A dynamic process convolution approach to modeling ambient particulate matter concentrations

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Kernels for Vector-Valued Functions: a Review (2011, methodology): “In [16], two particulate matter (PM) levels measured in the air (10 μm in diameter and 2.”
Considering covariates in the covariance structure of spatial processes (2011, methodology): “Calder (2008) makes use of wind measurements in the kernel convolution approach of Higdon (1998).”
Second-order non-stationary modeling approaches for univariate geostatistical data (2017, background): “Calder (2008), Neto et al. (2014), and Risser and Calder (2015) show how covariates can be incorporated to the convolution modeling approach.”