Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Methods for Mapping Temporal Data
Aileen Buckley
What are the advantages of these maps?
• It is often useful to map spatio-temporal
data dynamically
• Because the varying ...
What are the challenges for these maps?
• This intuitive understanding is countered
by the increased complexity of the
dis...
What we know
• Allow readers a level of interactivity
• The display should transition smoothly
- Show short contiguous tim...
Short contiguous time steps
World Boundaries, 400 AD to Present (by Decade)
Poor example
Short contiguous time steps
World Boundaries, 400 AD to Present (In Sequence)
Good example
Forced neighborhood
U.S. County Population Density, 1800 to Present (by Decade)
Poor example
Forced neighborhood
NetCDF Air Temperature, 1948 to 2013
Good example
Complexity
Zebra Mussels, 1986 to 2011
Poor example
Complexity
Most Populated Cities 1790 - 2000
Good example
Length of time
World Earthquakes, 1970 to 1993 (Over Time)
Poor example
Good example
Length of time
World Earthquakes, 1970 to 1993 (By Magnitude)
Methods for mapping temporal data
Upcoming SlideShare
Loading in …5
×

Methods for mapping temporal data

276 views

Published on

This session will focus on how to effectively communicate the temporal nature of your data through maps designed to be shared in print, on-screen, and online. We also provide some cartographic guidelines for dynamic displays that relate to both the maps and the surrounding map elements, such as graphs, charts, legends, and titles. Through a variety of examples, we demonstrate how ArcGIS can help you to provide greater visual clarity of your temporal data and more aesthetically pleasing visualizations.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Methods for mapping temporal data

  1. 1. Methods for Mapping Temporal Data Aileen Buckley
  2. 2. What are the advantages of these maps? • It is often useful to map spatio-temporal data dynamically • Because the varying nature of the data is intuitively expressed in the changing display Storms in the Atlantic, 1995
  3. 3. What are the challenges for these maps? • This intuitive understanding is countered by the increased complexity of the display • This can lead to lack of understanding or misinterpretation of the data
  4. 4. What we know • Allow readers a level of interactivity • The display should transition smoothly - Show short contiguous time steps - Show data with a “forced” neighborhood • Limit the complexity • Limit the length of time These visualizations are already complex…
  5. 5. Short contiguous time steps World Boundaries, 400 AD to Present (by Decade) Poor example
  6. 6. Short contiguous time steps World Boundaries, 400 AD to Present (In Sequence) Good example
  7. 7. Forced neighborhood U.S. County Population Density, 1800 to Present (by Decade) Poor example
  8. 8. Forced neighborhood NetCDF Air Temperature, 1948 to 2013 Good example
  9. 9. Complexity Zebra Mussels, 1986 to 2011 Poor example
  10. 10. Complexity Most Populated Cities 1790 - 2000 Good example
  11. 11. Length of time World Earthquakes, 1970 to 1993 (Over Time) Poor example
  12. 12. Good example Length of time World Earthquakes, 1970 to 1993 (By Magnitude)

×