This paper presents a methodology to determine three data quality (DQ) risk characteristics: accuracy, comprehensiveness and nonmembership. The methodology provides a set of quantitative models to confirm the informat...This paper presents a methodology to determine three data quality (DQ) risk characteristics: accuracy, comprehensiveness and nonmembership. The methodology provides a set of quantitative models to confirm the information quality risks for the database of the geographical information system (GIS). Four quantitative measures are introduced to examine how the quality risks of source information affect the quality of information outputs produced using the relational algebra operations Selection, Projection, and Cubic Product. It can be used to determine how quality risks associated with diverse data sources affect the derived data. The GIS is the prime source of information on the location of cables, and detection time strongly depends on whether maps indicate the presence of cables in the construction business. Poor data quality in the GIS can contribute to increased risk or higher risk avoidance costs. A case study provides a numerical example of the calculation of the trade-offs between risk and detection costs and provides an example of the calculation of the costs of data quality. We conclude that the model contributes valuable new insight.展开更多
为服务于脱贫攻坚中产业扶贫重要决策部署,解决传统食用菌信息管理方式效率低、范围小、可操作性差的问题,文中设计研发一种基于云GIS的食用菌质量安全空间管理信息系统。该系统以ArcGIS API for JavaScript和ArcGIS Engine为开发框架,...为服务于脱贫攻坚中产业扶贫重要决策部署,解决传统食用菌信息管理方式效率低、范围小、可操作性差的问题,文中设计研发一种基于云GIS的食用菌质量安全空间管理信息系统。该系统以ArcGIS API for JavaScript和ArcGIS Engine为开发框架,采用B/S与C/S混合开发模式构建表现层;以Oracle数据库建立数据系统,融合动态链接库(DLL)、组件对象模型(COM)及.NET反射机制于一体;以VMware部署私有云环境,基于REST服务构建食用菌质量安全空间管理信息系统。该系统支持食用菌数据的查询和编辑、污染源管理、采样管理、安全风险评价、统计分析和空间分析等功能,同时可建立食用菌质量安全空间数据库,构建食用菌质量安全评估模型,运用三维GIS空间信息化技术对食用菌的自然环境进行空间可视化研究。结果表明,文中系统可以提升食用菌信息管理和分析的效率,能为食用菌产业规划提供技术支持。展开更多
基金The National Natural Science Foundation of China (No.70772021,70372004)China Postdoctoral Science Foundation (No.20060400077)
文摘This paper presents a methodology to determine three data quality (DQ) risk characteristics: accuracy, comprehensiveness and nonmembership. The methodology provides a set of quantitative models to confirm the information quality risks for the database of the geographical information system (GIS). Four quantitative measures are introduced to examine how the quality risks of source information affect the quality of information outputs produced using the relational algebra operations Selection, Projection, and Cubic Product. It can be used to determine how quality risks associated with diverse data sources affect the derived data. The GIS is the prime source of information on the location of cables, and detection time strongly depends on whether maps indicate the presence of cables in the construction business. Poor data quality in the GIS can contribute to increased risk or higher risk avoidance costs. A case study provides a numerical example of the calculation of the trade-offs between risk and detection costs and provides an example of the calculation of the costs of data quality. We conclude that the model contributes valuable new insight.
文摘为服务于脱贫攻坚中产业扶贫重要决策部署,解决传统食用菌信息管理方式效率低、范围小、可操作性差的问题,文中设计研发一种基于云GIS的食用菌质量安全空间管理信息系统。该系统以ArcGIS API for JavaScript和ArcGIS Engine为开发框架,采用B/S与C/S混合开发模式构建表现层;以Oracle数据库建立数据系统,融合动态链接库(DLL)、组件对象模型(COM)及.NET反射机制于一体;以VMware部署私有云环境,基于REST服务构建食用菌质量安全空间管理信息系统。该系统支持食用菌数据的查询和编辑、污染源管理、采样管理、安全风险评价、统计分析和空间分析等功能,同时可建立食用菌质量安全空间数据库,构建食用菌质量安全评估模型,运用三维GIS空间信息化技术对食用菌的自然环境进行空间可视化研究。结果表明,文中系统可以提升食用菌信息管理和分析的效率,能为食用菌产业规划提供技术支持。
