Identifying and characterizing extrapolation in multivariateresponse data

Inland lake data from the LAGOS-NE database. Multi-scale covariates available for ~8,000 lakes with observed and unobserved water quality response variables. <br>Lake data used for identifying and characterizing extrapolation in multivariate response data. Analyzed as part of PLOS One manuscript. Also available are output data with extrapolation index values and CART model fit with data.

源自LAGOS-NE数据库的内陆湖泊数据集。
该数据集涵盖约8000个湖泊的多尺度协变量，以及已观测与未观测的水质响应变量。
此湖泊数据集可用于识别并刻画多变量响应数据中的外推现象。
相关分析已作为《PLOS One》期刊稿件的组成部分开展。
此外还附带包含外推指数值的输出数据，以及基于本数据集拟合的CART（Classification and Regression Trees，分类与回归树）模型结果。