Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part
d-stem-LUR: Companion repository for the paper entitled "Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization", GitHub, 2019. The paper is published in the Atmospheric Environment journal
Add a description, image, and links to the space-time topic page so that developers can more easily learn about it.
To associate your repository with the space-time topic, visit your repo's landing page and select "manage topics."