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Author (up) Jana Kaeppler pdf  openurl
  Title GIS4EM Multi-Tenanted Approach toAGOL Applications for EmergencyManagement (Mackenzie, Hurunui andKaikoura District Councils, NewZealand) Type Conference Article
  Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018  
  Volume Issue Pages 233-245  
  Keywords GIS, AGOL Solutions, Emergency Management, Mackenzie, New Zealand  
  Abstract With the Hurunui (HDC), Mackenzie (MDC) and Kaikoura (KDC) District Councils sharing their Geographic Information Systems (GIS) and Information Technology (IT) resources since 2017 it was decided to work on a GIS strategy for Emergency Management (EM) that would be applicable for all three councils as in the past geospatial skills and tools did not get equally utilised at all three councils during emergency and training events. ArcGIS Online (AGOL) was chosen as a common platform for a fully cloud based approach to the new Emergency Management Applications. The core modules of these applications are Story maps, WebApp Builder, Survey123, Operations Dashboard, Workforce and AppStudio. The development of these applications is a work-in-progress situation which is driven by the constant conversation and testing between the GIS person and the Emergency Management (EM) officers and a work flow is being developed to integrate these applications into the existing Emergency Operations Centre (EOC) picture. We believe once finalised this set of applications will add great functionality to New Zealand's Coordinated Incident Management System (CIMS) by providing interactive and cloud based visual geospatial information, situational awareness, forecasting, task management and task tracking.  
  Address Hurunui District Council  
  Corporate Author Thesis  
  Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Track Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making Expedition Conference  
  Notes Approved no  
  Call Number Serial 1675  
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