مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| کرایجینگ پانل× | رگرسیون فضایی پنل× | |
|---|---|---|
| حوزه | تحلیل فضایی | تحلیل فضایی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 2011 | 1988-2014 |
| پدیدآور≠ | Cressie & Wikle (spatio-temporal kriging framework) | Anselin, Elhorst, and colleagues in spatial econometrics |
| نوع≠ | Geostatistical interpolation | Spatial panel regression |
| منبع بنیادین≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| نامهای دیگر | longitudinal kriging, repeated-measures kriging, spatio-temporal panel kriging, panel geostatistical interpolation | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR |
| مرتبط≠ | 5 | 6 |
| خلاصه≠ | Panel Kriging is a geostatistical interpolation method that combines kriging's spatial prediction framework with a panel (longitudinal) data structure. It estimates unknown values at unobserved locations and times by borrowing strength from repeated spatial observations across multiple time periods, accounting for both spatial dependence and temporal autocorrelation simultaneously. | Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units. |
| ScholarGateمجموعهداده ↗ |
|
|