Results 1 to 10 of about 25,759 (265)
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization [PDF]
Frontiers in Big Data, 2020 Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing.
Mingjie Tang +5 more
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A PID-Based kNN Query Processing Algorithm for Spatial Data
Sensors, 2022 As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems. How to efficiently process a kNN query on spatial big data has always been an important research topic in the field of spatial data
Baiyou Qiao +3 more
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A SPARK BASED COMPUTING FRAMEWORK FOR SPATIAL DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In this paper, a novel Apache Spark-based framework for spatial data processing is proposed, which includes 4 layers: spatial data storage, spatial RDDs, spatial operations, and spatial query language.
F. Xiao
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Efficient Group K Nearest-Neighbor Spatial Query Processing in Apache Spark
ISPRS International Journal of Geo-Information, 2021 Aiming at the problem of spatial query processing in distributed computing systems, the design and implementation of new distributed spatial query algorithms is a current challenge.
Panagiotis Moutafis +3 more
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LARGE VECTOR SPATIAL DATA STORAGE AND QUERY PROCESSING USING CLICKHOUSE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The exponential growth of geospatial data resulting from the development of earth observation technology has created significant challenges for traditional relational databases.
S. Chen +7 more
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A Big Spatial Data Processing Framework Applying to National Geographic Conditions Monitoring [PDF]
The 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
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A Hierarchical Spatial Network Index for Arbitrarily Distributed Spatial Objects
ISPRS 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
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A VOMR-TREE BASED PARALLEL RANGE QUERY METHOD ON DISTRIBUTED SPATIAL DATABASE [PDF]
ISPRS 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
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A Personalized and Approximated Spatial Keyword Query Approach
IEEE 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
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A Unified Approach to Spatial Proximity Query Processing in Dynamic Spatial Networks
Sensors, 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
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