Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
Author:   Joos Korstanje
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484282861


Pages:   312
Publication Date:   21 July 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases


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Author:   Joos Korstanje
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.625kg
ISBN:  

9781484282861


ISBN 10:   1484282868
Pages:   312
Publication Date:   21 July 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:  Introduction to Geodata.- Chapter 2:  Coordinate Systems and Projections.- Chapter 3: Geodata Data Types: Points, Lines, Polygons, Raster.- Chapter 4: Creating Maps.- Chapter 5: Basic Operations 1: Clipping and Intersecting in Python.- Chapter 6: Basic Operations 2: Buffering in Python.- Chapter 7: Basic Operations 3: Merge and Dissolve in Python.- Chapter 8: Basic Operations 4: Erase in Python.- Chapter 9: Machine Learning: Interpolation.- Chapter 10: Machine Learning: Classification.- Chapter 11: Machine Learning: Regression.- Chapter 12: Machine Learning: Clustering.- Chapter 13: Conclusion.

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Author Information

Joos Korstanje is a data scientist, with over five years of industry experience in developing machine learning tools. He has a double MSc in Applied Data Science and in Environmental Science and has extensive experience working with geodata use cases. He currently works at Disneyland Paris where he develops machine learning for a variety of tools. His experience in writing and teaching have motivated him to write this book on machine learning for geodata with Python.

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