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Crowdsource 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)
[article]
Titre : Crowdsource mapping of target buildings in hazard: the utilization of smartphone technologies and geographic services Type de document : Article/Communication Auteurs : Mohammad H. Vahidnia, Auteur ; Farhad Hosseinali, Auteur ; Maryam Shafiei, Auteur Année de publication : 2020 Article en page(s) : pp 3 - 14 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] bâtiment
[Termes IGN] cartographie collaborative
[Termes IGN] données GPS
[Termes IGN] données localisées des bénévoles
[Termes IGN] géocodage
[Termes IGN] gestion de crise
[Termes IGN] instrument embarqué
[Termes IGN] OpenStreetMap
[Termes IGN] secours d'urgence
[Termes IGN] système d'information géographique
[Termes IGN] Téhéran
[Termes IGN] téléphone intelligent
[Termes IGN] web 2.0Résumé : (auteur) Volunteered geographical information (VGI) refers to geographical information that the general public voluntarily collects and shares in the environment instead of for-profit businesses or government entities. Crowdsourcing such information on urgent needs in a disaster can improve the quick emergency responses. This study incorporates the capability of smartphone sensors, GPS, Web 2.0, VGI, and server-based technologies to design and develop a system for collecting target hazard information from volunteers. One of the most important contributions in designing this system is considering the improvement of the positional accuracy of the target buildings based on the position of the mobile device. Several approaches have been recommended for this purpose. The solutions include the use of online map services, geocoding services, and trigonometric methods based on the measurements of sensors such as camera, accelerometer, and magnetic field embedded in a smart mobile phone. The accuracy assessment showed that the trigonometric method by the means of embedded sensors would yield the best result. However, geocoding is more economical in terms of time than other methods. Potentially, the evaluation of the mobile application provided by a group of volunteers showed the overwhelming preference of crowdsource mapping over current telephone communication systems in disaster management. Numéro de notice : A2020-556 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-019-00280-9 Date de publication en ligne : 16/07/2019 En ligne : https://doi.org/10.1007/s12518-019-00280-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95861
in Applied geomatics > vol 12 n° 1 (April 2020) . - pp 3 - 14[article]
Titre : Distributed and parallel architectures for spatial data Type de document : Monographie Auteurs : Alberto Belussi, Éditeur scientifique ; Sara Migliorini, Éditeur scientifique ; Damiano Carra, Éditeur scientifique ; et al., Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 170 p. ISBN/ISSN/EAN : 978-3-03936-751-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] base de données localisées
[Termes IGN] collecte de données
[Termes IGN] développement durable
[Termes IGN] données localisées
[Termes IGN] données massives
[Termes IGN] entrepôt de données localisées
[Termes IGN] géoportail
[Termes IGN] Hadoop
[Termes IGN] métadonnées
[Termes IGN] modèle numérique de surface
[Termes IGN] objet mobile
[Termes IGN] OLAP
[Termes IGN] OpenStreetMap
[Termes IGN] PostGIS
[Termes IGN] réseau social
[Termes IGN] SQL
[Termes IGN] système d'information géographique
[Termes IGN] téléphone intelligent
[Termes IGN] traitement parallèle
[Termes IGN] zone tamponRésumé : (Editeur) [Préface] In recent years, an increasing amount of spatial data has been collected by different types of devices, such as mobile phones, sensors, satellites, space telescope, and medical tools for analysis, or is generated by social networks, such as geotagged tweets. The processing of this huge amount of information, including spatial properties, which are frequently represented in heterogeneous ways, is a challenging task that has boosted research in the big data area in an attempt to investigate cases and propose new solutions for dealing with its peculiarities. In the literature, many different proposals and approaches for facing the problem have been proposed, addressing different goals and different types of users. However, most are obtained by customizing existing approaches which were originally developed for the processing of big data of the alphanumeric type, without any specific support for spatial or spatiotemporal properties. Thus, the proposed solutions can exploit the parallelism provided by these kinds of systems, but without taking into account, in a proficient way, the space and time dimensions that intrinsically characterize the analyzed datasets. As described in the literature, current solutions include: (i) the on-top approach, where an underlying system for traditional big datasets is used as a black box while spatial processing is added through the definition of user-defined functions that are specified on top of the underlying system; (ii) the from-scratch approach, where a completely new system is implemented for a specific application context; and (iii) the built-in approach, where an existing solution is extended by injecting spatial data functions into its core. This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data. Note de contenu : Preface
1- Distributed Processing of Location-Based Aggregate Queries Using MapReduce
2- Towards the Development of Agenda 2063 Geo-Portal to Support Sustainable Development in Africa
3- HiBuffer: Buffer Analysis of 10-Million-Scale Spatial Data in Real Time
4- Mobility DataWarehouses
5- Parallelizing Multiple Flow Accumulation Algorithm using CUDA and OpenACC
6- LandQv2: A MapReduce-Based System for Processing Arable Land Quality Big Data
7- Mr4Soil: A MapReduce-Based Framework Integrated with GIS for Soil Erosion Modelling
8- High-Performance Geospatial Big Data Processing System Based on MapReduceNuméro de notice : 25884 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03936-751-1 En ligne : https://doi.org/10.3390/books978-3-03936-751-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95762 Evaluation des mesures GPS effectuées par un smartphone Android Xiaomi Mi 8 / Umberto Robustelli in Géomatique expert, n° 132-133 (janvier - septembre 2020)
[article]
Titre : Evaluation des mesures GPS effectuées par un smartphone Android Xiaomi Mi 8 Type de document : Article/Communication Auteurs : Umberto Robustelli, Auteur ; Valerio Baiocchi, Auteur ; Giovanni Pugliano, Auteur Année de publication : 2020 Article en page(s) : pp 38 - 49 Note générale : bibliographie
article original en anglais en libre accès : https://doi.org/10.3390/electronics8010091Langues : Français (fre) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] Androïd
[Termes IGN] précision du positionnement
[Termes IGN] récepteur bifréquence
[Termes IGN] téléphone intelligentRésumé : (auteur) [original abstract] On May 2018 the world’s first dual-frequency Global Navigation Satellite System (GNSS) smartphone produced by Xiaomi equipped with a Broadcom BCM47755 chip was launched. It is able to receive L1/E1/ and L5/E5 signals from GPS, Galileo, Beidou, and GLONASS (GLObal NAvigation Satellite System) satellites. The main aim of this work is to achieve the phone’s position by using multi-constellation, dual frequency pseudorange and carrier phase raw data collected from the smartphone. Furthermore, the availability of dual frequency raw data allows to assess the multipath performance of the device. The smartphone’s performance is compared with that of a geodetic receiver. The experiments were conducted in two different scenarios to test the smartphone under different multipath conditions. Smartphone measurements showed a lower C/N0 and higher multipath compared with those of the geodetic receiver. This produced negative effects on single-point positioning as showed by high root mean square error (RMS). The best positioning accuracy for single point was obtained with the E5 measurements with a DRMS (horizontal root mean square error) of 4.57 m. For E1/L1 frequency, the 2DRMS was 5.36 m. However, the Xiaomi Mi 8, thanks to the absence of the duty cycle, provided carrier phase measurements used for a static single frequency relative positioning with an achieved 2DRMS of 1.02 and 1.95 m in low and high multipath sites, respectively. Numéro de notice : A2020-862 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99184
in Géomatique expert > n° 132-133 (janvier - septembre 2020) . - pp 38 - 49[article]Réservation
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[article]
Titre : Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data Type de document : Article/Communication Auteurs : Yi Shi, Auteur ; Junyan Yang, Auteur ; Peiyu Shen, Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] occupation du sol
[Termes IGN] recensement démographique
[Termes IGN] service public
[Termes IGN] Shanghai (Chine)
[Termes IGN] téléphone intelligent
[Termes IGN] utilisation du sol
[Termes IGN] zone urbaineRésumé : (auteur) Some studies have confirmed the association between urban public services and population density; however, other studies using census data, for example, have arrived at the opposite conclusion. Mobile signaling data provide new technological tools to investigate the subject. Based on the data of 20 million 2G mobile phone users in downtown Shanghai and the land use data of urban public service facilities, this study explores the spatiotemporal correlation between population density and public service facilities’ locations in downtown Shanghai and its variation laws. The correlation between individual population density at day vs. night and urban public service facilities distribution was also examined from a dynamic perspective. The results show a correlation between service facilities’ locations and urban population density at different times of the day. As a result, the average population density observed over a long period of time (day-time periodicity or longer) with census data or remote sensing data does not directly correlation with the distribution of public service facilities despite its correlation with public service facilities distribution. Among them, there is a significant spatial correlation between public service facilities and daytime population density and a significant spatial correlation between non-public service facilities and night-time population density. The spatial and temporal changes in the relationship between urban population density and service facilities is due to changing crowd behavior; however, the density of specific types of behavior is the real factor that affects the layout of urban public service facilities. The results show that mobile signaling data and land use data of service facilities are of great value for studying the spatiotemporal correlations between urban population density and service facilities Numéro de notice : A2020-115 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9010038 Date de publication en ligne : 13/01/2020 En ligne : https://doi.org/10.3390/ijgi9010038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94725
in ISPRS International journal of geo-information > Vol 9 n° 1 (January 2020)[article]
Titre : Spatial big data, BIM and advanced GIS for smart transformation Type de document : Monographie Auteurs : Sara Shirowzhan, Éditeur scientifique ; Willie Tan, Éditeur scientifique ; Samad R.E. Sepasgozar, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 166 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03936-031-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] classification barycentrique
[Termes IGN] cycliste
[Termes IGN] données massives
[Termes IGN] modèle orienté agent
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] optimisation (mathématiques)
[Termes IGN] planification urbaine
[Termes IGN] réseau ferroviaire
[Termes IGN] réseau routier
[Termes IGN] secours d'urgence
[Termes IGN] système d'information géographique
[Termes IGN] téléphone intelligent
[Termes IGN] trafic routier
[Termes IGN] ville intelligenteRésumé : (éditeur) This book covers a range of topics including selective technologies and algorithms that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This book also presents an agenda for future investigations to address the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities. Some of selected specific tools presented in this book are as a simulator for improving the smart parking practices by modelling drivers with activity plans, a bike optimization algorithm to increase the efficiency of bike stations, an agent-based model simulation of human mobility with the use of mobile phone datasets. In addition, this book describes the use of numerical methods to match the network demand and supply of bicycles, investigate the distribution of railways using different indicators, presents a novel algorithm of direction-aware continuous moving K-nearest neighbor queries in road networks, and presents an efficient staged evacuation planning algorithm for multi-exit buildings. Note de contenu : 1- Digital twin and cyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
2- An efficient staged evacuation planning algorithm applied to multi-exit buildings
3- A hybrid framework for high-performance modeling of three-dimensional pipe networks
4- Direction-aware continuous moving K-nearest-neighbor query in road networks
5- The distribution pattern of the railway network in China at the county level
6- Data-driven bicycle network analysis based on traditional counting methods and GPS traces from smartphone
7- An agent-based model simulation of human mobility based on mobile phone data: How commuting relates to congestion
8- Heuristic bike optimization algorithm to improve usage efficiency of the station-free bike sharing system in Shenzhen, China
9- An occupancy simulator for a smart parking system: Developmental design and experimental considerationsNuméro de notice : 28440 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03936-031-4 En ligne : https://doi.org/10.3390/books978-3-03936-031-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98877 Crowdsourcing geographic information with a gamification approach / Roberta Martella in Geodetski vestnik, vol 63 n° 2 (June - August 2019)PermalinkIndoor localization for pedestrians with real-time capability using multi-sensor smartphones / Catia Real Ehrlich in Geo-spatial Information Science, vol 22 n° 2 (June 2019)PermalinkPermalinkRTK and PPP-RTK using smartphones: From short-baseline to long-baseline applications / Francesco Darugna (2019)PermalinkTrilateration approaches for seamless out-/indoor GNSS and Wi-Fi smartphone positioning / Guenther Retscher in Journal of applied geodesy, vol 13 n° 1 (January 2019)PermalinkCartographie pour la réflexion sur un périmètre à irriguer dans le Sud Kivu / Anne Girardin in XYZ, n° 155 (juin - août 2018)PermalinkSmartphone‐based close‐range photogrammetric assessment of spherical objects / Inés Barbero‐García in Photogrammetric record, vol 33 n° 162 (June 2018)PermalinkMapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records / Zhang Liu in Transactions in GIS, vol 22 n° 2 (April 2018)PermalinkThe characteristics of asymmetric pedestrian behavior : A preliminary study using passive smartphone location data / Nick Malleson in Transactions in GIS, vol 22 n° 2 (April 2018)PermalinkNavigation des personnes aux moyens des technologies des smartphones et des données d’environnements cartographiés / Fadoua Taia Alaoui (2018)PermalinkConcept of AHRS algorithm designed for platform independent IMU attitude alignment / Dariusz Tomaszewski in Reports on geodesy and geoinformatics, vol 104 n° 1 (December 2017)PermalinkApports et limites des données passives de la téléphonie mobile pour la construction de matrices origine-destination / Patrick Bonnel in Revue d'économie régionale et urbaine, vol 2017 n° 4 (2017-4)PermalinkApplication mobile et Web pour les observatoires photographiques du paysage / Jean-Baptiste Puel in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 22 n° 5 (septembre - octobre 2017)PermalinkEngaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)PermalinkMobilités et numérique sous l'oeil des chercheurs / Françoise de Blomac in DécryptaGéo le mag, n° 182 (décembre 2016)PermalinkPrecision GNSS for everyone: Precise positioning using raw GPS measurements from android smartphones / Simon Banville in GPS world, Vol 27 n° 11 (November 2016)PermalinkDiffuser une alerte aux crues rapides via une application smartphone en France. De la théorie à la mise en pratique / Sekedoua Kouadio in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 4 (juillet - août 2016)PermalinkDéveloppement d'une application Android pour communiquer avec une station totale Leica à l'aide d'une interface GeoCOM : Travail de brevet Technicien en géomatique / D. Meister in Géomatique suisse, vol 114 n° 6 (juin 2016)PermalinkThere's an app for that : using a smartphone for GNSS ionospheric data collection / Andrew Kennedy in GPS world, vol 27 n° 6 (June 2016)PermalinkScalable and privacy-respectful interactive discovery of place semantics from human mobility traces / Natalia Andrienko in Information visualization, vol 15 n° 2 (April 2016)Permalink