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Toote nr:
93078086
Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
85% of respondents would recommend this to a friend
Toote nr:
93078086
€ 70
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What Stands Out
Geospatial Focus
Specializes in geospatial data, enabling readers to effectively analyze and model environmental problems using Python, fostering innovative solutions tailored to real-world challenges.
Practical Applications
Offers hands-on examples and case studies, bridging theory and practice, equipping users with the skills to apply data science techniques to environmental issues.
Python Integration
Leverages Python's capabilities for data analysis and visualization, ensuring that users can work efficiently while handling complex datasets, enhancing their problem-solving toolkit.
Toote üksikasjad
| Publisher | Packt Publishing |
| Publication date | February 28, 2023 |
| Edition | 1st |
| Language | English |
| Print length | 308 pages |
| ISBN-10 | 1803238127 |
| ISBN-13 | 978-1803238128 |
| Item Weight | 1.17 pounds (530 grams) |
| Dimensions | 7.5 x 0.7 x 9.25 inches (19.1 x 1.8 x 23.5 cm) |
Who Should Buy?
-
Environmental Scientists
Ideal for those seeking to analyze environmental data with advanced geospatial techniques for informed decision-making.
-
Data Analysts
Perfect for data analysts wanting to expand their skillset in geospatial analysis using Python for complex datasets.
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GIS Professionals
Beneficial for GIS experts looking to enhance their modeling capabilities and utilize Python in geographical analyses.
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Beginners
Not suitable for complete beginners in programming or data science without prior knowledge of Python or GIS.
TOOTE KIRJELDUS
Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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Machine Theory Editorial Review
Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems is an essential resource for data scientists and GIS professionals. This book provides a comprehensive guide to developing spatial data science workflows using Python. It covers topics such as geographic information systems, data visualization, hypothesis testing, and machine learning models, making it an excellent introduction for beginners as well as a valuable reference for seasoned professionals. Readers appreciate the book's ethical discussions in GIS and easy-to-understand visuals, helping to convey complex concepts effectively. Whether learning to optimize vehicle routes or analyze spatial clustering, this book equips readers with the skills necessary for various applications.
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Plussid
- Comprehensive guide for Python-based geospatial analysis
- Includes practical case studies and code samples
- Covers both basic and advanced geospatial concepts
- Helps visualize complex data for broader audiences
Miinused
- Minor focus on raster analysis in the content
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€ 70
Kui tellid kohe, saad toote kätte Reede, November 13
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