Timeline for Linear Regression and Spatial-Autocorrelation
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 29, 2018 at 15:18 | history | edited | JEquihua | CC BY-SA 4.0 | deleted 28 characters in body |
| Dec 23, 2013 at 19:56 | history | edited | JEquihua | CC BY-SA 3.0 | added 1 characters in body |
| Sep 12, 2012 at 16:42 | vote | accept | JEquihua | ||
| Sep 12, 2012 at 3:01 | history | tweeted | twitter.com/#!/StackStats/status/245718633152671744 | ||
| Sep 12, 2012 at 2:26 | comment | added | Macro | If you do see spatial autocorrelation in the residuals you can include the observations at nearby locations ("spatial lags") as predictors in the model as Sameer suggests. Another option for handling spatial autocorrelation is to model the spatial trend by including a semi-parametrically estimated function of the spatial coordinates using, for example, a generalized additive model. See this related question for more info. | |
| Sep 12, 2012 at 1:50 | answer | added | Sameer | timeline score: 15 | |
| Sep 12, 2012 at 0:47 | history | asked | JEquihua | CC BY-SA 3.0 |