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How is the shape of a neighborhood determined in focal statistics?
The Focal Statistics tool gives control over the neighborhood type and statistic to be calculated. The shape of a neighborhood can be an annulus (a donut), circle, rectangle, or wedge.
How is the weight of focal statistics determined?
See the Irregular and Weight sections of How Focal Statistics works for information on creating and using kernel files. Only for the statistics types of Mean, Standard Deviation, or Sum can the Neighborhood type can be set to Weight.
How does the focal statistics tool work in ArcGIS?
The Focal Statistics tool performs a neighborhood operation that computes an output raster where the value for each output cell is a function of the values of all the input cells that are in a specified neighborhood around that location.
When do you use nodata in focal statistics?
NODATA —Specifies that if any cell in a neighborhood has a value of NoData, the output for the processing cell will be NoData. With this option, the presence of a NoData value implies that there is insufficient information to determine the statistic value for the neighborhood. The output focal statistics raster.
Which is an example of a Wedge neighborhood in ArcGIS?
The default wedge neighborhood is from 0 to 90 degrees, with a radius of three cells. An example illustration of a wedge neighborhood follows: Focal statistics with default wedge neighborhood example (radius 3 cells, start angle 0, end angle 90). Allows you to specify an irregularly shaped neighborhood around the processing cell.
How are focal statistics calculated in ArcGIS Pro?
The output focal statistics raster. The raster for which the focal statistics for each input cell will be calculated. The cells surrounding a processing cell that will be used in the statistic calculation. There are several predefined neighborhood types to choose from, or a custom kernel can be defined.
How is the weight neighborhood calculated in ArcGIS?
The weight neighborhood is only available for the mean, standard deviation, and sum statistics types. If the input number of cells is even, the x- and y-coordinates are computed using truncation. The weight kernel file is an ASCII text file that defines the values and shape of a weight neighborhood.