Cooperative identification of advection–diffusion processes with spatially varying coefficients based on a multi-model structure

2017 ◽  
Vol 3 (1-4) ◽  
pp. 103-120 ◽  
Author(s):  
Jie You ◽  
Wencen Wu
Keyword(s):  
Diffusion Processes ◽  
Model Structure ◽  
Varying Coefficients ◽  
Advection Diffusion ◽  
Spatially Varying

scholarly journals Extending multilevel spatial models to include spatially varying coefficients

2019 ◽  
Vol 60 ◽  
pp. 102235 ◽  
Author(s):  
Mark Janko ◽  
Varun Goel ◽  
Michael Emch
Keyword(s):  
Spatial Models ◽  
Varying Coefficients ◽  
Spatially Varying

scholarly journals Random Parameters and Spatial Heterogeneity using Rchoice in R

REGION ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 1-19
Author(s):  
Mauricio Sarrias
Keyword(s):  
Spatial Heterogeneity ◽  
Random Parameters ◽  
Varying Coefficients ◽  
Micro Level ◽  
Modeling Strategy ◽  
Spatially Varying ◽  
Geographical Space

This study focus on models with spatially varying coefficients using simulations.  As shown by Sarrias (2019), this modeling strategy is intended to complement the existing approaches by using variables at micro level and by adding flexibility and realism to the potential domain of the coefficient on the geographical space. Spatial heterogeneity is modelled by allowing the parameters associated with each observed variable to vary “randomly” across space according to some distribution. To show the main advantages of this modeling strategy, the Rchoice package in R is used.

scholarly journals Pulse Solutions for an Extended Klausmeier Model with Spatially Varying Coefficients

2020 ◽  
Vol 19 (1) ◽  
pp. 1-57 ◽  
Author(s):  
Robbin Bastiaansen ◽  
Martina Chirilus-Bruckner ◽  
Arjen Doelman
Keyword(s):  
Varying Coefficients ◽  
Spatially Varying
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