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• W2130132154 abstract "Data about many variables are available as numerical values at specific geographical locations. We develop a methodology based on mathematical morphology to convert point-specific data into zonal map. This methodology relies on weighted skeletonization by zone of influence that determines the points of contact of multiple frontlines propagating, from various points spread over the space, at the traveling rates depending upon the variable's strength. We demonstrate this approach for converting rainfall data available at specific rain gauge locations (points) into a spatially distributed zonal map that suggests zones of equal rainfall." @default.
• W2130132154 created "2016-06-24" @default.
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• W2130132154 date "2012-05-01" @default.
• W2130132154 modified "2023-09-23" @default.
• W2130132154 title "Generation of Zonal Map From Point Data via Weighted Skeletonization by Influence Zone" @default.
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• W2130132154 doi "https://doi.org/10.1109/lgrs.2011.2169489" @default.
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