SGER: Ecological Time Series and Model Analyses Using a Web-Based Classification Tool (WLV)

现有的基于网络的统计聚类分析工具WLV （Web LOICZview）将进行修改，以便能够随时间跟踪环境系统的变化。这将允许对时空数据和多维数据集进行分析，包括环境模型三维模拟的多变量输出。WLV在分析和分类地理参考环境数据方面有着良好的记录。这种时变数据的应用程序是一种逻辑扩展，尽管并非没有努力和一些风险。原理验证分析将包括在森林氮动力学的明确模型中对氮动力学进行时空模拟。这项研究由康奈尔大学、斯沃斯莫尔学院和堪萨斯大学合作完成。

An existing web-based statistical cluster analysis tool, WLV (Web LOICZview) will be modified to make it possible to track changes in environmental systems through time. This will permit the analysis of spatio-temporal data and multidimensional datasets, including multivariable outputs of 3-D simulations of environmental models. WLV has a proven track record for analyzing and categorizing georeferenced environmental data. This application to time-varying data is a logical extension, although not without effort and some risk. A proof-of-principle analysis will include spatiotemporal simulations of nitrogen dynamics in an explicit model of forest nitrogen dynamics. The work is collaboration among Cornell, Swarthmore and the University of Kansas.