SXL: Spatially explicit learning of geographic processes with auxiliary tasks

18 Jun 2020Konstantin KlemmerDaniel B. Neill

From earth system sciences to climate modeling and ecology, many of the greatest empirical modeling challenges are geographic in nature. As these processes are characterized by spatial dynamics, we can exploit their autoregressive nature to inform learning algorithms... (read more)

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