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Item #:
167678340
GIS Programming in Practice: Automate, Analyze, and Visualize Spatial Data Using Python, GeoPandas, and Open-Source Tools
Item #:
167678340
ILS 71
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What Stands Out
Hands-On Approach
This guide emphasizes practical applications of GIS programming, equipping users with the skills to automate spatial data tasks effectively for real-world scenarios.
Open-Source Tools
Leverages widely-available open-source tools, allowing users to implement cost-effective solutions that enhance accessibility and community engagement in GIS programming.
Comprehensive Coverage
Covers Python and GeoPandas extensively, enabling a robust understanding of spatial data analysis, leading to improved user competency and confidence in GIS projects.
Product Details
- Tired of manual GIS processes? Elevate your skills and career with Python-powered geospatial automation.GIS Programming in Practice is designed for ambitious GIS professionals, data scientists, and Python developers who want to tackle large-scale spatial challenges. This comprehensive guide empowers you to build scalable, efficient, and robust solutions for analyzing and visualizing spatial data.Move beyond basic scripting and learn to integrate your Python GIS projects with powerful databases and cloud platforms. Discover strategies for handling large geospatial datasets and optimizing performance, making your applications ready for real-world demands.Key Features:Advanced Automation: Implement sophisticated scripts for complex GIS workflows and data pipelines.Database Integration: Master storing and querying spatial data with PostGIS and connecting via Python (Psycopg2, SQLAlchemy).Cloud GIS: Understand how to leverage AWS, Google Cloud, and Azure for scalable geospatial processing and storage.Performance Optimization: Learn techniques like chunking, parallel processing, and spatial indexing for faster queries and efficient memory management.Geospatial Machine Learning: A practical introduction to spatial regression, clustering, and feature engineering for predictive mapping.Professional Development: Adopt essential practices like debugging, unit testing, and version control with Git for collaborative projects.Become the go-to expert for geospatial development in your organization. This book provides the deep knowledge and practical examples you need to build cutting-edge open-source GIS solutions.By Jaxon Myles
| Publication date | July 14, 2025 |
| Language | English |
| File size | 1.3 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 700 pages |
| Page Flip | Enabled |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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GIS Professionals
Ideal for GIS analysts and developers looking to enhance their workflow with automation and spatial data visualization techniques.
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Data Scientists
Data scientists seeking to incorporate spatial analysis capabilities into their projects using Python and open-source frameworks.
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Students & Researchers
Students and researchers studying GIS can benefit from practical examples and hands-on projects to strengthen their skills.
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Absolute Beginners
Not suitable for individuals who have no prior experience in programming, Python, or GIS concepts.
Product Description
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Features & Benefits
- Transform your GIS workflows with Python automation.
- Designed for GIS professionals, data scientists, and Python developers.
- Master spatial data management with Database Integration (PostGIS).
- Leverage cloud platforms (AWS, Google Cloud, Azure) for scalable GIS.
- Optimize performance with techniques like parallel processing and chunking.
- Gain practical insights into Geospatial Machine Learning for advanced analytics.
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