Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling

24 Jun 2017Sam KriegmanMarcin SzubertJosh C. BongardChristian Skalka

Satellite imagery and remote sensing provide explanatory variables at relatively high resolutions for modeling geospatial phenomena, yet regional summaries are often desirable for analysis and actionable insight. In this paper, we propose a novel method of inducing spatial aggregations as a component of the machine learning process, yielding regional model features whose construction is driven by model prediction performance rather than prior assumptions... (read more)

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