1- Learning Geospatial Analysis with Python (2019)
Book's Codes
Preface
The book starts by giving you the background of geospatial analysis, and then offers a flow of the techniques and technology used and splits the field into its component specialty areas, such as Geographic Information Systems (GIS), remote sensing, elevation data, advanced modeling, and real-time data. The focus of the book is to lay a strong foundation in using the powerful Python language and framework to approach geospatial analysis effectively. In doing so, we'll focus on using pure Python as well as certain Python tools and APIs, and using generic algorithms. The readers will be able to analyze various forms of geospatial data, learn about real-time data tracking, and see how to apply what they learn to interesting scenarios. While many third-party geospatial libraries are used throughout the examples, a special effort will be made by us to use pure Python, with no dependencies, whenever possible. This focus on pure Python 3 examples is what will set this book apart from nearly all other resources in this field. We will also go through some popular libraries that weren't in the previous version of the book.
Learning Geospatial Analysis with Python (2015)
2- QGIS Python Programming Cookbook (2015)
Preface
This book exploits the best features of QGIS to demonstrate over 140 reusable recipes, which you can use to automate workflows in QGIS or to build standalone GIS applications. Most recipes are very compact, and even if you can't find the exact solution that you are looking for, you should be able to get close. This book covers a lot of ground and pulls together fragmented ideas and documentation scattered throughout the Internet as well as the results of many hours of experimenting at the edges of the PyQGIS API.
چهارشنبه 6 فروردینماه سال 1399 ساعت 12:05 ب.ظ
