Results 1 to 10 of about 23,439 (262)
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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Joint Top-K Spatial Keyword Query Processing [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2012 Web users and content are increasingly being geopositioned, and increased focus is being given to serving local content in response to web queries. This development calls for spatial keyword queries that take into account both the locations and textual descriptions of content.
Dingming Wu 0001 +3 more
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Query processing in spatial databases containing obstacles
International Journal of Geographical Information Science, 2005 Despite the existence of obstacles in many database applications, traditional spatial query processing assumes that points in space are directly reachable and utilizes the Euclidean distance metric. In this paper, we study spatial queries in the presence of obstacles, where the obstructed distance between two points is defined as the length of the ...
Jun Zhang 0005 +3 more
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ISPRS International Journal of Geo-Information, 2017 Geospatial big data analysis (GBDA) is extremely significant for time-constraint applications such as disaster response. However, the time-constraint analysis is not yet a trivial task in the cloud computing environment. Spatial query processing (SQP) is
Wei Huang +3 more
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International Journal of Distributed Sensor Networks, 2019 The existing privacy-preserving aggregation query processing methods in sensor networks rely on pre-established network topology and require all nodes in the network to participate in query processing.
Liang Liu, Zhenhai Hu, Lisong Wang
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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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Complex Spatial Query Processing [PDF]
GeoInformatica, 2004 The user of a Geographical Information System is not limited to conventional spatial selections and joins, but may also pose more complicated and descriptive queries. In this paper, we focus on the efficient processing and optimization of complex spatial queries that involve combinations of spatial selections and joins. Our contribution is manifold; we
Mamoulis, N, Papadias, D, Arkoumanis, D
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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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