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Select the point layer to analyse for Input point features.In the Kernel Density dialog box, configure the parameters.Click Spatial Analyst Tools > Density > Kernel Density. Refer to ArcMap: How Kernel Density works for more information. This creates a surface with the highest value at the point location and the lowest value at the search radius boundary. This function spreads the point location value outwards to each cell within the search radius. The Kernel Density tool calculates the magnitude per unit area from point and line features using the kernel function. Refer to ArcMap: How Line Density works for more information. The Line Density tool calculates the magnitude per unit area from line features within the neighborhood around each cell. Use the Line Density tool to create a heat map layer on line features using the same concept as the Point Density tool. Click Classify in the Symbology tab, and configure Classification Method and Classes. (d) Classify in terms of Classification Method and Classesĭouble-click the heat map layer to open the Layer Properties dialog box. The options are circular, annular (ring shape), rectangular, and wedge-like.Ī larger radius creates a more spread out pattern (a more generalized density raster), while a smaller radius creates a pattern concentrated towards the input (a more detailed density raster). The field governs the shape of the area around each cell used to calculate the density value. A smaller cell size returns a smoother output. Optional parameters are configured to vary the output pattern as shown in the examples below.Ī larger cell size returns a more pixelated output. Change the default values of the optional fields, if necessary.In this example, it is Lincoln Crime\ crime.

Select the point layer to analyze in the Input point features field.