Results 11 to 20 of about 23,439 (262)

A Big Spatial Data Processing Framework Applying to National Geographic Conditions Monitoring [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
In this paper, a novel framework for spatial data processing is proposed, which apply to National Geographic Conditions Monitoring project of China. It includes 4 layers: spatial data storage, spatial RDDs, spatial operations, and spatial query language.
F. Xiao
doaj   +1 more source

Efficient query processing on spatial networks [PDF]

open access: yesProceedings of the 13th annual ACM international workshop on Geographic information systems, 2005
A framework for determining the shortest path and the distance between every pair of vertices on a spatial network is presented. The framework, termed SILC, uses path coherence between the shortest path and the spatial positions of vertices on the spatial network, thereby, resulting in an encoding that is compact in representation and fast in path and ...
Jagan Sankaranarayanan   +2 more
openaire   +1 more source

A Hierarchical Spatial Network Index for Arbitrarily Distributed Spatial Objects

open access: yesISPRS International Journal of Geo-Information, 2021
The range query is one of the most important query types in spatial data processing. Geographic information systems use it to find spatial objects within a user-specified range, and it supports data mining tasks, such as density-based clustering. In many
Xiangqiang Min   +3 more
doaj   +1 more source

A VOMR-TREE BASED PARALLEL RANGE QUERY METHOD ON DISTRIBUTED SPATIAL DATABASE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Spatial index impacts upon the efficiency of spatial query seriously in distributed spatial database. In this paper, we introduce a parallel spatial range query algorithm, based on VoMR-tree index, which incorporates Voronoi diagrams into MR-tree ...
Z. Fu, Z. Fu, S. Liu
doaj   +1 more source

Spatial query processing for high resolutions [PDF]

open access: yesEighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings., 2003
Modern database applications including computer-aided design (CAD), medical imaging, or molecular biology impose new requirements on spatial query processing. Particular problems arise from the need of high resolutions for very large spatial objects, including cars, space stations, planes and industrial plants, and from the design goal to use general ...
Hans-Peter Kriegel   +3 more
openaire   +1 more source

A Personalized and Approximated Spatial Keyword Query Approach

open access: yesIEEE Access, 2020
With the universal use of GPS and rapid increase of spatial Web objects, spatial keyword query has been widely used in Location-Based Services (LBS). Most of the existing spatial keyword query processing models only support location proximity and strict ...
Xiangfu Meng, Pan Li, Xiaoyan Zhang
doaj   +1 more source

A Unified Approach to Spatial Proximity Query Processing in Dynamic Spatial Networks

open access: yesSensors, 2021
Nearest neighbor (NN) and range (RN) queries are basic query types in spatial databases. In this study, we refer to collections of NN and RN queries as spatial proximity (SP) queries.
Hyung-Ju Cho
doaj   +1 more source

Quadrant-Based Minimum Bounding Rectangle-Tree Indexing Method for Similarity Queries over Big Spatial Data in HBase

open access: yesSensors, 2018
With the rapid development of mobile devices and sensors, effective searching methods for big spatial data have recently received a significant amount of attention.
Bumjoon Jo, Sungwon Jung
doaj   +1 more source

Query Optimization for Distributed Spatio-Temporal Sensing Data Processing

open access: yesSensors, 2022
The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types.
Xin Li   +3 more
doaj   +1 more source

Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing [PDF]

open access: yesPeerJ Computer Science, 2023
Spatial crowdsourcing refers to the allocation of crowdsourcing workers to each task based on location information. K-nearest neighbor technology has been widely applied in crowdsourcing applications for crowdsourcing allocation. However, there are still
Jing Zhang   +3 more
doaj   +2 more sources

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