Spatial lag and error regression

[@pedrosa1475]

Thank you!

[@imglenngarcia]

This is hugely helpful, thank you.

[@michaelbrooks9647]

Thanks foe the video, it was easy to understand and follow.

[@janak5147]

Thank you, that was really helpful!

[@nicoaerts7257]

Good explanation

[@mariag3456]

Thanks for nice explanation :)
But I have a question I really need an answer to, so please if anyone could help...
1. I fitted multiple spatial regression models - spatial lag model, spatial error model and spatial durbin model and more. My question is, how do I check the assumptions of normality and homoscedasticity of errors? In classical linear regression, the diagnostics is done on standardized or studentized residuals, but how do I standardize residuals in these spatial models? When I use raw residuals from the spatial models and do QQplot, they always have this "S" shape. Does it mean the models are wrong?
2. The same for weighted version of spatial error model. Which residuals should I use to check the model assumptions?

[@subharthipradhan5987]

Low sound