השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| קריגינג גלובלי× | קריגינג אוניברסלי (קריגינג עם מגמה)× | |
|---|---|---|
| תחום | ניתוח מרחבי | ניתוח מרחבי |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1960s–1993 | 1969 |
| הוגה השיטה≠ | Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics | Georges Matheron |
| סוג≠ | Geostatistical interpolation | Geostatistical interpolation with spatial trend |
| מקור מכונן≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| כינויים | global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| קשורות≠ | 5 | 3 |
| תקציר≠ | Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset. | Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances. |
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