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eBook details

• Title: Learning Geospatial Analysis with Python
• Author : Joel Lawhead
• Release Date : January 27, 2019
• Genre: Computers,Books,Computers & Internet,
• Pages : * pages
• Size : 59767 KB

Description

Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications
Key Features
Create GIS solutions using the new features introduced in Python 3.7
Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ
Learn to automate geospatial analysis workflows using Python and Jupyter
Book Description
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
Who this book is for
This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.

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