ModelSel_HEWA_2012_Detection

AIC model selection table and associated coefficients for hermit warbler 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.

本数据集包含2012年隐士林莺（Hermit Warbler）所有检测模型的赤池信息准则（Akaike Information Criterion, AIC）模型选择表及对应系数。模型系数的列名采用如下记法：系数表示为`coefficient = parameter(covariate)`，标准误表示为`SEparameter(covariate)`。参数缩写规则如下：p代表检测概率（detection probability），ψ（psi）代表初始占用率（initial occupancy），col代表定殖/定居（colonization/settlement），ext代表灭绝/空置（extinction/vacancy）；其中Parameter(Int)指代截距项（intercept）。‘nPars’表示模型中估计的参数数量。所有模型按其AIC得分排序，该得分用于衡量模型对数据的拟合程度，ΔAIC（delta）值越低则模型拟合效果越好。AICwt（AIC权重）则表示当前模型在所测试的模型集中最优拟合数据的概率。