McClain, Bonny P.
Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence
- ISBN 13:
- 9781098104795
- author:
- McClain, Bonny P.
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2022
- Pages:
- 200
- Dimensions:
- 23.3 x 17.8 x 2 centimetres (0.3
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Python for Geospatial Data Analysis: A Practical Guide Discover how to unlock the power of spatial data analysis with Python. This comprehensive guide covers the fundamentals of geospatial data science, helping you understand and apply spatial relationships in your data analysis. Learn to process and visualize spatial information using both proprietary and open source platforms, and automate geographic data with Python scripts. You'll also explore Python packages for additional functionality and work with atypical data types such as polygons, shape files, and projections. By mastering these skills, you'll be able to design informative and accurate maps, apply location data to leverage spatial analytics, and gain a deeper understanding of your data questions.