Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence

Book Description

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.

Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.

This book helps you:

• Understand the importance of applying spatial relationships in data science
• Select and apply data layering of both raster and vector graphics
• Apply location data to leverage spatial analytics
• Design informative and accurate maps
• Automate geographic data with Python scripts
• Explore Python packages for additional functionality
• Work with atypical data types such as polygons, shape files, and projections
• Understand the graphical syntax of spatial data science to stimulate curiosity

中文：

书名：用于地理空间数据分析的Python: 位置智能的理论，工具和实践

在空间数据科学中，彼此更接近的事物可能比相距更远的事物有更多的共同点。通过这本实用的书，地理空间专业人士，数据科学家，业务分析师，地理学家，地质学家以及其他熟悉数据分析和可视化的人将学习空间数据分析的基础知识，以更深入地了解他们的数据问题。

作者Bonny P. McClain演示了为什么检测和量化地理空间数据中的模式至关重要。专有平台和开源平台都允许您处理和可视化空间信息。本书面向熟悉数据分析或可视化的人，他们渴望探索与Python的地理空间集成。

这本书帮助你:

• 理解应用空间关系在数据科学中的重要性
• 选择并应用栅格和矢量图的数据分层
• 应用位置数据利用空间分析
• 设计信息翔实的地图
• 使用Python脚本自动化地理数据
• 探索Python包的其他功能
• 使用多边形、形状文件和投影等非典型数据类型
• 理解空间数据科学的图形语法激发好奇心