Share Email Print
cover

Proceedings Paper

GeoMesa: a distributed architecture for spatio-temporal fusion
Author(s): James N. Hughes; Andrew Annex; Christopher N. Eichelberger; Anthony Fox; Andrew Hulbert; Michael Ronquest
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Recent advances in distributed databases and computing have transformed the landscape of spatio-temporal machine learning. This paper presents GeoMesa, a distributed spatio-temporal database built on top of Hadoop and column-family databases such as Accumulo and HBase, that includes a suite of tools for indexing, managing and analyzing both vector and raster data. The indexing techniques use space filling curves to map multi-dimensional data to the single lexicographic list managed by the underlying distributed database. In contrast to traditional non-distributed RDBMS, GeoMesa is capable of scaling horizontally by adding more resources at runtime; the index rebalances across the additional resources. In the raster domain, GeoMesa leverages Accumulo's server-side iterators and aggregators to perform raster interpolation and associative map algebra operations in parallel at query time. The paper concludes with two geo-time data fusion examples: using GeoMesa to aggregate Twitter data by keywords; and georegistration to drape full-motion video (FMV) over terrain.

Paper Details

Date Published: 21 May 2015
PDF: 13 pages
Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 94730F (21 May 2015); doi: 10.1117/12.2177233
Show Author Affiliations
James N. Hughes, Commonwealth Computer Research, Inc. (United States)
Andrew Annex, Commonwealth Computer Research, Inc. (United States)
Christopher N. Eichelberger, Commonwealth Computer Research, Inc. (United States)
Anthony Fox, Commonwealth Computer Research, Inc. (United States)
Andrew Hulbert, Commonwealth Computer Research, Inc. (United States)
Michael Ronquest, Commonwealth Computer Research, Inc. (United States)


Published in SPIE Proceedings Vol. 9473:
Geospatial Informatics, Fusion, and Motion Video Analytics V
Matthew F. Pellechia; Kannappan Palaniappan; Peter J. Doucette; Shiloh L. Dockstader; Gunasekaran Seetharaman; Paul B. Deignan, Editor(s)

© SPIE. Terms of Use
Back to Top