Book
Applied Geospatial Data Science with Python
This is a book for anyone who wants to quickly learn to apply spatial thinking and leverage Geospatial Data Science in Python to better comprehend problem statements and come up with the best possible results.
Offered by
Difficulty Level
Intermediate
Completion Time
10h16m
Language
English
About Book
Who Is This Book For?
This book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You’ll need to have a foundational knowledge of Python for data analysis and/or data science.
Applied Geospatial Data Science with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h16m total length
Introducing Geographic Information Systems and Geospatial Data Science
What Is Geospatial Data and Where Can I Find It?
Working with Geographic and Projected Coordinate Systems
Exploring Geospatial Data Science Packages
Exploratory Data Visualization
Hypothesis Testing and Spatial Randomness
Spatial Feature Engineering
Spatial Clustering and Regionalization
Developing Spatial Regression Models
Developing Solutions for Spatial Optimization Problems
Advanced Topics in Spatial Data Science
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