LEADER 02952nam 2200385 450 001 9910412353203321 005 20230819072628.0 035 $a(CKB)5280000000243445 035 $a(NjHacI)995280000000243445 035 $a(EXLCZ)995280000000243445 100 $a20230819d2019 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEM-GIS 2019 $eproceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management (EM-GIS 2019) : November 5th, 2019, Chicago, IL, USA /$fHui Zhang, Yan Huang, Jean-Claude Thill 210 1$aNew York, New York :$cAssociation for Computing Machinery,$d2019. 215 $a1 online resource (103 pages) $cillustrations 311 $a1-4503-6965-0 330 $aEmergency management is the creation of plans through which communities decrease the impact of disasters and prevent from unexpected events (i.e., human or natural disasters). By quick response and rescue, it saves human lives from the secondary disasters and enhances the stability of communities after disasters. Emergency management involves four stages: Planning and Mitigation, Preparedness, Response and Recovery. Geospatial applications (including GIS) have been extensively used in each stage of emergency management. GIS provides reliable support for spatial analysis and decision-making in emergency management. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (ACM SIGSPATIAL 2019), the twenty seventh edition, will be held in Chicago, November 5-8, 2019. All workshops will be held on November 5, 2019 at the conference hotel. The purpose of the EMGIS 2019 workshop is to provide a forum for researchers and practitioners to exchange ideas and progress in related areas. This workshop in the ACM SIGSPATIAL conference addresses the challenges of emergency management based on advanced GIS technologies. This workshop will bring together researchers and practitioners in massive spatiotemporal data management, spatial database, spatial data analysis, spatial data visualization, data integration, model integration, cloud computing, parallel algorithms, internet of things, complex event detection, optimization theory, intelligent transportation systems and social networks to support better public policy through disaster detection, response and rescue. 606 $aEmergency management$vCongresses 606 $aEmergency management$xGeographic information systems$vCongresses 615 0$aEmergency management 615 0$aEmergency management$xGeographic information systems 676 $a363.34 700 $aZhang$b Hui$0792001 702 $aHuang$b Yan 702 $aThill$b Jean-Claude 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910412353203321 996 $aEM-GIS 2019$93473684 997 $aUNINA