trend, h, p, z, Tau, s, var_s, slope, intercept = mk.original_test(data) 输出的内容解释: 输出包含了Theil-Sen Median斜率估计和Mann-Kendall检验的内容。 也可以自定义函数: from __future__ import division import numpy as np import pandas as pd from scipy import stats from scipy.stats im...
介绍一下Theil-Sen Median斜率估计和Mann-Kendall趋势分析,这两种方法经常结合使用,前者用于估计趋势的斜率,后者用于检验趋势的显著性。如多年NPP或者NDVI的趋势分析。 Theil-Sen斜率估计 Theil-Sen回归是一种鲁棒线性回归方法,用于减小异常值对拟合结果的影响。与最小二乘法和一些其他回归方法不同,Theil-Sen回归使用了...
Then type: %SENSLOPE B2 R: From the “trend” package: sens.slope(x, conf.level = 0.95) Where: x = numeric vector or a time series object of class “ts”, conf.level = numeric significance level. References Minitab 18 Support: Sen’s Slope. Retrieved June 22, 218 from: https://...
the Theil–Sen estimator, also known as Sen's slope estimator,slope selection,the single median method, or the Kendall robust line-fit method, is a method for robust linear regression that chooses the median slope among all lines through pairs of two-dimensional sample points. It is named ...
trend, h, p, z, Tau, s, var_s, slope, intercept = mk.original_test(data) 输出的内容解释: 输出包含了Theil-Sen Median斜率估计和Mann-Kendall检验的内容。 也可以自定义函数: from __future__ import division import numpy as np import pandas as pd ...