Spatially orthogonal factor models for spatial transcriptomics and remote sensing data

Dan Cunha, Lukas M. Weber, Mark A. Friedl +1

Principal component analyses are often applied to spatial data towards inference on latent modes of spatial variation. These analyses are widespread across domains including spatia…