NDLI: Fast regridding of large, complex geospatial datasets

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Fast regridding of large, complex geospatial datasets

Content Provider	ACM Digital Library
Author	Clegg, A. Blower, J. D.
Abstract	In the earth sciences, data are commonly cast on complex grids in order to model irregular domains such as coastlines, or to evenly distribute grid points over the globe. It is common for a scientist to wish to re-cast such data onto a grid that is more amenable to manipulation, visualization, or comparison with other data sources. The complexity of the grids presents a significant technical difficulty to the re-gridding process. In particular, the regridding of complex grids may suffer from severe performance issues, in the worst case scaling with the product of the sizes of the source and destination grids. We present a mechanism for the fast re-gridding of such datasets, based upon the construction of a spatial index that allows fast searching of the source grid. We discover that the most efficient spatial index under test (in terms of memory usage and query time) is a simple lookup table. A kd-tree implementation was found to be faster to build and to give similar query performance at the expense of a larger memory footprint. Using our approach, we demonstrate that regridding of complex data may proceed at speeds sufficient to permit regridding on-the-fly in an interactive visualization application, or in a Web Map Service implementation. For large datasets with complex grids the new mechanism is shown to significantly outperform algorithms used in many scientific visualization packages.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450306812
DOI	10.1145/1999320.1999350
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-05-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gis Visualization Regridding Web map service Curvilinear grids Spatial index
Content Type	Text
Resource Type	Article

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