Data from: "Landscape context and behavioral clustering contribute to flexible habitat selection strategies in a large mammal"

Processed datasets used for analysis in "Landscape context and behavioral clustering contribute to flexible habitat selection strategies in a large mammal" by Hooven et al. published in Mammal Research. R scripts used to process and analyze these data are available from: https://github.com/nhooven/elk-individual-habitat WS_sampled.csv, SU_sampled.csv, UA_sampled.csv, AW_sampled.csv - Processed telemetry datasets (with relocation data removed), resultant files from script "01 - Pre-processing.R". WS_HRs.csv, SU_HRs.csv, UA_HRs.csv, AW_HRs.csv - Home range areas (derived from autocorrelated kernel density estimators) and associated variables, by individual. WS_groups.csv, UA_groups.csv, AW_groups.csv - Home range areas (derived from autocorrelated kernel density estimators) and associated variables, by groups. Note: Raw telemetry data and home range polygons are not available due to the sensitive nature of providing animal locations publicly. Please direct any questions or concerns to the corresponding author ([e-mail]).本数据集为Hooven等人发表于《Mammal Research》的论文《景观背景与行为聚类助力大型哺乳动物灵活生境选择策略》中分析所用的预处理数据集。用于处理与分析本数据集的R脚本可从以下链接获取：https://github.com/nhooven/elk-individual-habitat。 WS_sampled.csv、SU_sampled.csv、UA_sampled.csv、AW_sampled.csv：为预处理后的遥测数据集（已移除位置重定位数据），系运行脚本“01 - Pre-processing.R”后生成的结果文件。 WS_HRs.csv、SU_HRs.csv、UA_HRs.csv、AW_HRs.csv：为基于个体的家域面积（由自相关核密度估计器（autocorrelated kernel density estimators）计算得到）及相关变量数据集。 WS_groups.csv、UA_groups.csv、AW_groups.csv：为基于群体的家域面积（由自相关核密度估计器（autocorrelated kernel density estimators）计算得到）及相关变量数据集。 注意：由于公开动物位置信息涉及敏感属性，原始遥测数据及家域多边形文件暂不对外提供。如有任何疑问或意见，请联系通讯作者（[e-mail]）。