If we had used a zero Blur, we would get no smoothing, and the density value of the raster cell that contains the point feature would be 1 / (84.67 * 84.67) = 0.0001395 points per square meter, which is converted to 139.5 points per square kilometer. The neighboring raster cells would contain a density value of zero, since they contain no points.

Now, let us suppose we want to smooth the density value 139.5 over many raster cells. We can use a Blur or standard deviation (sigma) of 75 meters, say. With the default CroppingFactor of 3, we get a cropping radius of 3 * 75 = 225 meters, and the circle with that radius is shown below. The three sigma circle is extended outward to become a square aligned with the raster cell borders, and the contributions from the central point feature are cropped to the interior of this square. The sum of the smoothed numbers is 139.5.

If we had used a zero blur, we would get no smoothing, and the density value of the raster cell that contains the point feature would be 1 / (84.67 * 84.67) = 0.0001395 points per square meter, which is converted to 139.5 points per square kilometer. The neighboring raster cells would contain a density value of zero, since they contain no points.

Now, let us suppose we want to smooth the density value 139.5 over many raster cells. We can use a blur or standard deviation (sigma) of 75 meters, say. With the default croppingFactor of 3, we get a cropping radius of 3 * 75 = 225 meters, and the circle with that radius is shown below. The three sigma circle is extended outward to become a square aligned with the raster cell borders, and the contributions from the central point feature are cropped to the interior of this square. The sum of the smoothed numbers is 139.5.

If we had used a zero blur, we would get no smoothing, and the density value of the raster cell that contains the point feature would be 1 / (84.67 * 84.67) = 0.0001395 points per square meter, which is converted to 139.5 points per square kilometer. The neighboring raster cells would contain a density value of zero, since they contain no points.

Now, let us suppose we want to smooth the density value 139.5 over many raster cells. We can use a blur or standard deviation (sigma) of 75 meters, say. With the default croppingFactor of 3, we get a cropping radius of 3 * 75 = 225 meters, and the circle with that radius is shown below. The three sigma circle is extended outward to become a square aligned with the raster cell borders, and the contributions from the central point feature are cropped to the interior of this square. The sum of the smoothed numbers is 139.5.

If we had used a zero blur, we would get no smoothing, and the density value of the raster cell that contains the point feature would be 1 / (84.67 * 84.67) = 0.0001395 points per square meter, which is converted to 139.5 points per square kilometer. The neighboring raster cells would contain a density value of zero, since they contain no points.

Now, let us suppose we want to smooth the density value 139.5 over many raster cells. We can use a blur or standard deviation (sigma) of 75 meters, say. With the default croppingFactor of 3, we get a cropping radius of 3 * 75 = 225 meters, and the circle with that radius is shown below. The three sigma circle is extended outward to become a square aligned with the raster cell borders, and the contributions from the central point feature are cropped to the interior of this square. The sum of the smoothed numbers is 139.5.