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Information Science
Learn the basics of geospatial data analysis by experimenting with examples! It is not only a numerical analysis but also a combination of geospatial data that enables more three dimensional and highly accurate prediction and analysis. It is an introductory book for doing geospatial data analysis in Python. You can easily experiment and output the results using existing public data, sample code provided in the Jupyter Notebook, and open source GIS software called QGIS. It also covers important but often overlooked tips for designing accurate maps and techniques for handling ad-hoc data types in geospatial data analysis.