GIS in the Rockies Presentation
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GIS in the Rockies Presentation

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This is a presentation that a colleague of mine gave out at GIS in the Rockies earlier this year. I repurposed it for a GeoDC Events last night. Enjoy and please let me know if you have any questions.

This is a presentation that a colleague of mine gave out at GIS in the Rockies earlier this year. I repurposed it for a GeoDC Events last night. Enjoy and please let me know if you have any questions.

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    GIS in the Rockies Presentation GIS in the Rockies Presentation Presentation Transcript

    • GIS for the ‘have-nots’: A case study in a small Colorado ‘Mayberry’
    • GIS for small municipalities: A big problem
      138 “Mayberrys” in the state of Colorado with populations of 1500 or less
      Characteristics of these towns: “One Bullet”
      GIS: too costly to start much less maintain:
      ESRI small government EULA most likely out of reach for these towns
      High cost of data collection and maintenance
      Staffing and O&M
      Cost of data/data collection
      “If we have one bullet…we spend it on public works”
    • The impacts
      Emergency response
      Public Works
      City Administration
      Reliance on hard copy data (parcels, lots, etc…)
      This stuff changes or worse -disappears!
      Hard to update
      No basis from which to plan and share information for disaster/event response
      The Hayman Fire: A view from Mayberry
      Significant Snow Events
      Mayberry has the same GIS needs as Denver – but right sized
    • Requirements
      So what would a GIS for Mayberry look like?
      Low/No O&M burden on the town
      Requires no staffing
      Minimal training curve
      Low/No Cost for data
      Provides ability to share information
      And…provides a core GIS capability to town staff for day to day business
      If I just had access to a good web based GIS, with no training or O&M – I could fish more…
      A simple, straight forward architecture that I can get to on a browser
    • Mayberry: Green Mountain Falls, CO
      Located West of Colorado Springs on Hwy 24
      Surrounded by Pike National Forest
      Population 966
      Government
      One full time Clerk
      One full time Public Works Coordinator
      2.6 Police (Marshall)
      Volunteer Fire Dept
      IT infrastructure
      4 PCs with cable internet
      Standard office install with IE
      Expertise…you guess.
      Trivia: Most Bigfoot sightings in Colorado have occurred within 5 mi of GMF
    • GIS for Green Mountain Falls: The Approach
      We identified the problem
      Mayberry needs a GIS
      We opted for a web-centric solution and common tools
      Common tools minimize the training curve
      We enlisted help (lots of help)
      We hosted it externally
      Removes local O&M and staffing needs
      Provides for failover
      External Host
    • Help!
      Boy Scouts of America
      Trail network mapping
      El Paso/Teller 911
      Road Center Line and Address data
      Trimble Navigation
      GPS training and equipment
      GeoCommons
      The GeoIQ platform that provides a fully virtual means of storing spatial data, creating and serving maps and providing means to customize analysis, access and dissemination of spatial data
      Zekiah Technologies
      Software Development collaboration between FortiusOne and Zekiah
    • The approach
      Beg, borrow, (I would not Steal) data
      Make use of data from town plan
      E/T 911
      CDOW
      CDOT
      GeoCommons
      SW ReGAP
      Collect
      Upload to GeoCommmons
      Apply appropriate role based access rules
      Build maps based on user rules
      Customize interface for GMF
      Share
    • Architecture
    • What we wound up with…(demo)
    • It worked for Green Mountain Falls but…
      The Mayberrys of the nation are underserved in the GIS market
      How to make it work for your Mayberry in the meantime:
      Keep it simple -use a web approach
      Build your coalition
      Academia, Business, Individuals NGOs
      Be willing to borrow, be willing to share data and technology
      Maximize use of free data
      Maximize relationships with NGOs and other not for profits to obtain and collect data
      Partnerships
      Scouts
      Trail Coalitions
      Academia
      Open street map and other mapping parties
      Not every town has an aggressive trustee