Project Geoinformatic Surveillance: Hotspot Detection and Prioritization Across Geographic Regions and Networks for Digital Government in the 21st Century

地理信息监控项目：21 世纪数字政府跨地理区域和网络的热点检测和优先级排序

• 批准号: 0307010
• 负责人: Ganapati Patil
• 金额: $ 150万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0307010&HistoricalAwards=false
• 关键词: Project; Geoinformatic; Surveillance; Hotspot; Detection

GeoInformatic surveillance data combined with the right statistical interpretation can enable detection of anomalies, or hot spots, either geographically, over time, or both. The need may be for monitoring, etiology, management, or early warning on topics that are natural, accidental or natural. Many government applications can benefit from such detection, such as carbon budgets, ecosystem health, crop pathogens, invasive species, and public health. This multi-disciplinary grant will develop a prototype system and tool set in collaboration with several Federal agencies using a statistical method known as upper level set scan statistic. The prioritization scheme will be based on multiple criteria using revealing Hasse diagrams and partially ordered sets.

GeoInformatic监测数据与正确的统计解释相结合，可以在地理上、随着时间的推移或两者兼而有之的情况下检测异常或热点。可能需要对自然、意外或自然的主题进行监测、病因学、管理或预警。 许多政府应用可以从这种检测中受益，例如碳预算，生态系统健康，作物病原体，入侵物种和公共卫生。这项多学科资助将与几个联邦机构合作开发一个原型系统和工具集，使用一种称为上层集扫描统计的统计方法。优先级排序方案将基于多个标准，使用显示Hasse图和部分有序集。