Developing methods for spatial-temporal environmental research.

开发时空环境研究方法。

• 批准号: 327664-2012
• 负责人: Nelson, Trisalyn
• 金额: $ 1.97万
• 依托单位: University of Victoria
• 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=507679
• 关键词: Developing; methods; spatial; temporal; environmental

Developments in technologies, such as Global Positioning Systems (GPS), Geographic Information Systems (GIS), and remote sensing, have improved geographic data collection and storage. As a result, it is increasingly common for spatially explicit environmental data to have fine-spatial detail, cover large areas, and include multiple time periods. The use of spatially explicit data for addressing critical environmental research questions is limited by a lack of methods for spatial-temporal analysis. Many approaches are available to investigate spatial trends or time series, but few approaches offer the ability to simultaneously consider space and time. Given that many critical environmental issues are associated with change, the ability to characterize space-time trends in environmental processes is vital.

全球定位系统、地理信息系统和遥感等技术的发展改进了地理数据的收集和储存。因此，空间上明确的环境数据越来越普遍地具有精细的空间细节，覆盖大面积，并包括多个时间段。由于缺乏时空分析的方法，空间上明确的数据用于解决关键的环境研究问题受到限制。许多方法可用于调查空间趋势或时间序列，但很少有方法能够同时考虑空间和时间。鉴于许多关键的环境问题都与变化有关，确定环境进程中的时空趋势的能力至关重要。