Data From: Individual Movement - Sequence Analysis Method (Im-Sam): Characterising Spatio-Temporal Patterns Of Animal Trajectories Across Scales And Landscapes

Dataset included in Zenodo supports the analyses performed in "<em>Individual Movement - Sequence Analysis Methods (IM-SAM) characterising spatio-temporal patterns of animal trajectories across scales and landscapes.</em>" The dataset includes one RDS file, that can be easily loaded into R using the readRDS function. The RDS file consists out of a list including two objects per animal: Object 1 contains a data frame with the real and simulated sequences for an animal. e.g., ls[[1]][[1]] Object 2 contains the home range in raster format of an animal. e.g., ls[[1]][[2]] The data frames in object 1 contain real habitat use sequences and corresponding simulated habitat use sequences generated in the home range of the specific individual (900 simulated sequences: 6 habitat selection rules x 3 selection coefficients x 50 repetitions). Open and closed habitats are respectively encoded by 0 and 1. The first 96 columns of each row in a data frame represent a 16-day habitat use sequence, with a fixed 4-hour relocation interval (0, 4, 8, 12, 16 and 20h). Column names are named as follows: Day_1_0h, Day_1_4h,..., Day_16_20h. In the next columns we provide the selection coefficients (columns 97-99), the habitat selection rules (or pattern, columns 100-102) and the number of missing values (mvs, columns, 103-104) for each of the real and simulated sequences. Note that simulated sequences have no missing values (i.e. values are always 0.00) and for real sequences there is no selection coefficient or habitat selection rule (i.e. values are always xxx). Rownames of simulated sequences are composed out of the habitat selection rule (c, o, a24, a33, a42 and u), the selection coefficient (5, 10, 50) and the replicate (1 to 50), separated by dashes. For example, the first simulated sequence in the first data frame (ls[[1]][[1]][1,]) is described as a24_10_1. The rownames of real sequences instead are composed out of the individuals' identifier, the biweekly period (1 to 23) and the year. For example, the first real sequence in the first data frame (ls[[1]][[1]][901,]) is described as 1_5_2006. <br>本数据集收录于Zenodo，用于支撑《个体运动-序列分析方法（IM-SAM）：跨尺度与景观刻画动物轨迹时空模式》该项研究的分析工作。 本数据集包含1个RDS文件，可通过`readRDS`函数便捷加载至R统计环境。该RDS文件为列表结构，每个动物对应两个对象： 对象1为数据框，存储某一动物的真实与模拟运动序列，示例访问路径为`ls[[1]][[1]]`。 对象2为栅格格式的该动物家域数据，示例访问路径为`ls[[1]][[2]]`。 对象1中的数据框包含对应个体家域范围内生成的真实生境利用序列与对应模拟生境利用序列，总计900条模拟序列：6种生境选择规则 × 3种选择系数 × 50次重复。其中开阔生境与封闭生境分别以编码0和1进行标记。 数据框每行的前96列代表16天的生境利用序列，定位间隔固定为4小时，对应时刻为0、4、8、12、16和20时。列名命名规则为`Day_1_0h`、`Day_1_4h`……直至`Day_16_20h`。后续列依次存储各真实与模拟序列的选择系数（第97至99列）、生境选择规则（或模式，第100至102列）以及缺失值数量（mvs，第103至104列）。需注意：模拟序列无缺失值（对应值恒为0.00）；真实序列则无选择系数与生境选择规则信息（对应值恒为`xxx`）。 模拟序列的行名由生境选择规则（c、o、a24、a33、a42及u）、选择系数（5、10、50）与重复编号（1至50）以短横线连接组成。例如首个数据框的第一条模拟序列`ls[[1]][[1]][1,]`对应的行名为`a24_10_1`。 真实序列的行名则由个体标识符、双周周期（1至23）与年份组成。例如首个数据框的第901条真实序列`ls[[1]][[1]][901,]`对应的行名为`1_5_2006`。