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- Expert consulting spatial data scientist
- Guiding development of adaptation tracking mechanism for UNDP project
- Provided data science training to executives of largest retail brand in Bangladesh
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Shammunul Islam is a consulting spatial data scientist at the Institute of Remote Sensing, Jahangirnagar University. His guidance is being applied toward the development of an adaptation tracking mechanism for a UNDP project in Bangladesh. He has provided data science training to the executives of Shwapno, the largest retail brand in Bangladesh.
Item #:
19317713
Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
Item #:
19317713
BTN 7272
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Shammunul Islam is a consulting spatial data scientist at the Institute of Remote Sensing, Jahangirnagar University. His guidance is being applied toward the development of an adaptation tracking mechanism for a UNDP project in Bangladesh. He has provided data science training to the executives of Shwapno, the largest retail brand in Bangladesh.
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What Stands Out
Beginner-Friendly Guide
Crafted specifically for beginners, this guide simplifies complex concepts in geospatial analysis, making it accessible for new users of R and QGIS. It encourages hands-on practice for effective learning.
Comprehensive Techniques
Covering a wide array of techniques, this book equips readers with crucial skills in manipulating and managing spatial data efficiently, setting it apart from competitors that may focus on limited methodologies.
Open-Source Tools
Utilizing R and QGIS, both powerful open-source tools, this guide provides cost-effective training for users, ensuring valuable skills without the burden of expensive software, appealing to budget-conscious learners.
Product Details
- Learn the basics of R and QGIS for working with GIS and remote sensing data
- Manage, manipulate, and analyze spatial data using R and QGIS
- Apply machine learning algorithms to geospatial data using R and QGIS
- Gain an understanding of spatial data and how to install R and QGIS
- Create powerful data visualizations using ggplot2, ggmap, raster, and other R packages
- Work with landslide data to create a landslide susceptibility map using machine learning algorithms
| Publisher | Packt Publishing |
| Publication date | November 30, 2018 |
| Language | English |
| Print length | 354 pages |
| ISBN-10 | 1788991672 |
| ISBN-13 | 978-1788991674 |
| Item Weight | 1.47 pounds (670 grams) |
| Dimensions | 7.5 x 0.8 x 9.25 inches (19.1 x 2 x 23.5 cm) |
Who Should Buy?
-
Aspiring Analysts
Perfect for beginners wanting to learn geospatial analysis skills using R and QGIS effectively.
-
Students in Geography
Ideal for students studying geography or environmental sciences who need practical data analysis tools.
-
Data Enthusiasts
Great for hobbyists or professionals looking to enhance their data manipulation and spatial analysis capabilities.
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Advanced Users
Not suitable for experienced geospatial analysts seeking advanced techniques or complex analysis methodologies.
Product Description
Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is 'Hands-On Geospatial Analysis with R and QGIS' about?
Answer: 'Hands-On Geospatial Analysis with R and QGIS' serves as a practical introduction to spatial data manipulation and analysis using the R programming language and QGIS software. The guide covers fundamental concepts such as data management, visualization, and geospatial analytical techniques tailored for beginners. Readers will learn how to apply R and QGIS for real-world applications, enhancing their skills to address various spatial challenges. -
Question:
Who is the target audience for this book?
Answer: This book is designed for beginners who are interested in geospatial analysis but may have little prior experience with R or QGIS. It caters to students, professionals, and hobbyists seeking to explore spatial data management and analysis. The step-by-step approach helps users build a solid foundation in spatial analytics, providing practical examples and exercises to reinforce learning. -
Question:
What kind of projects can I expect to work on with this book?
Answer: Readers can expect to work on a range of projects that involve manipulating and analyzing spatial data using real datasets. The book includes exercises that help you create maps, analyze geographic patterns, and visualize data effectively. Common projects may involve working with environmental data, urban planning, or geographical patterns in demographics, making the learning experience applicable and valuable. -
Question:
Do I need prior knowledge of R or QGIS to understand this book?
Answer: No, prior knowledge of R or QGIS is not required. The book is structured to support beginners, introducing fundamental concepts in both software tools while progressively building skills. Clear explanations, as well as code snippets and practical exercises, help you grasp important concepts without feeling overwhelmed. As such, it serves as an accessible starting point for anyone new to geospatial analysis. -
Question:
What tools do I need to work alongside this book?
Answer: To fully engage with the content, you will need to install R and QGIS (specifically version 3.2.2 as referenced in the book). Both tools are open-source and freely available. Additionally, having access to data sets for practice, which the book may provide links to, will enhance your learning experience. Familiarizing yourself with these tools can create a solid base for applying geospatial analyses in your projects. -
Question:
Will this book help me in my career in geospatial fields?
Answer: Yes, this book provides essential skills and knowledge that are applicable in various careers related to geospatial analysis, such as GIS specialists, urban planners, and data scientists. As industries increasingly rely on spatial data for decision-making, the ability to manipulate and analyze geographic information is highly valued. Completing projects outlined in this book will enhance your resume and equip you for practical challenges in the workplace. -
Question:
Can this book be used for self-study?
Answer: Absolutely, 'Hands-On Geospatial Analysis with R and QGIS' is perfectly suited for self-study. The structured layout, clear explanations, and practical exercises make it an ideal resource for learners who prefer to study independently. Its comprehensive approach ensures that you gain a solid understanding of geospatial analysis at your own pace, empowering you to explore further in this dynamic field. -
Question:
What are the key features of QGIS discussed in the book?
Answer: The book presents key features of QGIS, including data visualization, map creation, and spatial analysis tools. It covers functionalities such as layer management, querying data, and generating sophisticated maps. The practical exercises illustrate how these features can be utilized for real-world applications, making it easier for readers to leverage QGIS capabilities effectively in their projects. -
Question:
Is there any online support for concepts covered in the book?
Answer: Many authors provide supplementary resources or online communities that can support further learning related to the book's content. Readers can often find associated forums, GitHub repositories, or websites offering additional datasets and exercises. Engaging with these online resources can enrich your learning experience and provide a collaborative environment to troubleshoot and share knowledge with fellow learners. -
Question:
Where can I buy 'Hands-On Geospatial Analysis with R and QGIS'?
Answer: You can purchase 'Hands-On Geospatial Analysis with R and QGIS' conveniently through Ubuy in Bhutan. Ubuy provides a user-friendly shopping experience, making it simple to find and acquire this essential resource for geospatial analysis. With easy navigation and various payment options, Ubuy is a reliable platform for accessing this informative guide.
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Pros
- Comprehensive coverage
- User-friendly examples
- Practical exercises
- Updated for QGIS 3.2.2
- Strong community support
Cons
- Steep learning curve
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