Methods for Mapping Temporal DataAileen Buckley

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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 expressedin the changing display

Storms in the Atlantic, 1995

What are the challenges for these maps?This intuitive understanding is countered by the increased complexity of the displayThis can lead to lack of understanding or misinterpretation of the data

What we knowAllow readers a level of interactivityThe display should transition smoothlyShow short contiguous time steps Show data with a forced neighborhoodLimit the complexity Limit the length of time

These visualizations are already complex

Short contiguous time stepsWorld Boundaries, 400 AD to Present (by Decade)

Poor example

Short contiguous time stepsWorld Boundaries, 400 AD to Present (In Sequence)

Good example

Forced neighborhoodU.S. County Population Density, 1800 to Present (by Decade)

Poor example

Forced neighborhoodNetCDF Air Temperature, 1948 to 2013

Good example

ComplexityZebra Mussels, 1986 to 2011

Poor example

ComplexityMost Populated Cities 1790 - 2000

Good example

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Length of timeWorld Earthquakes, 1970 to 1993 (Over Time)

Poor example

Good exampleLength of timeWorld Earthquakes, 1970 to 1993 (By Magnitude)