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Geospatial Data Access and Visualization

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Allow for the development of a distributed infrastructure ... Pendent approval of WFS & SLD specification. Online availability of many new WMS servers ... – PowerPoint PPT presentation

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Title: Geospatial Data Access and Visualization


1
Geospatial Data Access and Visualization
  • Dave McIlhagga
  • President
  • DM Solutions Group Inc.

2
DM Solutions Group
  • Company History
  • Involvement with OGC and CGDI

3
Goals of OGC Data Visualization Access Standards
  • Provide a language for interoperability
  • Allow for the development of a distributed
    infrastructure
  • Both goals are central to a successful CGDI

4
Web Map Server Specification
  • Provides an HTTP-based API for requesting
    graphical rendering of spatial data
  • Allows for Map overlays to occur from remote map
    servers

5
WMS Concept
Open GIS Consortium
Spatial connectivity
for a changing world.

6
Styled Layer Descriptors
  • Complementary specification to WMS that allows
    for client control of rendering
  • Examples include point symbology, colours, line
    thickness, etc.

7
Web Feature Server
  • Allows for the sharing of raw vector data in the
    form of Geographic Markup Language (GML)
  • Will become a critical component of the
    underlying CGDI infrastructure

8
A Sample of Organizations Providing CGDI Content
  • Centre For Topographic Information (CTI)
  • National Forest Information System (NFIS)
  • Canada Centre for Remote Sensing (CCRS)

9
Applications using CGDI Visualization and Access
Services
  • Make-A-Map DM Solutions Group
  • Trailpaq Go for Green
  • Gazetteer - CCRS

10
Evolving Infrastructure to Support Data Access
Visualization
  • Past year has seen important developments
  • Availability of CTI Data
  • Launch of inaugural Production Applications
  • Pendent approval of WFS SLD specification
  • Online availability of many new WMS servers

11
Using and Contributing to CGDI Data Access and
Visualization
  • Incorporate CGDI data through interoperable
    standards into applications
  • Publish datasets by appropriate standards
  • Note This can all be complementary to your
    existing infrastructure
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