Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence McClain Bonny
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial...
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial...
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.
Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.
This book helps you:
Understand the importance of applying spatial relationships in data science Select and apply data layering of
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