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Using Data Loss and Duplication Maps to study data use associated with nearest-neighbor resampling

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https://ir.library.oregonstate.edu/concern/graduate_projects/3t945r44q

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  • Nearest-neighbor resampling is a common procedure used by cartographers to reproject raster data sets. This type of resampling is useful because it retains the data from the original raster data set. However, during nearest-neighbor resampling some of the original data will be lost as it is reprojected, while other data will be duplicated in the reprojected data set. This paper discusses a method for studying and displaying the amount of data loss and duplication associated with nearest-neighbor resampling on equal-angle data sets, such as the ETOPO5 data set. The method uses a computer program, developed by the author, which performs nearest-neighbor resampling on equal-angle data sets. The program produces a tool for studying data loss and duplication, called the Data Loss and Duplication Map, and gives visual and statistical information about the data loss and duplication associated with reprojecting equal-angle data sets using various map projections. This paper will examine the development of this method and will serve as a manual for using the computer program written for studying Data Loss and Duplication Maps. Finally, the paper will discuss the results of using this method, the limitations of the method and the program, and possible direction for future studies using this method.
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