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DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)

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Presentation on theme: "DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)"— Presentation transcript:

1 DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)

2 DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)

3 DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes) http://www.informationisbeautiful.net/visualizations/billion-dollar-o-gram-2013/

4 DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)

5 DATA VISUALIZATION Visual representations of quantitative data in schematic form (either with or without axes)

6 INFORMATION VISUALIZATION The use of interactive visual representations of data to amplify cognition. This means that data is transformed into an image and it is mapped to screen space. The image can be changed by users as they proceed working with it. http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html

7 INFORMATION VISUALIZATION The use of interactive visual representations of data to amplify cognition. This means that data is transformed into an image and it is mapped to screen space. The image can be changed by users as they proceed working with it. http://www.nytimes.com/packages/html/newsgraphics/2011/0119-budget/index.html

8 CONCEPT/SCIENTIFIC VISUALIZATION Methods to elaborate (mostly) qualitative concepts, ideas, plans, and analyses.

9 CONCEPT/SCIENTIFIC VISUALIZATION Methods to elaborate (mostly) qualitative concepts, ideas, plans, and analyses.

10 STRATEGY VISUALIZATION The systematic use of complementary visual representations in the analysis, development, formulation, communication, and implementation of strategies in an organization.

11 STRATEGY VISUALIZATION The systematic use of complementary visual representations in the analysis, development, formulation, communication, and implementation of strategies in an organization. Division Chief Conservation Programs and Special Designations National Rivers Programs Wild and Scenic Rivers Hydropower Assistance Cooperative Watershed Initiatives (Blueways, Urban Rivers) National Water Trails National WSR, Hydro, Blueways & NWTs teams National Trails Programs National Scenic and Historic Trails (long distance) National Recreation Trails (community based) Connect Trails to Parks (CTTP) Grant Program Geospatial and Data Support (shared w/SLA) Federal Interagency Trails Council & NSHT Superintendents Community Assistance and Urban Programs Groundwork /Community Conservation Partnership ( EPA) NPS Urban Strategy Development and Support R ivers, Trails & Conservation Assistance Program Urban Initiatives Support (RDI, community engagement, partnerships) Communications, Web/Social Media and Outreach Transportation and Access (C2A 4, HUD, DOT) Challenge Cost Share Grant Program (CCSP) Community Collaboration and Engagement (training, networking) RTCA Program Leads & C2A Teams National Urban Parks & Programs Strategy Team, C2A Teams Office of Outdoor Recreation Recreation Planning and Policy Coordination FICOR Interagency recreation coordination & support National Recreation Partnerships (park assistance for planning and management ) America’s Great Outdoors Initiatives support FICOR and Interagency Visitor Management Councils Outdoor Recreation Benefits Youth and Fellows Program Support (21CSC, ON, C&NN) Health/Recreation Partnerships (HHS, CDC etc) Tourism Partnership Coordination WSTPC, SETPC, Nat Geo, Rec.gov etc) National Tourism Policy, DOI Youth Councils Fiscal /Business Operations Administrative Support (shared with SLA)

12 METAPHOR VISUALIZATION Visual metaphors position information graphically to organize and structure information. They also convey an insight about the represented information through the key characteristics of the metaphor that is employed.

13 COMPUTATIONAL FOCUSvs.COGNITIVE FOCUS http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/ Semi-structured data

14 http://www.youtube.com/watch?feature=player_embedded&v=_EWOrZQ3L-c COMPOSITE VISUALIZATIONS The complementary use of different graphic representation formats in one single schema or frame.

15 http://www.visual-literacy.org/periodic_table/periodic_table.html

16 COMPUTATIONAL FOCUSvs.COGNITIVE FOCUS 4 models used to describe the greenhouse effect 1.Bouncing Model (42%) 2.Greenhouse Model 3.Ozone Model 4.Mixed Model 5.Scientific Model (29%)

17 COMPUTATIONAL FOCUSvs.COGNITIVE FOCUS Visual message can be easily lost when you try and convey “completely” correct information. (The INFO to INK ratio should be high)

18 FUNDAMENTAL CARTOGRAPHIC ELEMENTS IN VISUALIZATIONS OF NON-GEOGRAPHIC DATA Distance (similarity) Arrangement (dispersion and concentration) Scale (changing level of detail) TREE MAP vs. NETWORK

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