Topic:

Presenter: Dr. Andrew Long

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.

• Scenario 1
• Scenario 2