COLLABORATIVE RESEARCH: Stratigraphic Correlation as Constrained Optimization: Extending Graphical Correlation to N Dimensions

在地质学家和 统计学家，该项目旨在改善时间的方法， 地层对比 通过结合最好的方面 现有的与运筹学相关的图形方法， PI将以受约束的形式开发解决方案， 优化. 程序的一部分是寻找最佳顺序 第一次和最后一次出现的事件，允许主观判断 关于数据的质量;第二部分将事件沿着 通过增加关于积累的简化假设， rates. 重复的快速试验揭示了不同的 判断和假设。 该程序将适用于一个中期- 大盆地奥陶系对比问题

In an interdisciplinary effort among geologists and statisticians, this project seeks to improve methods of time correlation in stratigraphy. By combining the best aspects of existing methods of graphical correlation with operations research, PIs will develop a solution in the form of constrained optimization. One part of the procedure seeks the best sequence of first and last appearance events, allowing subjective judgments about quality of data; a second part positions the events along a time scale by adding simplifying assumptions about accumulation rates. Repeated, rapid trials expose the consequences of different judgments and assumptions. Procedure will be applied to a mid- Ordovician correlation problem in the Great Basin.