-
Hi,
I would like to model marine fish species distribution in function of distance to the coast, depth, and marine habitat taking into account spatial autocorrelation and species interaction. I think…
-
Work with the Williston wetland training data to predict wetland class.
Use ensemble methods with existing covariate data
try adding other open data covariates
try tuning to improve model results
…
-
This issue is about spatial and spatiotemporal cross-validation for model performance evaluation, and is possibly related to Spatiotemporal-Exposures-and-Toxicology/Scalable_GIS#1 .
Paper
+ Area…
-
https://github.com/wikpur/Spacial-Econometrics-Project/blob/f12e530994bb4025f811a1ba6b30d68c48c33c41/Spacial-Econometrics-Project.Rmd#L303
@rsbivand
-
reference (not read yet)
Vogelsang, Timothy J. 2012. “Heteroskedasticity, Autocorrelation, and Spatial Correlation Robust Inference in Linear Panel Models with Fixed-effects.” Journal of Econometrics…
-
Not a stats expert, so perhaps I'm just not understanding. But in the anova function for both glm and lm, whenever I compare two models, no matter what the formulas are, it always reports the differen…
-
Dear Paul,
brms propose many methods to deal with spatially autocorrelated data. Maybe a new path to investigate could be the spatial variation of relationships between dependent variables and predic…
-
Plot of residuals vs fitted values for each model
-
Hello, I am trying to test the spatial auto correlation of my binomial models ran in glmmTMB with the Dharma package. My model has plotID as a random effect to account for sub-plots nested together.
…
-
Dear all,
I found the temporal plot (Fig. 4) in Iturbe et al. (2018) (https://doi.org/10.1016/j.envsoft.2018.09.009) very useful.
I would like to get a quantitative measure of how similar different…