1 / 23

The Next Generation of Spatial Data Infrastructures

The Next Generation of Spatial Data Infrastructures. David Coleman, Darka Mioc, Francois Anton, Jianfeng Zhao,Teresa Tang, Ojaswa Sharma Department of Geodesy and Geomatics Engineering University of New Brunswick. Rapid-Response Mapping Systems.

orli
Download Presentation

The Next Generation of Spatial Data Infrastructures

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Next Generation of Spatial Data Infrastructures David Coleman, Darka Mioc, Francois Anton, Jianfeng Zhao,Teresa Tang, Ojaswa Sharma Department of Geodesy and Geomatics Engineering University of New Brunswick

  2. Rapid-Response Mapping Systems In the Next Generation of SDIsSharing may take on a new meaning “Traditional” Web Mapping Systems Authenticating Reliability and then Sharing Updates from Other Projects & Programs Authenticating Reliability and then Sharing Updates, Opinions and Analyses by Individual Citizens

  3. Rapid “Just-in-Time” Mapping Projects • Typically depend upon some data infrastructure (GPS and base mapping) already in place; • Quick turnaround and, in many cases, high-accuracy final product; • Empowering a generation of new users to build new products and services

  4. Enabling Technologies • Real-Time GPS • Controlled Airborne Digital Imagery • High-Resolution Satellite Imagery • Airborne or Ground-based LIDAR • Broadband Wireless Communications • Multi-Representation Database Systems

  5. Examples in… • Road Network Inventory and Updates • Forest Inventory Updating • Municipal Project Mapping • First Nations Land Claims • Mineral Claims • Military Mapping in Canada & Overseas

  6. Road network Inventory and Updates Ojaswa Sharma Darka Mioc Francois Anton Girija Dharmaraj

  7. First Nations Land Claims Mele Rakai Liman Mao Darka Mioc

  8. Sample Website

  9. First Nation Territories Territory_ID Geometry Name Hyperlink Hyperlink

  10. Queries

  11. Query Results

  12. Public Participation GIS David Coleman Jianfeng Zhao Theresa Tang

  13. Traditional methods • Opinion surveys, referendum, focus groups, deliberative polls, citizens’ panels and citizens’ juries… • scheduled meeting time • restricted access to information • Don’t have the same right to speak  Impede public from participation

  14. GIS Public Participation Mapping, Modeling, Managing, Making decisions Participation ladder ’24/7’ access to data and info., Hardware, Software, Humanware Internet Background • PP to “E-Participation” to PPGIS P P G I S

  15. From E-Government to E-Citizenship In the Next Generation of SDIsSharing may take on a new meaning “Traditional” Web Mapping Systems Authenticating Reliability and then Sharing Updates from Other Projects & Programs Authenticating Reliability and then Sharing Updates, Opinions and Analyses by Individual Citizens

  16. web-based GIS Communicates spatial context Integration Enhances effective communication Parking Problems Beaverbrook Street Issues and ideas related to this topic UNB Campus Parking Issues and ideas related to this topic Bus Routes Routes and Schedule Issues and ideas related to this topic • online discussion forum • Documents evolution of ideas and decisions • Supports transparent exchange of views Prototype Mock up (1) Transport

  17. Scenario Downtown Tannery Surveillance

  18. Social networking meets map

  19. ArcIMS based Architecture • GIS functionalities • Spatially-related communication • Sharing of map views and comments • Visualization of participants’ social context • Visualization of participants’ spatial context

  20. How to Integrate these datasets • Datasets like this can offer accurate and timely information, but… • Issues of interoperability, authentication, and institutional communication • Links to multi-representation databases? • Is it time to re-examine the notion of what is meant by provincial or “corporate” base mapping data?

  21. Questions • Are organizations ready to accept this kind of external input and analysis on-line? • What kinds of authentication requirements will be needed? • Will this create a larger “digital divide” between different groups of citizens affected by a given plan or policy?

More Related