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Auteur Tao Hu |
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Human mobility and COVID-19 transmission: a systematic review and future directions / Mengxi Zhang in Annals of GIS, vol 28 n° 4 (November 2022)
[article]
Titre : Human mobility and COVID-19 transmission: a systematic review and future directions Type de document : Article/Communication Auteurs : Mengxi Zhang, Auteur ; Siqin Wang, Auteur ; Tao Hu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 501 - 514 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] corrélation automatique de points homologues
[Termes IGN] données spatiotemporelles
[Termes IGN] épidémie
[Termes IGN] hétérogénéité spatiale
[Termes IGN] littérature
[Termes IGN] maladie virale
[Termes IGN] mobilité humaine
[Termes IGN] mobilité territoriale
[Termes IGN] modèle dynamique
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] régression linéaireRésumé : (auteur) Without a widely distributed vaccine, controlling human mobility has been identified and promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies have reported the relationship between human mobility and COVID-19 transmission by utilizing the spatial-temporal information of mobility data from various sources. To better understand the role of human mobility in the pandemic, we conducted a systematic review of articles that measure the relationship between human mobility and COVID-19 in terms of their data sources, mathematical models, and key findings. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we selected 47 articles from the Web of Science Core Collection up to September 2020. Restricting human mobility reduced the transmission of COVID-19, although the effectiveness and stringency of policy implementation vary temporally and spatially across different stages of the pandemic. We call for prompt and sustainable measures to control the pandemic. We also recommend researchers 1) to enhance multi-disciplinary collaboration; 2) to adjust the implementation and stringency of mobility-control policies in corresponding to the rapid change of the pandemic; 3) to improve mathematical models used in analysing, simulating, and predicting the transmission of the disease; and 4) to enrich the source of mobility data to ensure data accuracy and suability. Numéro de notice : A2022-863 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2022.2041725 Date de publication en ligne : 03/03/2022 En ligne : https://doi.org/10.1080/19475683.2022.2041725 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102153
in Annals of GIS > vol 28 n° 4 (November 2022) . - pp 501 - 514[article]Bridging open source tools and geoportals for interactive spatial data analytics / Bing She in Geo-spatial Information Science, vol 22 n° 3 (August 2019)
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Titre : Bridging open source tools and geoportals for interactive spatial data analytics Type de document : Article/Communication Auteurs : Bing She, Auteur ; Tao Hu, Auteur ; Xinyan Zhu, Auteur ; S. Bao, Auteur Année de publication : 2019 Article en page(s) : pp 185 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse spatiale
[Termes IGN] code source libre
[Termes IGN] géoportail
[Termes IGN] Python (langage de programmation)
[Termes IGN] WebSIGRésumé : (Auteur) Geoportals have been the primary source of spatial information to researchers in diverse fields. Recent years have seen a growing trend to integrate spatial analysis and geovisual analytics inside Geoportals. Researchers could use the Geoportal to conduct basic analysis without offline processing. In practice, domain-specific analysis often requires researchers to integrate heterogeneous data sources, leverage new statistical models, or build their own customized models. These tasks are increasingly being tackled with open source tools in programming languages such as Python or R. However, it is unrealistic to incorporate the numerous open source tools in a Geoportal platform for data processing and analysis. This work provides an exploratory effort to bridge Geoportals and open source tools through Python scripting. The Geoportal demonstrated in this work is the Urban and Regional Explorer for China studies. A python package is provided to manipulate this platform in the local programming environment. The server side of the Geoportal implements a set of service endpoints that allows the package to upload, transform, and process user data and seamlessly integrate them into the existing datasets. A case study is provided that illustrated the use of this package to conduct integrated analyses of search engine data and baseline census data. This work attempts a new direction in Geoportal development, which could further promote the transformation of Geoportals into online analytical workbenches. Numéro de notice : A2019-327 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1645497 Date de publication en ligne : 29/07/2019 En ligne : https://doi.org/10.1080/10095020.2019.1645497 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93332
in Geo-spatial Information Science > vol 22 n° 3 (August 2019) . - pp 185 - 192[article]A multi-granularity parallel model for unified remote sensing image processing webservices / W. Guo in Transactions in GIS, vol 16 n° 6 (December 2012)
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Titre : A multi-granularity parallel model for unified remote sensing image processing webservices Type de document : Article/Communication Auteurs : W. Guo, Auteur ; Xinyan Zhu, Auteur ; Tao Hu, Auteur ; Liwei Fan, Auteur Année de publication : 2012 Article en page(s) : pp 845 - 866 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] granularité d'image
[Termes IGN] informatique en nuage
[Termes IGN] logiciel libre
[Termes IGN] partage de données localisées
[Termes IGN] plateforme logicielle
[Termes IGN] processus spatio-temorel
[Termes IGN] service web géographique
[Termes IGN] traitement d'image
[Termes IGN] traitement parallèleRésumé : (Auteur) The growth of the Web has resulted in the Web-based sharing of distributed geospatial data and computational resources. The Geospatial Processing Web (GeoPW) described here is a set of services that provide a wide array of geo-processing utilities over the Web and make geo-processing functionalities easily accessible to users. High-performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high-performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi-granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI-oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub-models. In addition, interfaces, definitions, parallel task scheduling and fault-tolerance mechanisms are described in detail. Based on the model and methods, we propose an open-source online platform named OpenRS-Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi-granularity parallel model for unified remote sensing image processing web services. Numéro de notice : A2012-618 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01367.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01367.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32064
in Transactions in GIS > vol 16 n° 6 (December 2012) . - pp 845 - 866[article]