Name
Abstract | ||
|---|---|---|
This article explores the challenges associated with supporting geospatial retrievals constrained by arbitrary geometric bounds, geographic proximity, and relevance rankings. The authors' proposed solution involves the use of a lightweight, distributed spatial indexing structure, the geoavailability grid. The index can also be used in nondistributed settings, and performs competitively with other spatial indexing technologies. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MCSE.2014.48 | Computing in Science and Engineering |
Keywords | Field | DocType |
distributed hash tables,arbitrary geometric bounds,nondistributed settings,scientific computing,geographic proximity query,relevance rankings,lightweight distributed spatial indexing structure,geoavailability grid,cloud infrastructure,database indexing,geospatial geometry,file organisation,geospatial retrieval,geometry,query processing,geospatial query evaluation,data structures,distributed databases,indexing,geospatial analysis,shape | Geospatial analysis,Data structure,Data mining,Relevance feedback,Information retrieval,Computer science,Search engine indexing,Distributed database,Grid,Hash table,Cloud computing | Journal |
Volume | Issue | ISSN |
16 | 4 | 1521-9615 |
Citations | PageRank | References |
3 | 0.39 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew Malensek | 1 | 93 | 10.44 |
| Sangmi Lee Pallickara | 2 | 170 | 24.46 |
| Shrideep Pallickara | 3 | 837 | 92.72 |