Four raster-based exposure levels were defined, with level 4 representing the highest traffic density.
The program enables a separate calculation of three raster types consisting only of plain surfaces, a raster consisting of cylinder surfaces and rasters combined.
For the initial setup of the "AschFlow" model, three raster maps are required: i) The first raster map defines the topography of the terrain in a DEM form.
For the eight proximity variables, the minimum Euclidean distance to each feature was calculated in ArcGIS and eight raster maps were produced.
To make this more clear, a new map was created with only two raster categories, grouping all positive values to one and all negative to another (see Fig. 3g for the component 5 as an example).
In one of Woo's favorites, a contributor by the name of Ryan Terrill submitted a visualization in which he tried to "map two raster layers [pixel-based graphics] on top of each other" but accidentally plotted the values against each other.
For retinal imaging, six raster scans with orthogonal fast scan axis orientation (horizontal and vertical) each consisting of 700 × 700 axial scans requiring an acquisition time of ~5 seconds for each raster (~30 seconds total) were acquired.
An NLCD change map was created from the 2001 and 2006 NLCD by computing the difference between the two raster images, which provided a preliminary change layer coded with from/to conversions.
For example, where at least two raster datasets identify that a landscape change occurred at a specific location, there are also adjacent pixels from each dataset that do not spatially align with each other.
For anterior eye and full eye length imaging, two raster scans with orthogonal fast scan axes (horizontal and vertical) consisting of 500 × 500 axial scans requiring an acquisition time of <3 seconds each were acquired, motion corrected and merged.
In order to standardize landslide related criteria in GIS framework, base on the defined fuzzy and crisp membership functions (see Fig. 7), nine raster datasets are first constructed for each landslide related criteria based on subsequent slope, aspect, distance, density, polygon to raster and kriging interpolation functions (see Fig. 2).
