Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7
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Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7
This systematic guide will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7.
Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7
№ на артикул: 86337747

Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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№ на артикул: 86337747

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This systematic guide will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7.
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What Stands Out

Comprehensive Curriculum
This edition offers an extensive curriculum covering geospatial analysis techniques using Python, making it an ideal resource for learners at any level from beginners to advanced practitioners.
Practical Applications
The book emphasizes real-world applications, enabling readers to apply Python skills directly to geospatial problems, thereby enhancing their ability to solve practical issues in various fields.
Updated Tools
Incorporating the latest Python libraries and tools, this edition ensures that readers are equipped with cutting-edge knowledge and skills needed for modern geospatial analysis, setting it apart from earlier versions.

Информация за продукта

Explore GIS fundamentals and use Python 3.7 for remote sensing data analysis. Get the latest 3rd edition of the book at Ubuy Bulgaria, your global online store.
Publisher Packt Publishing
Publication date September 27, 2019
Edition 3rd ed.
Language English
Print length 456 pages
ISBN-10 1789959276
ISBN-13 978-1789959277
Item Weight 1.84 pounds (830 grams)
Dimensions 7.5 x 1.03 x 9.25 inches (19.1 x 2.6 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    This book provides essential skills for analysts seeking to incorporate geospatial data into their analysis processes.

  • GIS Professionals

    Geographic Information Systems specialists will benefit from Python integration for enhanced spatial analysis tasks.

  • Students

    University students in geography, environmental science, or data science can gain practical insights into geospatial techniques.

Not Suitable For
  • Beginners in Programming

    Individuals with no prior programming experience may struggle with the technical concepts presented in the book.

ОПИСАНИЕ НА ПРОДУКТА

Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Bioinformatics Editorial Review

- "This book is a great resource for anyone looking to learn geospatial analysis with Python. The explanations are clear and easy to follow, even for beginners." - "The examples provided in the book are very helpful in understanding how to apply Python for geospatial analysis. I found them to be practical and relevant." - "I appreciated the coverage of remote sensing data analysis in this edition. It's a valuable addition that sets this book apart from others on the subject." - "The author does a fantastic job of breaking down complex concepts into manageable chunks. It makes learning geospatial analysis much less intimidating." - "Overall, I highly recommend this book to anyone interested in learning geospatial analysis with Python. It's comprehensive, well-written, and a great resource."

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Професионалисти

  • Clear explanations make it easy for beginners to understand
  • Practical examples help in applying Python for geospatial analysis
  • Coverage of remote sensing data analysis is a valuable addition
  • Complex concepts are broken down effectively
  • Comprehensive and well-written resource

Product Price History

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Характеристики и предимства

  • Learn GIS fundamentals using Python 3.7
  • Explore GIS tools and libraries such as PostGIS, QGIS, and PROJ
  • Automate geospatial analysis workflows using Python and Jupyter
  • Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library
  • Apply geospatial analysis to real-time data tracking and storm chasing
  • Ideal for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python

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