0 ratings
Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
genuine image
Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing.
Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
Item #: 92488558

Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

85% of respondents would recommend this to a friend

Item #: 92488558

€ 50

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Friday, October 09
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing.
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
american express payment
eps payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.

What Stands Out

Practical Techniques
Offers hands-on methods for mastering GIS and remote sensing, ensuring learners can apply concepts in real-world scenarios effectively.
Updated Content
The 4th edition provides the latest advancements in geospatial analysis, ensuring relevance and up-to-date information for modern applications.
Python 3 Focus
Centrally features Python 3, equipping users with essential programming skills tailored for geospatial tasks and empowering them for future projects.

Product Details

Shop Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing online at a best price in Austria. 1837639175
Publisher Packt Publishing
Publication date November 24, 2023
Edition 4th
Language English
Print length 432 pages
ISBN-10 1837639175
ISBN-13 978-1837639175
Item Weight 1.63 pounds (740 grams)
Dimensions 7.5 x 0.98 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • GIS Students

    Ideal for university students studying Geographic Information Systems, seeking hands-on Python experience for data analysis projects.

  • Data Analysts

    Data professionals looking to enhance their skills in geospatial analysis and leverage Python for location-based data insights.

  • Remote Sensing Enthusiasts

    Individuals interested in remote sensing applications can benefit from practical Python techniques highlighted in this edition.

Not Suitable For
  • Beginners to Programming

    Those without programming experience may find the content challenging without foundational knowledge in Python.

Product Description

Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What are the key features of Learning Geospatial Analysis with Python - Fourth Edition?

    Answer: This edition focuses on enhancing your GIS and remote sensing skills using Python 3. Key features include practical techniques for data manipulation, visualization, and analysis of geospatial data. The book covers libraries such as Pandas, GeoPandas, and Matplotlib, providing hands-on examples and projects. These features empower students and professionals in fields like urban planning and environmental science to efficiently analyze spatial data, improving decision-making processes and facilitating data-driven insights.
  • Question: Is this book suitable for beginners in geospatial analysis?

    Answer: Yes, Learning Geospatial Analysis with Python is suitable for beginners. The book starts with foundational concepts before progressing to more advanced techniques, ensuring a gradual learning curve. Additionally, it includes clear explanations and practical examples, which helps newcomers grasp complex ideas effectively. Many readers have successfully transitioned from novice users to competent practitioners, applying the learned skills in various fields such as geography, environmental studies, and even software development.
  • Question: What programming knowledge is required to benefit from this book?

    Answer: While prior knowledge of Python is beneficial, it is not mandatory. The book assumes a basic understanding of programming concepts and provides explanations of Python syntax as needed. This helps readers who may not have extensive experience with Python to grasp geospatial analysis effectively. For practical application, users can expect scenarios that involve real-world data sets, making the learning experience relatable and applicable across various professions including data science and geography.
  • Question: Can I use this book for self-study?

    Answer: Absolutely, this book is an excellent resource for self-study. It is structured in a way that allows learners to follow along at their own pace, with each chapter building on the last. The hands-on projects encourage practical application of concepts, making them suitable for individuals looking to enhance their geospatial analysis skills. Self-learners in fields such as urban planning or environmental science can leverage the techniques learned to elevate their analytical capabilities.
  • Question: Does this edition include updates or new technologies in geospatial analysis?

    Answer: Yes, the Fourth Edition includes updated content covering the latest tools and techniques in geospatial analysis, reflecting advancements in Python 3 and related libraries. Readers will find new chapters that delve into modern practices like machine learning integration within geospatial frameworks. This ensures that users are equipped with relevant and cutting-edge skills applicable in industries such as data analysis, remote sensing, and geographic information systems.
  • Question: Are there practical examples or case studies included in the book?

    Answer: Yes, the book incorporates numerous practical examples and case studies throughout its chapters. These scenarios are designed to demonstrate how geospatial analysis techniques are applied in real-world contexts. Readers can expect case studies that cover various applications, from urban development to disaster management, providing valuable insights into the practical significance of the skills being taught and enhancing the learning experience.
  • Question: How does this book address remote sensing in geospatial analysis?

    Answer: The book thoroughly addresses remote sensing, providing foundational concepts alongside advanced techniques for analyzing remote sensing data. It demonstrates how to use Python tools for processing satellite imagery, performing classification tasks, and extracting meaningful insights from geospatial layers. This is particularly useful for researchers and professionals in fields like environmental monitoring and resource management, as it offers crucial techniques for managing and interpreting complex datasets.
  • Question: Can I find guidance on data visualization within this book?

    Answer: Yes, Learning Geospatial Analysis with Python includes comprehensive guidance on data visualization. Readers will learn how to create compelling maps and visual representations of spatial data using libraries like Matplotlib and Folium. This is crucial for professionals who need to present their analysis in visually intuitive formats, helping stakeholders understand complex spatial relationships and patterns in sectors such as urban planning, environmental management, and geographic research.
  • Question: What makes this book stand out from other geospatial analysis books?

    Answer: This book stands out due to its practical approach and integration with contemporary Python libraries. Unlike many traditional textbooks, it focuses on hands-on learning, emphasizing real-world applications and case studies that make complex topics accessible. Moreover, it remains updated with the latest advancements in geospatial analysis, making it relevant and useful for both newcomers and experienced users alike, enhancing their skill set in various evolving industries.
  • Question: Where can I buy Learning Geospatial Analysis with Python - Fourth Edition?

    Answer: You can purchase Learning Geospatial Analysis with Python - Fourth Edition from Ubuy. Ubuy is a reliable e-commerce platform that offers a wide selection of books and resources. By choosing Ubuy, you can ensure a straightforward buying process and access specialized products efficiently, making it a prime destination for acquiring this essential resource in geospatial analysis.

Remote Sensing & GIS Editorial Review

Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing introduces readers to the diverse world of geospatial data processing. The well-structured chapters guide users through essential concepts like geospatial algorithms and remote sensing techniques, making complex topics accessible. Readers appreciated the thoroughness in each section, particularly in practical applications that help solidify understanding. Despite the book being comprehensive, it leaves room for improvement by not fully leveraging advanced libraries that could enhance workflows. Overall, this book serves as a valuable resource, providing a solid foundation for anyone looking to delve into geospatial analysis using Python.

Customer Reviews & Ratings

1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Well-structured and easy to follow chapters
  • Great for beginners in geospatial processing
  • Thorough coverage of GIS concepts and algorithms
  • Includes practical applications and example code
  • Focuses on open-source tools for accessibility

Cons

  • Could include more advanced libraries and tools

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Secure Checkout Global Delivery Easy Returns Genuine Products

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.

€ 50

Order now and get it around Friday, October 09

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Features & Benefits

  • Transform your geospatial analysis skills with Python 3.
  • Discover key GIS tools and libraries like PostGIS and QGIS.
  • Automate workflows and visualize complex data effectively.
  • Build complete geospatial applications for customized outputs.
  • Learn remote sensing and real-time data tracking techniques.
  • Access valuable insights applicable in various domains.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.