In addition to the statistical summaries described above, ClimateWatcher provides a number of functions for the mathematical analysis of data. ClimateWatcher supports the quantization of an image, i.e., the transformation of the full range of input data values into a small number of discrete values. It also supports both unary and binary mathematical operations on the data. Within an image, users can add, subtract, multiply, or divide all the values in a region or an entire image by a constant. They can also normalize the values in an image, and using the blackbody equation convert energy values to temperature and temperature values to energy.
Binary operations enable users to apply a function at each location in two images.
The binary operators in ClimateWatcher are addition, subtraction, multiplication, division, maximum, minimum, and correlation. The result is displayed in the form of a new visualization. Binary math operations in ClimateWatcher Expressive and constructive visualization. Some of the most powerful learning activities that we have observed students engage in with scientific visualization technologies are those in which they use representational media to express themselves and construct hypothetical scenarios. ClimateWatcher enables students to use scientific visualizations as expressions of their beliefs and hypotheses in three ways.