CME supports the registration, visualization, and extraction of data from all of these sources. As such, it can assemble the available data for any cell in the imposed grid.
An evidential analysis, devloped in Gister-CL, is used to fuse and interpret the data for a single cell. This analysis utilizes extracted data pertaining to snow, rain, roads, waterways, slope, vegetation, and surface characteristics to estimate mobility; it utilizes estimates of threat types and locations, in addition to data pertaining to clear lines-of-sight, including atmospheric visibility, terrain, vegetation, and buildings, to arrive at a level of threat; finally these two estimates are combined to determine an overall cost. Utilizing Gister's ability to compile analyses, this analysis is converted into a self-contained cost function that takes the various data as arguments and produces the cost as a result.
Utilizing CME, this cost function is densely mapped over the area of interest to produce a cost overlay. Given a route through this area, costs are accumulated along the route to determine its overall risk. In general, risk is highest when there is exposure to threats while mobility is impeded. The best (lowest cost) route between any two points, is efficiently calculated using the F* algorithm. Finally, based upon the terrain model and an aerial photograph of the area, CME synthesizes perspective views of the terrain along the selected routes, resulting in ``drive-through movies'' for visualizing route traversal.