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Geospatial Visualization of Government Data Andrew Turner - @ajturner CTO FortiusOne / GeoCommons

Geospatial Visualization of Government Data

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Page 1: Geospatial Visualization of Government Data

Geospatial Visualization of Government Data

Andrew Turner - @ajturnerCTO FortiusOne / GeoCommons

Page 2: Geospatial Visualization of Government Data

People live and interact with Place

flickr: qwertyuiop

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Geography is a Common Pivot Point

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The role of mapsMaps Reflect & Define Reality

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The role of mapsMaps Reflect & Define Reality“Americus”

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GIS is moving from being map-centric...

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flickr:thomashawk flickr:ayula

...to being Citizen-Centric

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Google Maps & Google Earth

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‘Slippy Maps’ & ‘Virtual Globes’

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Ubiquitous, Inexpensive

Locative Devices

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Neogeography

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The role of mapsGeospatial Visualization in Government

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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

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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

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Federal Enterprise ArchitectureBusiness Reference Model

63%

geo

spat

ial

74%

geo

spat

ialCitizens

Government

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Free and Open Data

U.S. CensusTIGER/Line

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Mean Center Population of the US (1790-2000)

1790: 23 miles east of Baltimore (MD)

• 1800: 18 miles west of Baltimore (MD)

• 1810: 40 miles northwest by west of Washington, DC

• 1820: 16 miles east of Moorefield (VA, now WV)

• 1830: 19 miles west-southwest of Moorefield (VA, now WV)

• 1840: 16 miles south of Clarksburg (VA, now WV)

• 1850: 23 miles southeast of Parkersburg (VA, now WV)

• 1860: 20 miles south by east of Chillcothe (OH)

• 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)*

• 1910: in the city of Bloomington (IN)

• 1920: 8 miles south-southeast of Spencer (IN)

• 1930: 3 miles northeast of Linton (IN)

• 1940: 2 miles southeast by east of Carlisle (IN)

• 1950: 8 miles north-northwest of Olney (IN)

• 1950: 3 miles northeast of Louisville (IL)**

• 1960: 6-1/2 miles northwest of Centralia (IL)

• 1970: 5 miles east-southeast of Mascoutah (IL)

• 1980: 1/4 mile west of DeSoto (MO)

• 1990: 10 miles southeast of Steelville (MO)

• 2000: 3 miles east of Edgar Springs (MO)

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Mean Center Population of the US (1790-2000)

U.S. Dept of Commerce, Economics and Statistics Administration U.S. Census Bureau

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GeoEnablement

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Geographic Context Example Elementsaddress (physical)address (postal)areabearingbearingscitycommunitycompasscountrydirectiondistancedistrictdomicile

eventfacilitygeographyhousehouseholdincidentlatitudelocalelocalitylocatelocationlongitudeneighborhoodpinpointplace

pointportpositionpostpropertyregionreservationresidenceriver reachroutescenesitesituationspacespot

stationstreetsuburbterrainterritorytopographytowntractvenuevicinityvillagewatershedwherewhereaboutsZIP code

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GeoReferencing: Geocoding

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GeoReferencing: Spatial Join

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

links: http://delicious.com/tags/ogi09

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

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Transparency & Accountability

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Unemployment

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MultiLayered Thematic

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

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Spatial Correlation

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“Heat Maps”

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

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Daytime Crime

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Nighttime Crime

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

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AreYouSafe DC

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Thematic

Analytic

Temporal

Mobile

3D

Types ofVisualizations

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uuorld

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Citizen Driven Exploration

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Engagement through Participation

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Engagement through Participation

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Citizen Driven Visualization

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Citizen Driven Visualization

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Citizen Driven Visualization

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Citizen Driven Visualization

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Citizen Driven Visualization

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Citizen Driven Visualization

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Citizen Driven Visualization

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Participation, Collaboration & Feedback Loops

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Agency

Agency

Agency

Transparency

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Agency

Agency

Agency

Transparency

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Agency

Agency

AgencyCitizen

Transparency

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Agency

Agency

AgencyCitizen

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Agency

Agency

Agency

Citizen

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Agency

Agency

Agency

Citizen

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Agency

Agency

Agency

Citizen

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Agency

Agency

Agency

Citizen

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Agency

Agency

Agency

Citizen

Participation

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Agency

Agency

Agency

Citizen

Community

Participation

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Agency

Agency

Agency

Citizen

Community

Participation

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Agency

Agency

Agency

Citizen

Community

Collaboration

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Agency

Agency

Agency

Citizen

Community

Collaboration

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Agency

Agency

Agency

Citizen

Community

Collaboration

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Agency

Agency

Agency

Citizen

Community

Collaboration

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Agency

Agency

Agency

Citizen

Community

Collaboration

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Maps as Social Objects

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Analyzing Usage

Education

Environment

Population

Health

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Analyzing Usage

Education

Environment

Population

Health

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Crisis Response: San Diego Wildfires

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Crisis Response: San Diego Wildfires

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Crisis Response: San Diego Wildfires

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Key Points of Geospatial Visualization

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Key Points of Geospatial Visualization

•Open Data in Open Formats

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

•Encourage Exploration and Collaboration

Page 77: Geospatial Visualization of Government Data

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

Page 78: Geospatial Visualization of Government Data

Thank you

Andrew Turnere: [email protected]: http://highearthorbit.comt: @ajturnerm: 248-982-3609

delicious.com/tags/ogi09