New Spatial Methods for Characterizing Dynamic Environmental Processes

表征动态环境过程的新空间方法

• 批准号: 327664-2013
• 负责人: Nelson, Trisalyn
• 金额: $ 2.91万
• 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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595281
• 关键词: New; Spatial; Methods; Characterizing; Dynamic

New technology has changed the nature of geographic environmental data. Take the example of snow cover. Currently, NASA freely provides daily data on indicators of snow cover at a spatial resolution of 1 km for most of the globe. The same characteristics that make new data sets exciting for environmental research also invalidate the assumptions of most analytical methods. For instance, standard statistical methods are invalidated when study areas are large and include multiple ecological processes.

新技术已经改变了地理环境数据的本质。以积雪为例。目前，NASA免费提供全球大部分地区1公里空间分辨率的积雪指标每日数据。使新数据集对环境研究令人兴奋的相同特征也使大多数分析方法的假设无效。例如，当研究区域较大且包含多个生态过程时，标准统计方法无效。