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The amount of the available geospatial data grows at an ever faster pace.This leads to the constantly increasing demand for processing power and storagein order to provide data analysis in a timely manner. At the same time, a lotof geospatial processing is visual and exploratory in nature, thus havingbounded precision requirements. We present DeepSPACE, a deep learning-basedapproximate geospatial query processing engine which combines modest hardwarerequirements with the ability to answer flexible aggregation queries whilekeeping the required state to a few hundred KiBs.

DeepSPACE: Approximate Geospatial Query Processing with Deep Learning