Results 171 to 180 of about 534 (212)
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Spatial Indexing with a Scale Dimension
1999It is frequently the case that spatial queries require a result set of objects whose scale - however this may be more precisely defined - is the same as that of the query window. In this paper we present an approach which considerably improves query performance in such cases.
Mike Hörhammer, Michael Freeston
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Spatial indexing and analytics on Hadoop
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014Effective processing of extremely large volumes of spatial data has led to many organizations employing distributed processing frameworks. Hadoop is one such open-source framework that is enjoying widespread adoption. In this paper, we detail an approach to indexing and performing key analytics on spatial data that is persisted in HDFS.
Randall T. Whitman +3 more
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The price of generality in spatial indexing
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013Efficient indexing can significantly speed up the processing of large volumes of spatial data in many BigData applications. Many new emerging spatial applications (e.g., biomedical imaging, genome analysis, etc.) have varying indexing requirements, thus, a unified indexing infrastructure for implementing new indexing schemes without requiring knowledge
Bogdan Simion +3 more
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Geographic Information Science & Technology Body of Knowledge, 2017
Xiaoyi Zhang, Zhenghong Du
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Xiaoyi Zhang, Zhenghong Du
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Indexing support for spatial joins
Data & Knowledge Engineering, 2000Summary: We introduce a new file organization for the storage and manipulation of spatial (or multidimensional) data that is able to execute spatial join operations with great efficiency. The filter tree access method is a hierarchical organization that tends to separate spatial entities by size. We provide algorithms for constructing filter trees, for
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The role of location indexes in spatial perception: A sketch of the FINST spatial-index model
Cognition, 1989This paper hypothesizes a resource-limited mechanism, called a FINST, for individuating or indexing visual features, as distinct from encoding their type or location. FINSTs have the property that they index features in a way that is transparent to their retinal location, and hence under certain conditions succeed in "pointing to" scene locations.
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A Hybrid Spatial Indexing Structure of Massive Point Cloud Based on Octree and 3D R*-Tree
Applied Sciences (Switzerland), 2021Qin Jiang
exaly