning and deep learning because of its reliability. Therefore, this review paper explores various automatic and semi-automatic building damage mapping techniques with a quest to understand the pros and cons of different methodologies to narrow the gap between research and practice. Further, the research gaps and opportunities are identified for the future development of real-world scenarios earthquake-induced building damage mapping. This review can serve as a guideline for researchers, decision-makers, and practitioners in the emergency management service domain. Numéro de notice : A2022-719 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1933213 Date de publication en ligne : 07/06/2021 En ligne : https://doi.org/10.1080/10106049.2021.1933213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101651
in Geocarto international > Vol 37 n° 21 [01/10/2022] . - pp 6186 - 6212[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2022211 RAB Revue Centre de documentation En réserve L003 Disponible Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations / Kevin Chapuis in International journal of geographical information science IJGIS, vol 36 n° 9 (September 2022)PermalinkA 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)PermalinkUse of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand / Kiatkulchai Jitt-Aer in Natural Hazards, vol 113 n° 1 (August 2022)PermalinkModular multi-dimensional tool for emergency evacuation including location-based social network data / Ilil Blum Shem-Tov in Journal of location-based services, vol 16 n° 1 (March 2022)PermalinkSimulation d'ouragans et de collectes de déchets sur QGIS pour l'amélioration de la collecte des déchets post-ouragan / Quy Thy Truong in Cartes & Géomatique, n° 247-248 (mars-juin 2022)PermalinkA user-centric optimization of emergency map symbols to facilitate common operational picture / Tomasz Opach in Cartography and Geographic Information Science, vol 49 n° 2 (March 2022)PermalinkAutomated construction of a French Entity Linking dataset to geolocate social network posts in the context of natural disasters / Gaëtan Caillaut (2022)PermalinkPermalinkA rapid assessment method for earthquake-induced landslide casualties based on GIS and logistic regression model / Yuqian Dai in Geomatics, Natural Hazards and Risk, vol 13 (2022)PermalinkRoad traffic crashes and emergency response optimization: a geo-spatial analysis using closest facility and location-allocation methods / Sulaiman Yunus in Geomatics, Natural Hazards and Risk, vol 13 (2022)PermalinkModeling transit-assisted hurricane evacuation through socio-spatial networks / Yan Yang in International journal of geographical information science IJGIS, vol 35 n° 12 (December 2021)PermalinkA topic model based framework for identifying the distribution of demand for relief supplies using social media data / Ting Zhang in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)PermalinkMask R-CNN-based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid-19 response in Khartoum, Sudan / Dirk Tiede in Transactions in GIS, Vol 25 n° 3 (June 2021)PermalinkA GIS-based system for spatial-temporal availability evaluation of the open spaces used as emergency shelters: The case of Victoria, British Columbia, Canada / Yibing Yao in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkGIS-based multicriteria evaluation for earthquake response: a case study of expert opinion in Vancouver, Canada / Blake Byron Walker in Natural Hazards, Vol 105 n° 2 (January 2021)PermalinkPermalinkModeling the risk of robbery in the city of Tshwane, South Africa / Nicolas Kemp in Cartography and Geographic Information Science, vol 48 n° 1 (January 2021)PermalinkModélisation et raisonnement spatial flou pour l’aide à la localisation de victimes en montagne / Mattia Bunel (2021)PermalinkOptimisations cartographiques pour la gestion des crises et des risques majeurs : le cas de la cartographie des dommages post-catastrophes / Thomas Candela (2021)PermalinkPermalinkNetwork-constrained bivariate clustering method for detecting urban black holes and volcanoes / Qiliang Liu in International journal of geographical information science IJGIS, vol 34 n° 10 (October 2020)PermalinkOntologie d’Alerte Choucas : de la modélisation des connaissances à un outil support d’un raisonnement géovisuel / Matthieu Viry in Geomatica, vol 74 n° 3 (September 2020)PermalinkEstimating and interpreting fine-scale gridded population using random forest regression and multisource data / Yun Zhou in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)PermalinkA multi-factor spatial optimization approach for emergency medical facilities in Beijing / Liang Zhou in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)PermalinkDynamic floating stations model for emergency medical services with a consideration of traffic data / Chih-Hong Sun in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)PermalinkEvaluating the impact of visualization of risk upon emergency route-planning / Lisa Cheong in International journal of geographical information science IJGIS, vol 34 n° 5 (May 2020)PermalinkCrowdsource mapping of target buildings in hazard: the utilization of smartphone technologies and geographic services / Mohammad H. Vahidnia in Applied geomatics, vol 12 n° 1 (April 2020)PermalinkA novel method of spatiotemporal dynamic geo-visualization of criminal data, applied to command and control centers for public safety / Mayra Salcedo-Gonzalez in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)PermalinkPermalinkModélisation sémantique et programmation générative pour une simulation multi-agent dans le contexte de gestion de catastrophe / Claire Prudhomme in Revue internationale de géomatique, vol 30 n° 1-2 (janvier - juin 2020)PermalinkPermalinkAméliorer la recherche de victimes en montagne grâce à la gestion d'hypothèses et à la géovisualisation / Matthieu Viry in Cartes & Géomatique, n° 241-242 (décembre 2019)PermalinkUn modèle de transcription pour identifier et analyser les objets de référence et les relations spatiales utilisées pour se localiser en montagne / Mattia Bunel in Cartes & Géomatique, n° 241-242 (décembre 2019)PermalinkPotentiel des sources de données collaboratives pour l'intégration de points de repère et des itinéraires pour le sauvetage en zone de montagne / Marie-Dominique Van Damme in Cartes & Géomatique, n° 241-242 (décembre 2019)PermalinkPotential of crowdsourced data for integrating landmarks and routes for rescue in mountain areas / Marie-Dominique Van Damme in International journal of cartography, vol 5 n° 2-3 (July - November 2019)PermalinkSpace, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data / Zheye Wang in Cartography and Geographic Information Science, Vol 46 n° 4 (July 2019)PermalinkA model for phased evacuations for disasters with spatio-temporal randomness / Menghui Li in International journal of geographical information science IJGIS, Vol 33 n° 5-6 (May - June 2019)PermalinkMap symbols for crisis mapping : challenges and prospects / John C. Kostelnick in Cartographic journal (the), Vol 56 n° 1 (February 2019)PermalinkAn approach for identifying and analysing reference features and spatial relations used in mountain emergency calls / Mattia Bunel (2019)PermalinkPermalinkModeling evacuation in institutional space: Linking three-dimensional data capture, simulation, analysis, and visualization workflows for risk assessment and communication / Ian M. Lochhead in Information visualization, vol 18 n° 1 (January 2019)PermalinkPermalinkObjets et relations spatiales composites et prise en compte du vague pour interpréter un référencement spatial indirect / Mattia Bunel in Revue internationale de géomatique, vol 29 n° 1 (janvier - mars 2019)PermalinkIntegrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters / Jia Yu in International journal of geographical information science IJGIS, vol 32 n° 9-10 (September - October 2018)PermalinkSensePlace3: a geovisual framework to analyze place–time–attribute information in social media / Scott Pezanowski in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)PermalinkCombining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment / Bernd Resch in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)PermalinkLiDAR, a technology to assist with smart cities and climate change resilience: a case study in an urban metropolis / Ryan Garnett in ISPRS International journal of geo-information, vol 7 n° 5 (May 2018)PermalinkA spatio-temporal scenario model for emergency decision / Cheng Liu in Geoinformatica, vol 22 n° 2 (April 2018)PermalinkExtraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos / Yu Feng in ISPRS International journal of geo-information, vol 7 n° 2 (February 2018)PermalinkPermalinkDictionnaire du renseignement / Hugues Moutouh (2018)PermalinkPermalinkPermalinkRéférencement spatial indirect : modélisation à base de relations et d'objets spatiaux vagues / Mattia Bunel (2018)PermalinkA survey of geomatics solutions for the rapid mapping of natural hazards / Isabella Toschi in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 12 (December 2017)PermalinkPrivacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing using fine-grained weighted voting / Mihai Maruseac in Geoinformatica, vol 21 n° 4 (October - December 2017)PermalinkSécurité civile : Le SIG en sauveteur de vies / Hubert d' Erceville in SIGmag, n° 14 (octobre 2017)PermalinkSafe separation distance score : a new metric for evaluating wildland firefighter safety zones using lidar / Michael J. Campbell in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkIntegration of SSC TerraSAR-X images into multisource rapid mapping / D. Vassilaki in Photogrammetric record, vol 32 n° 158 (June - july 2017)PermalinkAdvancing science with VGI: Reproducibility and replicability of recent studies / Franck O. Ostermann in Transactions in GIS, vol 21 n° 2 (April 2017)PermalinkSpatio-temporal analysis of crime by developing a method to detect critical distances for the Knox test / Moshen Kalantari in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkApplication of satellite navigation system for emergency warning and alerting / Suelynn Choy in Computers, Environment and Urban Systems, vol 58 (July 2016)PermalinkÉvolution spatiotemporelle de l’exposition humaine face au tsunami à Padang : diagnostic de la vulnérabilité et des capacités d’évacuations à l’échelle infra-urbaine / Henky Mayaguezz in Revue internationale de géomatique, vol 26 n° 3 (juillet - septembre 2016)PermalinkModel application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards / Enes Sukic in Open geosciences, vol 8 n° 1 (January - July 2016)PermalinkLe système de cartographie de crise (SC2) : un outil novateur et rustique au profit des acteurs de la gestion de crise / Thibault Lucazeau in Bulletin de liaison des membres de la Société de Géographie, Hors-série (juin 2016)PermalinkEmergency management perspectives on volunteered geographic information: Opportunities, challenges and change / Billy Haworth in Computers, Environment and Urban Systems, vol 57 (May 2016)PermalinkMulti-agent based path planning for first responders among moving obstacles / Zhiyong Wang in Computers, Environment and Urban Systems, vol 56 (March 2016)PermalinkInfluence de l’émotion dans la description d’un lieu / Aglaée Philippi (2016)PermalinkLocalisation d’une victime dans un contexte de secours en montagne, présenté à l'Atelier Traitement automatique de la parole non standard (TALPA) / Aglaée Philippi (2016)PermalinkCaring and sharing by crowdsourcing / Alister Clark in Position, n° 79 (October - November 2015)PermalinkDefining a framework for integration of geospatial technologies for emergency management / V. Bhanumurthy in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)PermalinkTerritoire sous surveillance / Steve Carpentier in SIGmag, n° 5 (juin 2015)PermalinkA geographic approach for combining social media and authoritative data towards identifying useful information for disaster management / João Porto de Albuquerque in International journal of geographical information science IJGIS, vol 29 n° 4 (April 2015)PermalinkPermalinkEvaluation de dégâts de tempête à l'échelle infra-parcellaire à partir d'une image Pléiades à très haute résolution sur un massif forestier feuillu en France / Anne Jolly in Revue Française de Photogrammétrie et de Télédétection, n° 209 (Janvier 2015)PermalinkRapport 2013-2014 de la déléguée aux risques majeurs / Direction générale de la prévention des risques (2015)PermalinkManaging data, improving safety / Jim Dobbs in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)PermalinkPredictive policing / Jeremy Heffner in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)PermalinkLa topographie au service de la gendarmerie nationale : fixation de l'état des lieux dans un contexte criminalistique (concept et moyen) / Hervé Daudigny in XYZ, n° 138 (mars - mai 2014)PermalinkProviding reliable user reports from the emergency scene for better situation awareness using EMdroid mobile application / Nikola Davidovic in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)PermalinkThe emergency social network: Geovisualising Twitter provides early warnings and on-scene reports to first responders and emergency managers / Deborah Davis in GEO: Geoconnexion international, vol 12 n° 4 (april 2013)PermalinkSpatial 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)PermalinkSpatial modelling of wildland fire danger for risk analysis and conflict resolution in Malaysia : linking Fire Danger Rating Systems (FDRS) with Wildfire Threat Rating Systems (WTRS) / H. Assilzadeh in Geocarto international, vol 27 n° 4 (July 2012)PermalinkImagery on call: Europe leads the way / Anonyme in GEO: Geoconnexion international, vol 11 n° 4 (april 2012)PermalinkLa place des SIG dans la gestion de crise / Françoise de Blomac in SIG la lettre, n° 134 (février 2012)PermalinkMonroe county takes to the road with GIS technology vehicle / K. Corbey in GEO: Geoconnexion international, vol 11 n° 1 (january 2012)PermalinkUn SIG au service des secours / Charles Millot (01/09/2011)PermalinkUne cartographie de qualité pour la sécurité / Anne Fantuzzi in Géomètre, n° 2083 (juillet - aout 2011)PermalinkExploring ontologies for semantic interoperability of data in emergency response / Zhengjie Fan in Applied geomatics, vol 3 n° 2 (June 2011)PermalinkLimitless potential of geospatial imagery / P. Mcintosh in Geoinformatics, vol 14 n° 2 (01/03/2011)Permalink5èmes Rencontres géographes et assureurs face aux risques naturels / S. Bellini (2011)PermalinkGeneralisation, symbol specification and map evaluation: feedback from research done at COGIT laboratory, IGN France / Cécile Duchêne in International Journal of Digital Earth, Volume 4, 2011 - Issue sup1 (2011)PermalinkThe distress alerting satellite system: Taking the search out of search and rescue / D. Affens in GPS world, vol 22 n° 1 (January 2011)PermalinkCartographie et santé : L'exemple du Réseau régional de l'Aide médicale urgente de Haute-Normandie. / H. Parvillers in Le monde des cartes, n° 205 (septembre 2010)PermalinkSpoofing detection and mitigation with a moving handheld receiver / J. Nielsen in GPS world, vol 21 n° 9 (September 2010)PermalinkThe Austrian criminal intelligence service: GIS, spatial analysis and public safety / M. Helbich in Geoinformatics, vol 13 n° 3 (01/04/2010)PermalinkThe power of full motion vidéo: fusing with other intelligent data / L. Wood in Geoinformatics, vol 13 n° 2 (01/03/2010)PermalinkCréation d’une base de données pour la gestion de crise en cas de séisme et/ou tsunami / Jérémy Guilbaud (2010)PermalinkThe new cartographers: crisis map mashups and the emergence of neogeographic practice / S. Liu in Cartography and Geographic Information Science, vol 37 n° 1 (January 2010)PermalinkEvacuating remote areas: team linkage via GIS and satellite telecom / B. Palade in GIM international, vol 23 n° 12 (December 2009)PermalinkPermalinkLocation-based services for emergencies / P. Christen in GIM international, vol 23 n° 5 (May 2009)PermalinkDe Lotha à Klaus : l'information géographique progresse / Françoise de Blomac in SIG la lettre, n° 104 (février 2009)PermalinkLe SIG à la BSPP [brigade des sapeurs pompiers de Paris] / Anonyme in Géomatique expert, n° 66 (01/01/2009)PermalinkProducing geo-historical context from implicit sources: a geovisual analytics approach / B. Tomaszewski in Cartographic journal (the), vol 45 n° 3 (August 2008)PermalinkLe LMJ remplace les atolls du Pacifique / Michel Ravelet in Géomètre, n° 2045 (février 2008)PermalinkGalileo / François Barlier (2008)PermalinkUn SIG flamboyant / Anonyme in Géomatique expert, n° 60 (01/01/2008)PermalinkA 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)PermalinkAnalysis of the geographical accessibility of neurosurgical emergency hospitals in Sapporo city using GIS and AHP [Analytic Hierarchy Process] / K. Ohta in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkGMES, quand la sécurité et l'environnement s'appuient sur l'information géographique / Françoise de Blomac in SIG la lettre, n° 88 (juin 2007)PermalinkPreview, Risk-EOS : le volet gestion de crise de GMES / Françoise de Blomac in SIG la lettre, n° 88 (juin 2007)PermalinkSatellite image analysis for disaster and crisis-management support / S. Voigt in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)PermalinkFlood response / A. Melihen in GEO: Geoconnexion international, vol 6 n° 5 (may 2007)PermalinkApplication of mobile GIS and SDI for emergency management / A. Mobaraki in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)PermalinkInondations : les maires moins seuls / M. Mayo in Géomètre, n° 2033 (janvier 2007)PermalinkTracking first responders: integrated Nav with software-defined radio (SDR) / A. Brown in GPS world, vol 17 n° 11 (November 2006)PermalinkUn système géomatique de préparation aux interventions d'urgence dans le bassin du Mékong : modèle conceptuel de données pour la sécurité et la santé publique lors d'inondations / G. Aube in Revue internationale de géomatique, vol 16 n°3 - 4 (septembre – novembre 2006)PermalinkL'information géographique en Grande Bretagne / Françoise de Blomac in SIG la lettre, n° 72 (décembre 2005)PermalinkDevelopment of GIS/GPS-based emergency response system / P. Dongarra in Geomatica, vol 59 n° 4 (October 2005)PermalinkGoogle Earth brouille les cartes / Françoise de Blomac in SIG la lettre, n° 70 (octobre 2005)PermalinkSupporting effective human interactions with geographic information during crisis response / G. Cai in Geomatica, vol 59 n° 4 (October 2005)PermalinkThe role of Web features et and Web Map Services in real-time geospatial data sharing for time-critical applications / C. Zhang in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkDans le sud, les pompiers aux 100 000 cartes / Françoise de Blomac in SIG la lettre, n° 67 (mai 2005)PermalinkCognitive mapping as an emergency management training exercise / David E. Alexander in Journal of contingencies and crisis management, JCCM, vol 12 n° 4 (December 2004)PermalinkGIS and genetic algorithms for hazmat route planning with security considerations / B. Huang in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)PermalinkSecurity risks of geospatial information / B.E. Lachmann in GIM international, vol 18 n° 11 (November 2004)PermalinkLes SIG à l'épreuve du feu / Françoise de Blomac in SIG la lettre, n° 60 (octobre 2004)PermalinkHeading in the right direction? / J. Angelides in GEO:connexion, vol 3 n° 8 (september 2004)PermalinkLe SIG à l'épreuve du feu / Anonyme in Géomatique expert, n° 36 (septembre 2004)PermalinkUn SIG pour les sapeurs pompiers de Paris / J.L. Rubod in XYZ, n° 100 (septembre - novembre 2004)PermalinkIntegrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkLa valeur ajoutée des SIG dans l'urgence-santé à l'échelle régionale : expérience du réseau régional de l'aide médicale urgente de Haute-Normandie / C. Drieu in Géomatique expert, n° 27 (01/09/2003)PermalinkMacdonald Dettwiler real-time emergency management via satellite: status update and future directions / D. Hargreaves in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 4 (February - March 2003)Permalink