Simulation

Simulated dataset : we used localGibbs movement model to simulate animal trajectories (100 per landscape x 100 landscapes) with known coefficient of habitat selection and used time-varying HSA to estimate theses coefficients. <br> data_rsf_parameter contains the expected and estimated coefficient for each simulated trajectories (x,y,t), according to the model parameter Q used for the estimation, and for each replication. <br> simulated_data_nstep250_... contains the simulated coordinates for "rare change scenario" and _20_ for "frequent change scenario" <br> habitat_raster contains the simulated habitat landscape used for each replication and each scenario <br> data_tRSF_Q... contains the same info than data_rsf_parameter but for each scenario-replication, rbind them to obtain data_rsf_parameter <br> Because of size, we provide the simulations for the first 30 replications only.本数据集为模拟数据集：我们采用局部吉布斯运动模型（localGibbs movement model）模拟动物运动轨迹，每个景观生成100条轨迹，共覆盖100个景观，其栖息地选择系数已知，并使用时变生境选择分析（time-varying Habitat Selection Analysis，HSA）估计上述系数。 "data_rsf_parameter" 数据集存储了各条模拟轨迹（x、y、t维度）的期望系数与估计系数，该结果基于估计所用的模型参数Q，且对应每一次重复实验。 "simulated_data_nstep250_*" 数据集存储了“罕见变化情景”下的模拟坐标，带"_20"后缀的数据集则对应“频繁变化情景”的模拟坐标。 "habitat_raster" 数据集存储了各次重复实验与各情景下所使用的模拟生境景观。 "data_tRSF_Q_*" 数据集存储了与"data_rsf_parameter"数据集一致的信息，但针对每一个情景-重复组合，通过行绑定这些数据即可得到"data_rsf_parameter"数据集。 受文件大小限制，本数据集仅提供前30次重复实验的模拟结果。