Spatiotemporal series of count and proportion data: Climate change and forest fires

计数和比例数据的时空序列：气候变化和森林火灾

• 批准号: 386689-2010
• 负责人: Woolford, Douglas
• 金额: $ 1.24万
• 依托单位: Wilfrid Laurier University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508665
• 关键词: Spatiotemporal; series; count; proportion; data

The main objectives of my research program are to develop tools and methodology for detecting nonlinear trends in non-negative spatiotemporal data, emphasizing the analysis of spatially referenced time series of counts and proportions. My research is motivated by the analysis of historical forest fire, fire-weather and lightning data recorded by Canadian forest fire management agencies. Statistical and Industrial Engineering considerations touch on areas covering mixtures, analysis of extremes, nonlinear trend analysis, queueing theory and estimation, and other topics related to the modelling and analysis of stochastic processes.

我的研究计划的主要目标是开发工具和方法，用于检测非负时空数据中的非线性趋势，强调对计数和比例的空间参考时间序列的分析。 我的研究动机是分析历史上的森林火灾，火灾天气和闪电数据记录的加拿大森林火灾管理机构。 统计和工业工程的考虑涉及的领域包括混合物，极端分析，非线性趋势分析，预测理论和估计，以及与随机过程的建模和分析相关的其他主题。