Korstanje, Joos
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
- ISBN 13:
- 9781484282861
- author:
- Korstanje, Joos
- format:
- Paperback / softback
- publisher:
- APress
- language:
- English
- Publication Year:
- 2022
- Pages:
- 312
- Dimensions:
- 25.4 x 17.8 centimetres (0.62 kg
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Get started with geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This introduction to geodata covers the basics of working with GIS tools, standard formats for geographical data, and an overview of Python tools for geodata.
Learn how to work with multiple geographical data types and file formats in Python, create maps, and apply machine learning techniques to geographical data. The book includes examples using code available on GitHub, making it easy to learn by application.
This book is ideal for readers with a basic understanding of machine learning who want to extend their skill set to analysis and machine learning on spatial data, all within a common Python environment.
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