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Estimating neighborhood variability with a binary comparison matrix.

D.L. Murphy
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Abstract

A technique which utilizes a binary comparison matrix has been developed to implement a neighborhood function for a raster format data base. The technique assigns an index value to the center pixel of 3- by 3-pixel neighborhoods. The binary comparison matrix provides additional information not found in two other neighborhood variability statistics; the function is sensitive to both the number of classes within the neighborhood and the frequency of pixel occurrence in each of the classes. Application of the function to a spatial data base from the Kenai National Wildlife Refuge, Alaska, demonstrates 1) the numerical distribution of the index values, and 2) the spatial patterns exhibited by the numerical values. -Author

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D.L. Murphy. 1985. Estimating neighborhood variability with a binary comparison matrix.. https://pubs.usgs.gov/publication/70012998

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