Topic:
Scientific Visualization
OVERVIEW and OBJECTIVES
The point of scientific visualization is to enhance your
understanding of your data, as well as to provide you with new insights that
won't come by standard numerical statistics alone.
Visualization takes many forms: static or dynamic; from
one-dimensional to n-dimensional; monocular or stereo. In the following we
present a variety of methods for allowing you to garner more information by
looking at your data.
In this module we take a look at techniques for visualizing your
data, and follow that with some exploratory techniques for investigating
spatial autocorrelation.
OBJECTIVES:
Those who successfully complete the module should
- have an acquaintance with various plot types, e.g.
- histograms
- scatterplots
- point plots
- image plots
- contour plots
- perspective plots
- understand various plotting techniques: the uses of
- color, symbol, symbol size
- stereo
- linked plots
- movies to represent time, or a fourth dimension
- appreciate some visual aspects of spatial autocorrelation, and some
methods of modelling it.
SCENARIOS FOR DISCUSSION
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