विधियों की तुलना करें

	पैनल ऑर्डिनरी क्रिगिंग	पैनल स्थानिक प्रतिगमन
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s	1988-2014
प्रवर्तक	Extension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settings	Anselin, Elhorst, and colleagues in spatial econometrics
प्रकार	Geostatistical spatial interpolation	Spatial panel regression
मौलिक स्रोत	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408
उपनाम	ordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolation	spatial panel model, panel spatial econometrics, spatial panel data regression, PSR
संबंधित	6	6
सारांश	Panel Ordinary Kriging extends the classical geostatistical interpolation method — Ordinary Kriging — to panel (longitudinal) datasets where the same set of spatial locations is observed repeatedly over multiple time periods. It produces optimal linear unbiased predictions at unsampled locations for each time slice, accounting for spatial dependence while leveraging the temporal structure of the repeated observations.	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.