Results 1 to 10 of about 41,508 (116)
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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Energy-Efficient Spatial Query-Centric Geographic Routing Protocol in Wireless Sensor Networks [PDF]
Sensors, 2019 In data-centric wireless sensor networks (WSNs), sensing data have a high time–space correlation. Most queries are spatial and used to obtain data in a defined region.
Xing Wang +4 more
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SLBRIN: A Spatial Learned Index Based on BRIN
ISPRS International Journal of Geo-Information, 2023 The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices.
Lijun Wang +6 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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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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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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Research on Time-Aware Group Query Method with Exclusion Keywords
ISPRS International Journal of Geo-Information, 2023 Aiming at the problem that the existing spatial keyword group query problem did not consider the query requirements with exclusion keywords and time attributes, a time-aware group query problem with exclusion keywords (TEGSKQ) is proposed for the first ...
Liping Zhang, Jing Li, Song Li
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A Spatial Index Based on Clipping Bounding Box of Space Partitioning Tree [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2022 In spatial databases, spatio-temporal indexes based on R tree use minimum bounding box(MBB)to approximate spatio-temporal data to improve query efficiency, and the efficiency of indexing can be further improved by by clipping the bounding box.To ...
XIONG Wei +4 more
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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 Query Understanding Framework for Earth Data Discovery
Applied Sciences, 2020 One longstanding complication with Earth data discovery involves understanding a user’s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data.
Yun Li +4 more
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