## What is/are Spatial Generalized?

Spatial Generalized - Intercept-only spatial generalized additive models (GAM) were used to evaluate and visualize spatial variation within the RdP community.^{[1]}Spatial variation in odds of acute dengue was modeled using a spatial generalized additive model predicted onto a grid of coordinate pairs covering the Southern Province.

^{[2]}In this paper, we propose to learn pairwise relations among data points in a global fashion to improve semantic segmentation with arbitrarily-structured data, through spatial generalized propagation networks (SGPN).

^{[3]}ABSTRACT Non-Gaussian spatial responses are usually modeled using spatial generalized linear mixed model with spatial random effects.

^{[4]}Topographical analyses were conducted using logistic and multinomial spatial generalized additive models (GAM).

^{[5]}In this article, small area models are proposed for the class of spatial generalized linear mixed models to obtain small area predictors and corresponding second‐order unbiased mean squared prediction errors via Taylor expansion and a parametric bootstrap approach.

^{[6]}First, the spatial generalized mean Ambiguity function of the observations across the array is constructed.

^{[7]}This study develops a Bayesian spatial generalized ordered logit model with conditional autoregressive priors to examine severity of freeway crashes.

^{[8]}In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates.

^{[9]}In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates.

^{[10]}We used spatial Generalized Linear Mixed Models to evaluate the associations between air pollutants and CVD prevalence, adjusting for multiple covariates.

^{[11]}Our results show that in general, max‐stable models yield return level estimates with similar mean squared error, and the spatial generalized extreme value model also provides comparable estimates.

^{[12]}

## spatial generalized additive

Intercept-only spatial generalized additive models (GAM) were used to evaluate and visualize spatial variation within the RdP community.^{[1]}Spatial variation in odds of acute dengue was modeled using a spatial generalized additive model predicted onto a grid of coordinate pairs covering the Southern Province.

^{[2]}Topographical analyses were conducted using logistic and multinomial spatial generalized additive models (GAM).

^{[3]}In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates.

^{[4]}In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates.

^{[5]}

## spatial generalized linear

ABSTRACT Non-Gaussian spatial responses are usually modeled using spatial generalized linear mixed model with spatial random effects.^{[1]}In this article, small area models are proposed for the class of spatial generalized linear mixed models to obtain small area predictors and corresponding second‐order unbiased mean squared prediction errors via Taylor expansion and a parametric bootstrap approach.

^{[2]}We used spatial Generalized Linear Mixed Models to evaluate the associations between air pollutants and CVD prevalence, adjusting for multiple covariates.

^{[3]}