विधियों की तुलना करें

	पैनल ऑर्डिनरी क्रिगिंग	स्थानिक स्वसहसंबंध
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s	1950
प्रवर्तक	Extension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settings	P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
प्रकार	Geostatistical spatial interpolation	Spatial statistic / exploratory spatial data analysis
मौलिक स्रोत	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
उपनाम	ordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolation	spatial dependence, geographic autocorrelation, spatial clustering measure, SA
संबंधित	6	5
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.	Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.