| 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 |
| Genre: | Article |
| ProdID: | 70012998 |
| Citation Author: | Murphy, D. L. |
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| Citation End Page: | 674 |
| Citation Issue: | 6 |
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| Citation Language: | English |
| Citation Larger Work Title: | Photogrammetric Engineering and Remote Sensing |
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| Citation Number Of Pages: | 8 |
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| Citation Search Results Text: | Estimating neighborhood variability with a binary comparison matrix.; 1985; Article; Journal; Photogrammetric Engineering & Remote Sensing; Murphy, D. L. |
| Citation Start Page: | 667 |
| Citation Volume: | 51 |
| Citation Year: | 1985 |
| Type: | citation/reference |
| Text: | Estimating neighborhood variability with a binary comparison matrix.; 1985; Article; Journal; Photogrammetric Engineering & Remote Sensing; Murphy, D. L. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Tue, 1 Jan 1985 00:00 -0600 |
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