Creating Predictive Surfaces in Manifold

Visualizing Temperatures Across Canada

We can visualize temperatures a variety of ways, one of them being a predicted surface. The problems with using predictive analysis come to fruition when choosing a method to fill in the gaps in data.

In this example, Manifold is used to analyze temperatures in random cities across Canada. Since there is little real data to work with (a handful of temperature point data), a predictive surface must be made to fill in the gaps. The figure below shows a layout prepared in Manifold with a surface created by kriging. (Please click on the image for a larger version)

Figure 1 - Predicted Temperature Surface for Canada

From the above map, one may visualize the temperatures across Canada. For example, across Ontario, temperatures are relatively mild, while coastal provinces are experiencing a warm front.