Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7,3rd Edition
Authors: Joel Lawhead
ISBN-10: 1789959276
ISBN-13: 9781789959277
Released: 2019-09-27
Print Length 页数: 456 pages
Publisher finelybook 出版社: Packt
Book Description
Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications
Geospatial analysis is used in almost every domain you can think of,including defense,farming,and even medicine. With this systematic guide,you’ll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python.
This book will take you through GIS techniques,geodatabases,geospatial raster data,and much more using the latest built-in tools and libraries in Python 3.7. You’ll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore,you’ll learn how to apply simple Python GIS geospatial processes to a variety of problems,and work with remote sensing data.
By the end of the book,you’ll be able to build a generic corporate system,which can be implemented in any organization to manage customer support requests and field support personnel.
What you will learn
Automate geospatial analysis workflows using Python
Code the simplest possible GIS in just 60 lines of Python
Create thematic maps with Python tools such as PyShp,OGR,and the Python Imaging Library
Understand the different formats that geospatial data comes in
Produce elevation contours using Python tools
Create flood inundation models
Apply geospatial analysis to real-time data tracking and storm chasing
contents
1 Learning about Geospatial Analysis with Python
2 Learning Geospatial Data
3 The Geospatial Technology Landscape
4 Geospatial Python Toolbox
5 Python and Geographic Information Systems
6 Python and Remote Sensing
7 Python and Elevation Data
8 Advanced Geospatial Python Modeling
9 Real-Time Data
10 Putting It All Together
