A Scalable Unified System for Seeding Regionalization Queries
A Scalable Unified System for Seeding Regionalization Queries
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DOI：
10.1145/3609956.3609980
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发表时间：
2023-08
期刊：
影响因子：
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通讯作者：
Hussah Alrashid;A. Magdy
中科院分区：
文献类型：
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作者：
Hussah Alrashid;A. Magdy
空间区域化是将空间多边形集合组合成满足用户定义的标准和目标的连续区域的过程。文献中已经提出了许多空间区域化技术，它们采用不同的方法进行区域增长、播种、优化并强制执行不同的用户定义的约束和目标。本文介绍了一种可扩展的统一系统，用于有效解决播种空间区域化查询。所提出的系统提供了一个可用且可扩展的框架，该框架采用广泛的现有空间区域化技术，并允许用户提交以前未探索过的新颖的查询组合。这代表了空间区域化领域向前迈出的重要一步，因为它为解决不同的区域化查询提供了一个强大的平台。该系统主要由三个组件组成：查询解析器、查询规划器和查询执行器。该系统的初步评估表明其在有效解决各种区域化查询方面的功效。
Spatial regionalization is the process of combining a collection of spatial polygons into contiguous regions that satisfy user-defined criteria and objectives. Numerous techniques for spatial regionalization have been proposed in the literature, which employ varying methods for region growing, seeding, optimization and enforce different user-defined constraints and objectives. This paper introduces a scalable unified system for addressing seeding spatial regionalization queries efficiently. The proposed system provides a usable and scalable framework that employs a wide-range of existing spatial regionalization techniques and allows users to submit novel combinations of queries that have not been previously explored. This represents a significant step forward in the field of spatial regionalization as it provides a robust platform for addressing different regionalization queries. The system is mainly composed of three components: query parser, query planner, and query executor. Preliminary evaluations of the system demonstrate its efficacy in efficiently addressing various regionalization queries.