Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application.

What You Will Learn

• Understand the fundamental concepts of working with geodata
• Work with multiple geographical data types and file formats in Python
• Create maps in Python
• Apply machine learning on geographical data

Who This Book Is For
Readers with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment

本書將帶領讀者使用Python進行地理信息系統（GIS）、地理空間分析和機器學習的基礎知識。書中首先介紹地理數據，包括GIS和常用工具、地理數據的標準格式以及Python工具的概述。書中討論了使用地理數據時可能遇到的具體問題和困難，從坐標系統和地圖投影到不同的地理數據格式和類型，如點、線、多邊形和光柵。書中解釋了通常應用於地理數據的分析操作，如裁剪、相交、緩衝、合併、溶解和擦除，並提供了Python的實現。書中包含了使用案例和示例。本書還重點介紹了如何將更高級的機器學習方法應用於地理數據，並通過示例和應用案例介紹了插值、分類、回歸和聚類。本書是您在地理數據上進行機器學習的首選資源。它介紹了處理空間數據和高級應用的基礎知識。書中使用代碼示例（可在github.com/Apress/machine-learning-geographic-data-python上找到），並通過應用來促進學習。

您將學到什麼

• 了解處理地理數據的基本概念


• 在Python中處理多種地理數據類型和文件格式


• 在Python中創建地圖


• 將機器學習應用於地理數據