CV5-1 - Computational issues in cartography and visualization
You are currently viewing an archived version of Topic Big Data Visualization.
If updates or revisions have been published you can find them at Big Data Visualization.
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Computational issues in cartography and visualization. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Explain how the concept “digital cartographic models” unifies a number of principles for computer cartography
Identify areas in cartography and visualization that have, and those that have not, advanced because of computational approaches
Explain how the rise of interoperability and open standards has affected the production of cartographic representations and visualizations
Explain how optimization techniques are improving the automated design of maps
Describe the structure and function of geographic names databases (i.e., gazetteer) for use in mapping
Differentiate between GIS and graphics software tools for mapping and those for visualization purposes
You are currently viewing an archived version of Topic Big Data Visualization. If updates or revisions have been published you can find them at Big Data Visualization.
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Computational issues in cartography and visualization. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).