Paul Crickard et al.: Mastering Geospatial Analysis with Python

Using Python, a popular language in many fields, easy to use summaries, you can learn professional GIS processing without expensive tools. You can also learn how to process geographic data with the examples of using a variety of Python libraries prepared for analysis of geography, statistical analysis and data management. This book allows us to look at the use of open source and pacifils to process geographic data and to write out actual analysis and code. The book is covered in this book by Python 3 to manage code libraries and abstract geographic analysis techniques Use the popular code library for processing geography and space analysis Using code libraries for data conversion, data management, webmaps and RED APls Technology for using the data processing of geo-station data in cloud, such as Python 3-user databases, SQLBC, and site data. The book is available to students, developers and geo-geospace experts who deal with the GIS data management, analysis techniques, code libraries, and the Python 3-based GlS data management. The book’s first chapter, Package Installation and Management, describes how to install and manage code libraries. Chapter 2, The introduction of the Geospace Code Library deals with the main code library used to process and analyze the data in the geographic space. Chapter 3, the introduction to Geography Database introduces the geographic database used for storing and analyzing data.

Korean title: 파이썬을 활용한 지리공간 분석 마스터하기

Korean author: 폴 크릭커드 외

Korean publisher: 에이콘출판

ISBN-13: 9791161754505