Qiusheng Wu - Introduction to GIS Programming [2025, PDF, ENG] torrent

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Introduction to GIS Programming

Год издания: 2025
Автор: Qiusheng Wu

Издательство: Leanpub
ISBN: отсутствует
Язык: Английский

Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 553

Описание: Introduction to GIS Programming offers a comprehensive, hands-on introduction to the world of geospatial analysis using Python. Designed for learners of all levels, this book breaks down the complexities of Geographic Information Systems (GIS) into clear, actionable steps, making it ideal for students, researchers, professionals, and self-learners interested in mastering spatial data programming.
Geospatial data has become a key player across numerous fields, including environmental science, urban planning, public health, and business analytics. As the volume and sophistication of this data increase, the need for accessible tools to analyze, process, and visualize it has never been greater. Python, with its rich ecosystem of libraries, is the go-to programming language for working with geospatial data—yet navigating the wide array of libraries and concepts can be overwhelming. This book provides the structure and clarity needed to move from Python novice to confident geospatial programmer.
What sets this book apart is its step-by-step, example-driven approach. Beginning with foundational Python programming skills, you'll build your understanding gradually, progressing to advanced techniques in geospatial analysis. The content is designed to be interactive, with real-world datasets and practical exercises that allow you to apply your skills immediately. You'll work through a variety of projects, from basic spatial data manipulation to building interactive dashboards and cloud-based geospatial applications.
Whether you're looking to automate GIS workflows, develop geospatial web applications, or deepen your spatial data science skills, Introduction to GIS Programming with Python will guide you through the entire process with clarity and confidence.
What You Will Learn:
- Setting Up Your Development Environment: Tools like Miniconda, VS Code, Git, and Google Colab for geospatial programming.
- Core Python Programming: Including data types, control flow, functions, classes, file handling, and libraries like NumPy and Pandas for data manipulation.
- Geospatial Programming: Hands-on instruction with libraries like GeoPandas, Rasterio, Leafmap, and Geemap for working with vector and raster data, performing geospatial analysis, and creating interactive visualizations.
- Advanced Topics: Cloud computing with Google Earth Engine, hyperspectral data analysis, high-performance geospatial analytics, and distributed computing with Apache Sedona.
[spoiler="Примеры страниц (скриншоты)"]

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[spoiler="Оглавление"]
Preface 1
I: Software Setup 9
1. Overview of Software Tools 11
2. Introduction to Python Package Management 15
3. Setting Up Visual Studio Code 28
4. Version Control with Git 36
5. Using Google Colab 47
6. Working with JupyterLab 53
7. Using Docker 62
II: Python Programming Fundamentals 69
8. Variables and Data Types 71
9. Python Data Structures 78
10. String Operations 90
11. Loops and Conditional Statements 101
12. Functions and Classes 110
13. Working with Files 120
14. Data Analysis with NumPy and Pandas 130
III: Geospatial Programming with Python 151
15. Introduction to Geospatial Python 153
16. Vector Data Analysis with GeoPandas 159
17. Working with Raster Data Using Rasterio 177
18. Multi-dimensional Data Analysis with Xarray 196
19. Raster Analysis with Rioxarray 217
20. Interactive Visualization with Leafmap 238
21. Geoprocessing with WhiteboxTools 278
22. 3D Mapping with MapLibre 305
23. Cloud Computing with Earth Engine and Geemap 350
24. Hyperspectral Data Visualization with HyperCoast 423
25. High-Performance Geospatial Analytics with DuckDB 435
26. Geospatial Data Processing with GDAL and OGR 471
27. Building Interactive Dashboards with Voilà and Solara 492
28. Distributed Computing with Apache Sedona 507
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