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sandwichr R Documentation
sandwichr: Spatial Prediction Based on Spatial Stratified Heterogeneity
Description
The package sandwichr provides tools to predict a spatially stratified heterogeneous population with high accuracy, even when its spatial autocorrelation is weak. These tools allow the calculation of critical summarized statistics such as geodetector q. They also enable the visualization of the interpolated surface as well as the standard error and confidence interval maps.
Author(s)
Yue Lin, Chengdong Xu, and Jinfeng Wang
References
Wang, J. F., Haining, R., Liu, T. J., Li, L. F., & Jiang, C. S. (2013). Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface. Environment and Planning A, 45(10), 2515-2534.
sandwichr documentation built on April 27, 2023, 1:10 a.m.
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| sandwichr | R Documentation |
sandwichr: Spatial Prediction Based on Spatial Stratified Heterogeneity
Description
The package sandwichr provides tools to predict a spatially stratified heterogeneous population with high accuracy, even when its spatial autocorrelation is weak. These tools allow the calculation of critical summarized statistics such as geodetector q. They also enable the visualization of the interpolated surface as well as the standard error and confidence interval maps.
Author(s)
Yue Lin, Chengdong Xu, and Jinfeng Wang
References
Wang, J. F., Haining, R., Liu, T. J., Li, L. F., & Jiang, C. S. (2013). Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface. Environment and Planning A, 45(10), 2515-2534.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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