Design, measurement and modelling in spatio-temporal analysis

时空分析中的设计、测量和建模

• 批准号: RGPIN-2016-03776
• 负责人: Zidek, James
• 金额: $ 3.35万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635859
• 关键词: Design; measurement; modelling; spatio; temporal

The burgeoning World population, newly predicted under present conditions to continue growing to as much as 15billion by the year 2100, is leading to increasing concerns about elevated levels of environment risk. More incidents e.g. high temperature episodes and the increased consumption of fossil fuels e.g. coal are expected. This dark future portends an increased need to effectively monitor environmental processes over space and time along with accurate methods for predicting these processes where they cannot be monitored in space and in the future, to support the management and mitigation of these risks through effective policy and regulation. Statisticians have a major role to play in this future, particularly in quantifying the uncertainties that abound.

世界人口迅速增长，最新预测在目前条件下，到2100年将继续增长到150亿，这导致人们越来越担心环境风险水平的提高。预计将出现更多的事件，例如高温事件和化石燃料（例如煤炭）消耗量的增加。这一黑暗的未来预示着更加需要有效地监测空间和时间上的环境过程沿着在空间和未来无法监测的情况下预测这些过程的准确方法，以支持通过有效的政策和监管来管理和减轻这些风险。统计学家在这个未来中发挥着重要作用，特别是在量化大量的不确定性方面。