Open AccessProceedings Article
Embedding vague spatial objects into spatial databases using the VagueGeometry abstract data type
Anderson Chaves Carniel,Ricardo Rodrigues Ciferri,Cristina Dutra de Aguiar Ciferri +2 more
- 01 Nov 2015
- pp 233-244
TL;DR: Experimental results show that VagueGeometry improved the performance of spatial queries with vague topological predicates from 23% up to 84% if compared with functionalities available in current spatial databases.
read more
Abstract: Spatial vagueness has been required by geoscientists to handle vague spatial objects, i.e., spatial objects that do not have exact locations, strict boundaries, or sharp interiors. However, there is a gap in the literature in how to handle these objects in spatial database management systems since they mainly provide support to crisp spatial objects, i.e., objects that have well-defined locations, boundaries, and interiors. In this paper, we fill this gap by proposing VagueGeometry, a novel abstract data type that handles vague spatial objects, includes an expressive set of vague spatial operations, and its implementation is open source. Experimental results show that VagueGeometry improved the performance of spatial queries with vague topological predicates from 23% up to 84% if compared with functionalities available in current spatial databases.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Journal Article
Handling fuzzy points and fuzzy lines using the FuzzyGeometry abstract data type
TL;DR: The abstract data type FuzzyGeometry is proposed to handle fuzzy spatial objects in the PostgreSQL DBMS and offers management for fuzzy point objects and fuzzy line objects as well as provides several operations to handle them.
7
•Journal Article
The VagueGeometry Abstract Data Type
TL;DR: This article proposes VagueGeometry, a novel abstract data type that allows users to manipulate vague spatial objects in spatial applications and GIS and improves the performance of spatial queries with vague topological predicates if compared with functionalities available in current spatial databases.
2
References
Quality Aspects in Spatial Data Mining
Alfred Stein,Wenzhong Shi,Wietske Bijker +2 more
- 21 Nov 2008
TL;DR: Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming amount of concrete data available to researchers and advises the use of granular computing as a means of circumventing spatial complexities.
60
Uncertain spatial data handling: Modeling, indexing and query
TL;DR: A probability-based method to model and index uncertain spatial data is proposed and OGMH provides more selective, efficient and flexible search than the results provided by the existing trial and error approach for endangered species habitat search.
39
OCL for formal modelling of topological constraints involving regions with broad boundaries
TL;DR: An extension of Spatial OCL is proposed based on a geometric model for objects with vague shapes, and an adverbial approach for modelling topological constraints involving regions with broad boundaries, which provides an easiness in the formal modelling of these complex constraints.
21
Storage and manipulation of vague spatial objects using existing GIS functionality
Arta Dilo,P. Bos,Pawalai Kraipeerapun,R.A. de By +3 more
- 01 Jan 2006
TL;DR: In this article, the authors focus on vagueness, a type of imperfection that is often encountered in collected spatial information, such as forest inventories, or geological, soil, and vegetation maps.
•Proceedings Article
Modeling and querying vague spatial objects using shapelets
Daniel Zinn,Jim Bosch,Michael Gertz +2 more
- 23 Sep 2007
TL;DR: A new technique for modeling and querying vague spatial objects using shapelets, an image decomposition technique developed in astronomy, as base data type, and an implementation of this data model as an extension to PostgreSQL, including an indexing technique for shapelet objects.