| Abstract: | Geographical research requires the management and analysis of spatial data at multiple scales. As part of the U.S. Geological Survey‘s global change research program a software system has been developed that reads raster data (such as an image or digital elevation model) and produces a pyramid of aggregated lattices as well as various measurements of spatial complexity. For a given raster dataset the system uses the pyramid to report: (1) mean, (2) variance, (3) a spatial autocorrelation parameter based on multiscale analysis of variance, and (4) a monofractal scaling parameter based on the analysis of isoline lengths. The system is applied to 1-km digital elevation model (DEM) data for a 256-km2 region of central California, as well as to 64 partitions of the region. PYRAMID, which offers robust descriptions of data complexity, also is used to describe the behavior of topographic aspect with scale. ?? 1993. |
| Genre: | Article |
| ProdID: | 70017925 |
| Citation Author: | De Cola, L.; Montagne, N. |
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| Citation End Page: | 1404 |
| Citation Issue: | 10 |
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| Citation Language: | English |
| Citation Larger Work Title: | Computers and Geosciences |
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| Citation Number Of Pages: | 12 |
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| Citation Publisher: | Elsevier |
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| Citation Search Results Text: | The pyramid system for multiscale raster analysis; 1993; Article; Journal; Computers and Geosciences; De Cola, L.; Montagne, N. |
| Citation Start Page: | 1393 |
| Citation Volume: | 19 |
| Citation Year: | 1993 |
| Type: | citation/reference |
| Text: | The pyramid system for multiscale raster analysis; 1993; Article; Journal; Computers and Geosciences; De Cola, L.; Montagne, N. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1016/0098-3004(93)90057-C |
| Date Other: | Fri, 1 Jan 1993 00:00 -0600 |
| Publisher: | Elsevier |
