Consequently, we introduce an incremental algorithm to compute and maintain the Voronoi cell at each sensor node. To demonstrate the performance of in-network implementation of our algorithm, we have developed prototypes of two different approaches to distributed spatial aggregate processing.
title Materialized views for count aggregates of spatial data, abstract We address the problem of efficient processing of count aggregate queries for spatial objects in OLAP systems. One of the main issues affecting the efficient spatial analysis is the, so called, distinct counting problem. The core of the problem is due to the fact ...
Management Database Applications Spatial databases and GIS I.3.5 Computing Methodologies Computer Graph-ics Computational Geometry and Object Modeling Geomet-ric algorithms, languages, and systems General Terms Algorithms, performance. Keywords Aggregate operations, spatial aggregates, vector algorithms. 1. INTRODUCTION
We rst review the range aggregate processing methods in spatial databases. The range aggregate (RA) query was proposed for the scenario where users are interested in sum-marized information about objects in a given range rather than individual objects. Thus, a RA query returns an ag-gregation value over objects qualied for a given range. In
Range Aggregate Processing in Spatial Databases Department of . Abstract A range aggregate query returns summarized information about the points falling in a Aggregate processing of multidimensional objects has . View more. Aggregate Query Processing in Data Warehousing Environments .
Our spatial aggregate operators are compatible as the primary keys. with the aggregate processing of TAG and easily portable A set of dierent aggregation queries are now formally to TinyDB. denable on the the realized conceptual model of the sensor Zhao et al. in
models, spatial access methods, and query processing techniques are proposed 1,2 to overcome the problems faced within the extensive scale of geo-graphic information systems (GIS). The increasing demand on geographic applications made spatial databases quite popular. The research on spatial databases focused on the Euclidean space, where the
Given a set of spatial points containing keywords information, a set of query objects Q and m query keywords, a top-k aggregate nearest keyword (ANK) query retrieves k objects from Q with the minimum sum of distances to its nearest points in D such that each nearest point matches at least one of query keywords. For example, consider there is a spatial database D which manages facilities (e.g ...
DOI 10.1145/3085504.3085584 Corpus ID 5583886. Dynamic Group Trip Planning Queries in Spatial Databases articleTabassum2017DynamicGT, titleDynamic Group Trip Planning Queries in Spatial Databases, authorAnika Tabassum and Sukarna Barua and Tanzima Hashem and Tasmin Chowdhury, journalProceedings of the 29th International Conference on Scientific and Statistical
processing, information retrieval, and spatial databases, to name a few. Given a set Oof points and a query point q, the NN query nds the closest point in O to q. In spatial databases, the NN query can be used in nding the nearest point of interest (POI) such as a restaurant to a users current location. Nearest Neighborhood Query.
Jul 23, 2021 Spatial applications (e.g. roadmaps, point of interest, routing, proximity queries) are among the killer applications in this domain. Explore the impact of mobile environment on spatial databases. Multi-copy undate and synchronization is a core problem in commercial mobile databases.
DOI 10.7275/R5736P26 Corpus ID 54529614. Analyzing the performance of NoSQL vs. SQL databases for Spatial and Aggregate queries inproceedingsAgarwal2017AnalyzingTP, titleAnalyzing the performance of NoSQL vs. SQL databases for Spatial and Aggregate queries, authorSarthak Agarwal and K. Rajan, year2017
Apr 12, 2007 Range aggregate processing in spatial databases. TKDE 16(12) 15551570 Google Scholar 30. Theodoridis Y., Stefanakis E. and Sellis T. (2000). Efficient cost models for spatial queries using R-trees. TKDE 12(1) 1932 Google Scholar 31. Welzl E. (1991). Smallest enclosing disks (Balls and Ellipsoids). ...
Apr 02, 2009 A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query, with respect to a given probability threshold. This paper is the first one to address this important type of query.
Range Aggregate Processing in Spatial Databases Yufei Tao Department of Computer Science City University of Hong Kong Tat Chee Avenue, Hong Kong taoyfcs.cityu.edu.hk Dimitris Papadias
Range Aggregate Processing in Spatial Databases . Yufei Tao . Department of Computer Science . City University of Hong Kong . Tat Chee Avenue, Hong Kong . taoyfcs.cityu.edu.hk. Dimitris Papadias .
While the database community has proposed many ap-proaches for aggregate processing in database systems, these works focus on ecient processing of the traditional aggre-gate operators. Literature on spatial databases also mainly focusonmodellingissues, theclassofnearestneighborqueries and index structures to provide fast answers to the queries 2.
This article proposes and solves aggregate nearest neighbor (ANN) queries in spatial databases. Let f be a monotonically increasing function1 and Q q 1,..., q n be a set of query points. We dene the aggregate distance between a data point p and Q as adist(p, Q) f (pq 1,..., pq n), where pq i is the Euclideandistanceof pandq i.Givenaset P p 1,..., p
Range aggregate processing in spatial databases . Range aggregate processing in spatial databases. A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids).
Spatial Databases 1.1 Introduction 1.1.1 Spatial Database Spatial database management systems 43, 58, 120, 119, 97, 74 aim at the eective and ecient management ... Techniques for spatial query processing are discussed in section 5. File organizations and ... set of aggregate shapes. Cardinality is used to quantify multi-shapes. For ...
Jun 01, 2005 Given two spatial datasets P (e.g., facilities) and Q (queries), an aggregate nearest neighbor (ANN) query retrieves the point(s) of P with the smallest aggregate distance(s) to points in Q . Assuming, for example, n users at locations q 1 , q n , an ANN query outputs the facility p P that minimizes the sum of distances pq i for 1 i n that the users have to travel in order ...
Spatial Aggregates SQL has long had aggregate functions, which are used to aggregate the results of a SQL query. Oracles spatial aggregate functions perform a specified aggregate operation on a set of input geometries, and return a single geometry object. For example, the following statement returns the state boundary of Tennessee
smallest aggregate trip distance computed based on the already retrieved POIs from the database. We develop a technique to identify the subgroups of different sizes with minimum aggregate trip distances without computing aggregate trip distances for all possible subgroups, which further reduces the query processing overhead.
Dec 14, 2020 Spatial data represents information about the physical location and shape of geometric objects. These objects can be point locations or more complex objects such as countries, roads, or lakes. SQL Server supports two spatial data types the geometry data type and the geography data type. The geometry type represents data in a Euclidean (flat ...
A row of aggregate data can represent hundreds, thousands or even more atomic data records. When the data is aggregated, it can be queried quickly instead of requiring all of the processing cycles to access each underlying atomic data row and aggregate it in real time when it is queried or accessed.
Being common, these spatial databases are usually used for different purposes. PostGIS is an example of an enterprise solution used mostly on a server to provide spatial data maintenance and access for multiple users. SpatiaLite is a lightweight file database for personal use. Usage of SpatiaLite database has a number of advantages as follows
Aggregate nearest neighbor query, which returns a common interesting point that minimizes the aggregate distance for a given query point set, is one of the most important operations in spatial databases and their application domains.
and/or aggregate by time, spatial regions, vehicle type, etc. For this kind of applications, a database platform will be more suitable. MobilityDB is an SQL moving object database 15. It uses the extensibility features of PostgreSQL to implement an abstract data type model of moving objects 10. It defines the TEMPORAL type
the Life Cycle impacts of excess production of fines, washing of recycled aggregates to enable further processing of fines and other aggregate sizes and the disposal options for inert construction and demolition wastes. The model includes impacts related to transport of primary and recycled aggregates from source to the market place,
continuing interests in Spatial Database Management Systems (SDBMSs) 30. A GIS can be dened as a system designed to capture, store, manipulate, analyze, and present spatial
Query Processing, Spatial Keyword Query 1. INTRODUCTION The wide spread of online geo-tagged web pages has led to an increasing interests in spatial keyword queries 3. Giv-en a set of objects P where each object in P has a location and is associated with a textual description, a spatial key-word query nds the object in P which is the ...
Sep 22, 2017 Relational databases have been around for a long time and spatial databases have exploited this feature for close to two decades. The recent past has seen the development of NoSQL non-relational databases, which are now being adopted for spatial object storage and handling, too. While SQL databases face scalability and agility challenges and fail to take the advantage of the cheap
discuss spatial database systems in the restricted sense. Several papers in this special issue address image database problems and so complement the survey. What is a spatial database system? We are not aware of a generally accepted definition. The following reflects the authors personal view (1) A spatial database system is a database system.
Spatial databases and GIS Road networks Link-based storage Clustering Hypergraphs abstract The need to have efcient storage schemes for spatial networks is apparent when the volume of query processing in some road networks (e.g., the navigation systems) is considered. Specically, under the assumption that the road network is stored in a