M-CaStLe generalizes local stencil-based causal discovery to the multivariate case and decomposes resulting graphs into reaction and spatial components for interpretation in space-time gridded data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Multi-platform remote sensing and modeling document the arrival and altitude-dependent properties of intercontinental smoke from 2017 Pacific Northwest wildfires over Spain.
citing papers explorer
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M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data
M-CaStLe generalizes local stencil-based causal discovery to the multivariate case and decomposes resulting graphs into reaction and spatial components for interpretation in space-time gridded data.
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Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes
Multi-platform remote sensing and modeling document the arrival and altitude-dependent properties of intercontinental smoke from 2017 Pacific Northwest wildfires over Spain.