GEOG 581: Cartography Design

GeoVisualization

GIS PLANET 2005 http://www.gisplanet.org/

International Board consists of relevant worldwide representatives from the institutional, industry and user communities.

Group project update

	Group 1. Visualization of change of population in San Diego County (Ken, Fred, Tod)
	Group 2. Relocation of the San Diego International Airport (Rosanna, Addie, Lauren, and Pillip)
	Group 3. Ecological Fallacy: A Comparative Analysis of Census Block Groups and Census Tracts. (Erica, Ahmed, and Merrilee).
	Group 4. Otay Reservoir Assessment (Jing-Yi, Phillip, and David)
	Group 5. Trails of Yosemite National Park (Asia, Andy, and Jennifer)
	Group 6.  Safe mover guide (Matt and Alvaro).

GVIS:  Facilitating Visual Thinking:  search for unknown, real-time interaction with spatial information., and individual control over the map display process (MacEachren, p. 361).

First level: Feature Identification (Feature ID)

First level: Feature Identification (Feature ID): include both recognition of anticipated features and noticing of unanticipated features. (Visualization should facilitate both).  (which one is more interesting?)

Feature ID = pattern-matching model ---  scientists (and humans in general) make decisions by matching present situations against a collection of patterns representing past experiences and knowledge.

For example, the 2004 Presidential election in California, San Diego.

(Image source: http://www.princeton.edu/~rvdb/JAVA/election2004/)

Seeing --> Hypothesis --> Reasoning Why

Space and time are indispensable variables. (help the GVIS).  Expanding the dimensions of an indispensable variable will make representating high dimentional data more successful.

3D representation:

2.5 D for temperature vs. 2D (isoline) for temperature.

(However, both 2.5D and true 3D display have two problems:  hidden areas and scale change (front vs. back).

Possible solution: more interactively change the view angles...

Other cases (to help or affect the feature identification)

Time (temporal changes)

Scale-dependent (small pictures vs. large pictures)

Resolution-dependent (high resolution vs. low resolution).

Second Level: Find out

the Relationships among features  (in space and time)

Feature comparison: looking for relationships in multidimensional data

(compare the population density vs. housing price)

cross-table, row-column, matrix analysis..

(compare the presidential elections between LA vs San Diego)

Use orientation or color to facilitate the comparison.

Orientation Examples: http://www.visn-x.net/nx2/21/08.html , http://www.rhodium-consulting.com/node10.html

 Color Example:  Dr. Cindy Brewer's color scheme: http://www.personal.psu.edu/faculty/c/a/cab38/ColorBrewerBeta.html

Complex situation: Dynamic Space-Time multidimensional process (STFA): if a problem has both spatial and temporal components, visualization tools that do not take both into account have the potential to do more harm than good.

Final Step: GVIS for Human Decision Making:

private or public truth?

Private information level: how to judge the quality (truth) of the GVIS display?

Public Level: What is the truth in the context of GVIS?

What are the future direction for Geovisualization?  Any suggestions or topics?

NO CLASS on Thursday.