GISLab (UK) School of Computing and Mathematical Sciences Liverpool John Moores University, UK. Dr. Michael Francis. Keynote Presentation
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1 GISLab (UK) School of Computing and Mathematical Sciences Liverpool John Moores University, UK Dr. Michael Francis Keynote Presentation Dr. Michael Francis North-West GIS Research Laboratory, LJMU, Liverpool, England. 1 GISS: Bringing it Down to Earth 1. Theory issues 2. Trends 3. Controversial ideas 4. Future directions Dr. Michael Francis North-West GIS Research Laboratory, LJMU, Liverpool, England. 2 1
2 Theory Issues Science-based technology helps to shape our lives No technology is more powerful than GISS However, the field of GISS is confused Conventional theory is far different to usual experience There is a need to define the field conceptual cleansing Dr. Michael Francis North-West GIS Research Laboratory, LJMU, Liverpool, England. 3 Trends Dynamic field GIS: dated and constraining concept Move to spatio-temporal information and computing Dr. Michael Francis North-West GIS Research Laboratory, LJMU, Liverpool, England. 4 2
3 Controversial ideas Proprietary GIS development: damaging Move away from fundamental research at a cost! Dr. Michael Francis North-West GIS Research Laboratory, LJMU, Liverpool, England. 5 GeoMedia With Microsoft Virtual Earth Desktops consuming Web services November 6,
4 A contemporary hybrid business architecture Dynamic data re-purposing and fusion (G/Tech) November 6, Integrating information and dynamic, data-driven rendition Coordinated data model and processes GIS A&WM CAD ERP November 6,
5 New ways to publish data Authoritative Sources Interactive 3D Models Georegistered pdf Holographic printing Skyline TerraGo Zebra Imaging November 6, SBInet Scope Airport POE s S Intelligence Analysis CBP Common Operating Picture S Sea port POE s POE Border Patrol Ops Open Source Intelligence Checkpoint POE POE S S S Air & Marine Ops Law Enforcement Sharing S POE POE Intel Preparation of the Border S November 6,
6 Border Station Operators have Full Visibility, Decision Support, and Control Live camera feed and control Event details Real time track prints of targets and agents on sector map Events Pop-up Geospatial presentation of routes, data Asset status, recommended dispatch Streamlined Presentation of Situation with Context Enables High Productivity in the Station November 6, Geo-referencing and draping of live video streams into 3D virtual environments November 6,
7 Simulation Integrated with Command & Control for Emergency Response Training Extended Virtual Environment (EVE) VRML-based virtual environment with object modeling and intelligence Real-time interactive 3D simulation linked to Command & Control Instructor and students can watch the scenario unfold in a 3D world Instructor can inject events using point and click actions November 6, Dam Disaster Human cost, economic cost, long term costs? 7
8 Web GIS & Semantic Web Services 8
9 9
10 10
11 A GIS is MORE than a mapping tool Semantic Web Services? 11
12 IRS-III Services Client DIP WP9 Scenario: Snowstorm Emergency Planning 12
13 Capture user practices Goal oriented Weather spatial specifics Merge heterogeneous data etc 13
14 Response Window Quantity Response Options Time Relevant & Accurate Information Dynamic data sharing/integration Integrated Alarms & Sensors Predictive Analysis & Modelling Disaster Response Management Functions and Actors Breadth of community Fusion Planning, Training & Exercises Incident Management Mutual Aid Public Private Sector Inter- Agency Specific Agency Detect Prevent Prepare Respond Recover 14
15 Command and Control Where is? What is? How is.? When is? Why is? Information, information, information Telephone, radio, voice recorder controls Mapping Data Personnel & Unit Data Access Control CCTV Intelligent Video Radio System Data Telephone Data OPERATOR What s s the Situation? Sensor Data C M 15
16 Integrating Information Web services a possible answer? Individual job functions in disaster response management require specific software tools has lead to fragmented data and IT Integration will remove delays, errors and improves efficiency by coordinating data and processes across multiple source systems to create the actual workflow required. 16
17 Historic response of GIS has been to import external data into the technology expensive, takes time precludes real-time decision support, restricts functionality, difficult to setup and maintain Now it is possible to use web services and loosely coupled computer architectures Why to simplify, to coordinate and collaborate, to improve disaster response management Thanks Questions are Welcomed Dr. Michael Francis 17
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