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Geospatial Visualization of Government Data



                Andrew Turner - @ajturner
           CTO FortiusOne / GeoCommons
People live and interact with Place




flickr: qwertyuiop
Geography is a
Common Pivot Point
The role of maps
Maps Reflect & Define Reality
“Americus”
                       The role of maps
             Maps Reflect & Define Reality
GIS is moving from being map-centric...
flickr:thomashawk             flickr:ayula




                   ...to being Citizen-Centric
Google Maps & Google Earth
‘Slippy Maps’ & ‘Virtual Globes’
Ubiquitous,
    Inexpensive
Locative Devices
Neogeography
Geospatial Visualization in role of maps
                       The Government
Federal Enterprise Architecture (FEA)




      “ The purpose of the FEA is to
        transform government such that it
        becomes citizen-centered, results
        oriented, and market-based. ”
                        OMB Circular 30
Geo-Enablement: Potential


“The coupling of geospatial data, services and
 technologies with conventional data, services
 and technologies can be one of the most
 significant enablers of improved decision making
 within business operations. 

 It increases performance of key mission
 requirements across all levels of governments.  ”
                       FGDC FEA Geospatial Profile
Federal Enterprise Architecture
  Business Reference Model

                       Citizens




                                    74% geospatial
63% geospatial




                     Government
Free and Open Data




                     U.S. Census
                     TIGER/Line
Mean Center Population of the US (1790-2000)
  1790: 23 miles east of Baltimore (MD)             • 1910: in the city of Bloomington (IN)
• 1800: 18 miles west of Baltimore (MD)             • 1920: 8 miles south-southeast of Spencer (IN)
• 1810: 40 miles northwest by west of               • 1930: 3 miles northeast of Linton (IN)
  Washington, DC                                    • 1940: 2 miles southeast by east of Carlisle (IN)
• 1820: 16 miles east of Moorefield (VA, now WV)    • 1950: 8 miles north-northwest of Olney (IN)
• 1830: 19 miles west-southwest of Moorefield       • 1950: 3 miles northeast of Louisville (IL)**
  (VA, now WV)
                                                    • 1960: 6-1/2 miles northwest of Centralia (IL)
• 1840: 16 miles south of Clarksburg (VA, now
                                                    • 1970: 5 miles east-southeast of Mascoutah (IL)
  WV)
                                                    • 1980: 1/4 mile west of DeSoto (MO)
• 1850: 23 miles southeast of Parkersburg (VA,
  now WV)                                           • 1990: 10 miles southeast of Steelville (MO)

• 1860: 20 miles south by east of Chillcothe (OH)   • 2000: 3 miles east of Edgar Springs (MO)

• 1870: 48 miles east by north of Cincinnati (OH)
• 1880: 8 miles west by south of Cincinnati (OH)
• 1890: 20 miles east of Columbus (IN)*
• 1900: 6 miles southeast of Columbus (IN)*
Mean Center Population of the US (1790-2000)




  U.S. Dept of Commerce, Economics and Statistics Administration U.S. Census Bureau
GeoEnablement
Geographic Context Example Elements
address      event          point         station
(physical)   facility       port          street
address      geography      position      suburb
(postal)
             house          post          terrain
area
             household      property      territory
bearing
             incident       region        topography
bearings
             latitude       reservation   town
city
             locale         residence     tract
community
             locality       river reach   venue
compass
             locate         route         vicinity
country
             location       scene         village
direction
             longitude      site          watershed
distance
             neighborhood   situation     where
district
             pinpoint       space         whereabouts
domicile
             place          spot          ZIP code
GeoReferencing: Geocoding
GeoReferencing: Spatial Join
3D                Thematic




                 Types of
Mobile        Visualizations         Analytic




                Temporal


                           links: http://delicious.com/tags/ogi09
3D                Thematic




                 Types of
Mobile        Visualizations     Analytic




                Temporal
Transparency &
  Accountability
Unemployment
MultiLayered Thematic
3D                Thematic




                 Types of
Mobile        Visualizations     Analytic




                Temporal
Spatial Correlation
“Heat Maps”
3D                Thematic




                 Types of
Mobile        Visualizations     Analytic




                Temporal
Daytime Crime
Nighttime Crime
3D                Thematic




                 Types of
Mobile        Visualizations     Analytic




                Temporal
AreYouSafe DC
3D                Thematic




                 Types of
Mobile        Visualizations     Analytic




                Temporal
uuorld
Citizen Driven Exploration
Engagement
through Participation
Engagement
through Participation
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Citizen Driven
 Visualization
Participation, Collaboration & Feedback Loops
Agency




Agency




Agency


         Transparency
Agency




Agency




Agency


         Transparency
Agency




Agency




Agency
         Citizen

         Transparency
Agency




Agency




Agency
         Citizen
Agency




Agency   Citizen




Agency
Agency




Agency   Citizen




Agency
Agency




Agency   Citizen




Agency
Agency




Agency   Citizen




Agency
Agency




Agency   Citizen




Agency


         Participation
Agency   Community




Agency    Citizen




Agency


          Participation
Agency   Community




Agency    Citizen




Agency


          Participation
Agency   Community




Agency    Citizen




Agency


          Collaboration
Agency   Community




Agency    Citizen




Agency


          Collaboration
Agency   Community




Agency    Citizen




Agency


          Collaboration
Agency   Community




Agency    Citizen




Agency


          Collaboration
Agency   Community




Agency    Citizen




Agency


          Collaboration
Maps as Social Objects
Analyzing Usage

                   Education


                  Environment


                  Population


                    Health
Analyzing Usage

                   Education


                  Environment


                  Population


                    Health
Crisis Response: San Diego Wildfires
Crisis Response: San Diego Wildfires
Crisis Response: San Diego Wildfires
Key Points of Geospatial Visualization
Key Points of Geospatial Visualization

•Open Data in Open Formats

•User-Centric, Domain-Centric, Easy to use interfaces

•Encourage Exploration and Collaboration
Key Points of Geospatial Visualization

•Open Data in Open Formats

•User-Centric, Domain-Centric, Easy to use interfaces

•Encourage Exploration and Collaboration




     FGDC FEA Geospatial Profile - January 27, 2006
Thank you
Andrew Turner
e: andrew@fortiusone.com
b: http://highearthorbit.com
t: @ajturner
m: 248-982-3609

delicious.com/tags/ogi09

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Geospatial Visualization of Government Data