The aim of the GARPTools package is to provide tools to prepare data for input into the desktop version of the genetic algorithm for rule-set prediction (GARP), for the evaluation of the accuracy of output models, and for summary/examination of environmental coverages used in GARP rule sets for best models in an experiment. GARP is a software package for biodiversity and ecological research that allows the user to predict and analyze wild species' geographic distributions. GARP is a presence-background genetic algorithm that models species' potential geographic distributions through an iterative process of training and testing that occurs through resampling and replacement of input data. GARP develops rule-sets of if/then logic statements that assign presence or absence, which are then mapped on the landscape. Toward this, GARPTools provides preparation functions including splitting species presence locations into training and testing data sets and resampling environmental layers to the same spatial resolution (raster cell size) and extent. Model evaluation functions are relevant to current procedures applied to species distribution modeling, including the receiver operating characteristic curves and omission and commission indices. There are also functions to estimate the contribution of environmental coverages (covariates) based on the GARP outputs by examining the individual rules. GARPTools intends to provide a means to systematically prepare data, evaluate models, and summarize environmental coverages among multiple systems and species without the need for complex software programming.

中文翻译：

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GARPTools：用于GARP模型的数据准备和模型评估的R软件

GARPTools 包的目的是提供工具来准备输入到桌面版遗传算法的规则集预测 (GARP)、评估输出模型的准确性以及总结/检查环境覆盖率的工具在 GARP 规则集中用于实验中的最佳模型。GARP 是一个用于生物多样性和生态研究的软件包，允许用户预测和分析野生物种的地理分布。GARP 是一种存在背景遗传算法，它通过训练和测试的迭代过程对物种的潜在地理分布进行建模，该过程通过重新采样和替换输入数据进行。GARP 开发了分配存在或不存在的 if/then 逻辑语句的规则集，然后将其映射到景观上。对此，GARPTools 提供了准备功能，包括将物种存在位置拆分为训练和测试数据集，以及将环境层重采样到相同的空间分辨率（栅格单元大小）和范围。模型评估函数与应用于物种分布建模的当前程序相关，包括接收器操作特征曲线和遗漏和佣金指数。还有一些函数可以通过检查各个规则来估计基于 GARP 输出的环境覆盖率（协变量）的贡献。GARPTools 旨在提供一种方法来系统地准备数据、评估模型和总结多个系统和物种之间的环境覆盖，而无需复杂的软件编程。