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- W2288484755 abstract "It has become apparent that the validity of raster data transformations for various map projections can have significant effects on Earth modeling results. This research investigated three related geospatial information science topics: dynamic projections; the relationships between representations and features, categories, and patterns; and resampling procedures. Empirical investigation compared results of projecting global datasets from geographic coordinates to ten common projections. Analysis of categorical areas indicates a dependence on resolution with errors among equal-area projections ranging between 2 and 20 percent. Error analysis indicates problems in reprojection with specific projection-to-projection transformations yielding better results. Examination of the resampling methods associated with projection of categorical datasets has resulted in the development of a new method. Integrating these lessons, we developed a decision support system for selecting an optimum projection." @default.
- W2288484755 created "2016-06-24" @default.
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- W2288484755 date "2003-01-01" @default.
- W2288484755 modified "2023-09-23" @default.
- W2288484755 title "ACCURATE PROJECTION OF SMALL-SCALE RASTER DATASETS" @default.
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