  This paper presents Geomancer, an open-source framework for geospatial
feature engineering. It simplifies the acquisition of geospatial attributes for
downstream, large-scale machine learning tasks. Geomancer leverages any
geospatial dataset stored in a data warehouse, users need only to define the
features (Spells) they want to create, and cast them on any spatial dataset. In
addition, these features can be exported into a JSON file (SpellBook) for
sharing and reproducibility. Geomancer has been useful to some of our
production use-cases such as property value estimation, area valuation, and
more. It is available on Github, and can be installed from PyPI.
