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Model statistics as output by ArcGIS.
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创建时间：
2017-01-01
相关数据集
Model selection results for strength of spatial association mixed-effects model analyses.
Models are ranked according to Akaike information criterion (AICc) and presented along with the delta (Δp, the change in AICc relative to the best model), and Akaike weights. Model 15 had a 99.99% cha
NIAID Data Ecosystem40
Relative coefficient of determinations from random-effects models for migration rate and geographic distance restricting sites to within specified distance, in meters.
Highlighted boxes indicate superiority of fit, based on relative R2, where Euclidean model is used as the reference model. Higher numbers of R2 indicate superiority of fit.
Figshare2016-12-16 更新00
Value of evaluation criteria for OLS Regression and GWR model.
Value of evaluation criteria for OLS Regression and GWR model.
Figshare2021-11-08 更新00
RMSE scores for the final spatially lagged RF approach as applied to the provincial dataset.
For comparison, the RMSE scores obtained from ordinary kriging of depth to bedrock (OK-DTB) are also shown, along with the intercept and slope of linear models fitted to the truth vs. predicted cross-
Figshare2024-03-27 更新40
Coverage and length of prediction intervals for the CAR and SPDE spatial models when holding out 95% of entire cells of data in Minnesota.
Coverage and length of prediction intervals for the CAR and SPDE spatial models when holding out 95% of entire cells of data in Minnesota.
Figshare2016-02-29 更新00
