论文标题
TREC：用于趋势估算和分类的R包，以支持对海洋生态系统和环境因素的综合评估
trec: An R package for trend estimation and classification to support integrated assessment of the marine ecosystem and environmental factors
论文作者
论文摘要
Solvang和Planque（2020）提供了一种趋势估计和分类方法（TREC）方法，用于估计多元时间序列观察中的主要共同趋势。这种方法的开发是为了改善海洋经理，行业代表，非政府组织和政府机构等利益相关者之间的沟通，因为他们研究了海洋生态系统中生物界与当地环境因素的共同趋势。整个计算过程最初是使用MATLAB（VER.R2018B）实现的。在本文中，我们介绍了R Package Trec，该计划是由国际海洋探索委员会发表的《海洋科学杂志》读者的要求。原始程序中的趋势估计和分类任务已进行了修订，新功能包括使用多项式逻辑歧视器的自动图标分配算法。该软件包的实现涉及与TREC1相对应的三个分区）估算观察到的时间序列数据的趋势； TREC2）分类两个/三个粗糙的模式；和TREC3）生成一个表汇总通用配置的类别以及向其自动图标分配的类别。
Solvang and Planque (2020) provided a trend estimation and classification (TREC) approach to estimating dominant common trends among multivariate time series observations. This approach was developed to improve communication among stakeholders like marine managers, industry representatives, non-governmental organizations, and governmental agencies as they investigate the common tendencies between a biological community in a marine ecosystem and the local environmental factors. The entire calculation procedure was originally implemented using MATLAB (ver.R2018b). In this paper, we present R package trec, which was motivated by the requests of readers of the Journal of Marine Science, published by the International Council for the Exploration of the Sea. The tasks of trend estimation and classification in the original program have been revised, and new features include an automatic icon assignment algorithm using a multinomial logistic discriminator. Implementation of this package involves three partitions corresponding to TREC1) estimating trends from observed time series data; TREC2) classifying two/three rough patterns; and TREC3) generating a table summarizing categories of common configurations and the automatic icon assignments to them.
