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arXiv · 1910.05571

Geomancer: An Open-Source Framework for Geospatial Feature Engineering

Lester James V. Miranda·Mark Steve Samson·Alfiero K. Orden II·Bianca S. Silmaro·Ram K. De Guzman III·Stephanie S. Sy
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Abstract

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.

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Lester James V. Miranda, Mark Steve Samson, Alfiero K. Orden II, Bianca S. Silmaro, Ram K. De Guzman III, Stephanie S. Sy. 2019-10-12. Geomancer: An Open-Source Framework for Geospatial Feature Engineering. https://arxiv.org/abs/1910.05571

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