Spatial Decisions INNOVATING GEOSPATIAL INTELLIGENCE PLENARY II 17 September 2012. GIS Asia. Hanoi Kapil Chaudhery Spatial Decisions.

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Presentation transcript:

Spatial Decisions INNOVATING GEOSPATIAL INTELLIGENCE PLENARY II 17 September GIS Asia. Hanoi Kapil Chaudhery Spatial Decisions VIETNAM: 68c Tran Quang Dieu, Dong Da, Hanoi INDIA: B30 Kailash Colony, New Delhi

Spatial Decisions  Urbanization. Resource Management. Climate Change  Nature. People. Sustainable Co-existence Issues of Global Concern

Spatial Decisions Role of GeoSpatial Technologies  Document. Analyze. Inform. Communicate  Relate the complex ecosystem of economic-ecological- environmental inter-relations  Support Decision Making

Spatial Decisions Build on Existing Knowledge  Draw upon what already exists.  Share. Collaborate. Innovate

Spatial Decisions Innovate GeoSpatial Solutions  Going beyond the ordinary and routine to provide solutions.  Draw upon multi-sectoral, multi-domain expertise  Stretch our thoughts, exchange ideas, create synergy, create competition  The critical focus is to think and learn.

Spatial Decisions Focus: Creating GeoSpatial Intelligence 1. Understanding of Technology 2. Understanding its role in addressing multi-sectoral current issues 3. Assist in prescribing appropriate solutions, through informed practice Creating a Smarter Use of GIS

Spatial Decisions I. The Foundation  Stronger academic base  More intense applied experience  Synergy of research and applied experience  Build intellectual capacity  Critical role for GIS technology providers  More exchange forums and events  Leading and emerging examples of applied academic understanding of GIS  Training and capacity building programs can support and build on this foundation

Spatial Decisions II. Data. The endless chase  Geospatial data exchange  The data exists but we can’t find it/ get our hands on it  Recreate the same data without adding value  Standardization  Its digital data, but is it useful.  Format, accuracy, scale, detail, attributes  Partnerships between Government and Industry  Sectoral data ownership delivered through commercial data portals  National Spatial Data Infrastructure  Is DATA = POWER ? Decision Power. Money Power?

Spatial Decisions III. Accessible GIS Infrastructure  GIS Software  Affordability. Accessibility  Industry. Lets get it our there.  New Infrastructure  Cloud Computing  Data Portals  Improved GIS Software or ??  Raster GIS  Modeling tools  Analytical tools

Spatial Decisions  Growing efforts at universities to establish and strengthen availability and understanding of technology  Promote efforts to “think” GIS rather than “operate” software  Learning from collaborative partnerships:  Spatial Decisions and Urban Architecture Institute, Vietnam  Spatial Decisions and School of Planning and Architecture, India Creating Academic Capacity

Spatial Decisions The BIG Debate: Open Source Software  Good to have competition  Lowers entry barrier  Allows more innovation  Absence of a mature geospatial applications development industry  Stability of solution  Technical support community  Sustained technological resources to maintain/ upgrade/ and redeploy on changing platforms Unmanaged development environment in the absence of stable technology management makes applications susceptible to instability over long terms

Spatial Decisions What kinds of Innovations  Geospatial solutions and ideas that are beyond  Data Creation  Making maps  That integrate domain knowledge and link that with the GIS technological platform.  GIS-Urban Planning: Examine alternative urban growth models for next 50 years  GIS-Environment: Climate Change Models that are dynamically updated based on recent and current events  GIS-Rural Development: Changing opportunities in agricultural productivity and shifting demand centers  GIS-Water Resources: Managing fresh water from runoff to recharge

Spatial Decisions Ideation!

Spatial Decisions Ideation!

Spatial Decisions Conclusion  Innovation depends on the presence of well founded academic learning and established depth of knowledge, the availability of useful and temporally diverse data without barriers, and the presence of evolving and technologically stronger tools that are more affordable and more available  Data Accessibility  Academic and intellectual fusion in GIS  Appropriate Technology

Spatial Decisions