Proceedings Article10.1109/WICOM.2007.1463
Evaluating Spatial Data Quality in GIS Database
Ying Su,Lei Yang,Zhanming Jin +2 more
- 08 Oct 2007
- pp 5967-5970
6
TL;DR: Four quantitative measures are introduced to assess the quality of spatial data and four assumptions are presented where the measures can be evaluated efficiently by numerical calculation.
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Abstract: The quality of spatial data is often limited by the quality of their sources such as paper maps and satellite images. Spatial operations performed on database of geographical information systems (GIS) such as selection, projection, and Cartesian product, do not always work correctly because their accuracy and completeness depends on the quality of spatial data. The present paper suggests a methodology to evaluate two data quality characteristics - accuracy and completeness - of the spatial database. Four quantitative measures are introduced to assess the quality of spatial data. Their explicit forms are derived for a tuple, and four assumptions are presented where the measures can be evaluated efficiently by numerical calculation.
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Citations
Building Service Oriented Sharing Platform for Emergency Management – An Earthquake Damage Assessment Example
Ying Su,Zhanming Jin,Jie Peng +2 more
- 01 Jan 2010
TL;DR: The feasibility of using services offered by a Spatial Data Infrastructure as the basis for distributed service oriented sharing is studied and the OGC specifications provide a sound basis for developing service oriented architectures for disaster sharing platform.
4
Information Quality Assurance Models for Experts Assessing in Disaster Management
Ying Su,Jie Peng,Zhanming Jin +2 more
- 31 Mar 2009
TL;DR: Information Quality Assurance Models for Experts Assessing in Disaster Management and how these models can be modified for different types of disasters are presented.
2
Assuring Image Quality in Spatial Data Sharing Platform for Disaster Management
TL;DR: A Web-based spatial data sharing platform for disaster management that provides interactive, multi-granularity and contextsensitive IQ indicators that help experts to build and justify their opinions is described.
1
Geographic information system (gis) to manage environmental noise in the city of medellin, co- lombia
Luis Tafur,Claudia Durango,Diana Garza,Libardo Londoño,Héctor García +4 more
- 01 Jan 2015
TL;DR: The main goal of this environmental noise sources characterization is to find first, the acoustic noise prediction method that best agrees with local noise sources and second, to evaluate the need of acoustic corrections for the noise indicators analysed in the strategic noise maps.
QoS Based Design and Development in Spatial Data Sharing Platform for Disaster Management
TL;DR: A web-based spatial data sharing platform for disaster management that provides interactive, multi-granularity and context-sensitive I-Q indicators that help experts to build and justify their opinions is described.
References
Framework and Workflows for Spatial Database Generalization
Byong-Nam Choe,Young-Gul Kim +1 more
TL;DR: This study suggests a framework for database generalization, and then defines operators that reflect the changes in database schema and content within the generalization process.
Data Warehousing Process Maturity: An Exploratory Study of Factors Influencing User Perceptions
TL;DR: The results of this exploratory study indicate that several factors-data quality, alignment of architecture, change management, organizational readiness, and data warehouse size-have an impact on DWP maturity, as perceived by IT professionals.
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