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Correlation coefficient (r) between the observed variance and predicted variance using the least-squares regressions, for the spatial hierarchical TL tested in each census (year).

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Figshare2021-01-07 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Correlation_coefficient_r_between_the_observed_variance_and_predicted_variance_using_the_least-squares_regressions_for_the_spatial_hierarchical_TL_tested_in_each_census_year_/13542443
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mod lists gls_exp, gls_gauss, gls_lin, gls_rat, and gls_sph, which are respectively the generalized least-squares regressions with exponential, Gaussian, linear, rational quadratics, and spherical spatial correlation. ols is the ordinary least-squares regression. (XLSX)

本数据集涵盖模型集合gls_exp、gls_gauss、gls_lin、gls_rat及gls_sph,各模型依次对应带有指数型、高斯型、线性型、有理二次型与球面型空间相关性的广义最小二乘(generalized least-squares)回归;ols则为普通最小二乘(ordinary least-squares)回归。本数据集文件格式为XLSX。
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2021-01-07
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