Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries

Authors:
Simin You;Jianting Zhang
Affiliations:
CUNY Graduate Center, New York, NY;City College of New York, New York City, NY
Venue:
Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems
Year:
2011

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Abstract

This demonstration paper reports our design and implementation of a Web-based system that supports efficient histogramming of large-scale geospatial rasters using either rectangular or arbitrarily shaped polygons interactively drawn by users at the client side. By combining two performance boosting techniques, namely materialized histograms and compressed tiles, experiments using 50 random Region of Interests (ROIs) show that our approach is several times faster than straightforwardly scanning all raster tiles that intersect with the ROIs.