Results 1 to 10 of about 38,232 (264)
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
doaj +4 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Spatial cohesion queries [PDF]
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015 Given a set of attractors and repellers, the cohesion query returns the point in database that is as close to the attractors and as far from the repellers as possible. Cohesion queries find applications in various settings, such as facility location problems, location-based services.
Dimitris Sacharidis +1 more
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source