Applied Geospatial Data Science with Python
Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
Created by David S. Jordan
Explore how to use Python for geospatial data analysis and modeling to solve real-world environmental challenges. You'll learn to process, visualize, and interpret spatial data, building practical skills that help you communicate insights and drive better decisions.
Packt | Feb 2023 | 308 min
What You Will Learn
You'll start by building a strong foundation in GIS concepts and Python-based data science. Step by step, you'll work through practical examples, learning to handle, analyze, and visualize spatial data. By applying these techniques to real case studies, you'll develop workflows you can use in your own projects.
Key Features
- Integrate spatial data into your data science projects using Python tools
- Create clear, interactive maps to communicate complex geospatial insights
- Apply machine learning to real geospatial problems across multiple industries
Target Audience
Ideal for data scientists and GIS professionals who want to enhance their spatial analysis skills. If you have a working knowledge of Python and want to bring geospatial thinking into your data science or GIS projects, you'll find actionable guidance and hands-on practice to help you grow.
