Abstract: Geospatial analysis plays more vital roles in the decision-making process across different industries, including real estate, retail, City & Gov and so on. In this talk, I will walk you through different open source tools and libraries, including CARTOframes, an open-source Python library to visualize and analyze geospatial data. Also, show you how to orchestrate them together to build spatial analysis demos without blood sweat and tears.
Bio: Alvaro Arredondo is a Data Scientist CARTO, where he focuses on applying geospatial knowledge to DS and ML problems. He holds a Master’s degree in Cartographical and Geodetical Engineering, and a degree in Environmental Engineering from the Technical University of Madrid (UPM). He has also performed research in diverse areas, such as hidrogeomorphology, seismic risk assessment and population ecology.
