Xiao-Dong Yan
Biographic Data
| ID | 1522681 |
|---|---|
| NAME | Xiao-Dong Yan |
| GIVEN NAMES | Xiao-Dong |
| FAMILY NAME | Yan |
| SIGNATURE | YAN X |
| AFFILIATIONS | Chinese Academy of Sciences |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2008 |
| H-INDEX | 1 |
Local Linear Estimation of Spatially Varying Coefficient Models
Geographically weighted regression (GWR), as a useful method for exploring spatial non-stationarity of a regression relationship, has been applied to a variety of areas. In this method a spatially varying coefficient model is locally calibrated and the spatial-variation patterns of the locally estimated regression coefficients are taken as the main evidence of spatial nonstationarity for the underlying data-generating processes. Therefore, the va…
Local Linear Estimation of Spatially Varying Coefficient Models
Geographically weighted regression (GWR), as a useful method for exploring spatial non-stationarity of a regression relationship, has been applied to a variety of areas. In this method a spatially varying coefficient model is locally calibrated and the spatial-variation patterns of the locally estimated regression coefficients are taken as the main evidence of spatial nonstationarity for the underlying data-generating processes. Therefore, the va…
Local Linear Estimation of Spatially Varying Coefficient Models
Geographically weighted regression (GWR), as a useful method for exploring spatial non-stationarity of a regression relationship, has been applied to a variety of areas. In this method a spatially varying coefficient model is locally calibrated and the spatial-variation patterns of the locally estimated regression coefficients are taken as the main evidence of spatial nonstationarity for the underlying data-generating processes. Therefore, the va…
Economic and Environmental Valuation (1 work) · Geographically Weighted Regression (1 work) · Goodness of fit (1 work) · Linear regression (1 work) · Local regression (1 work) · Mathematical analysis (1 work) · Mathematics (1 work) · Polynomial (1 work) · Polynomial regression (1 work) · Regional Economics and Spatial Analysis (1 work)