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Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 , Third Edition

Joel Lawhead

£24.99 ~~£35.99~~

3 (3 Ratings)

eBook Sep 2019 456 pages 3rd Edition

Joel Lawhead

£24.99 ~~£35.99~~

3 (3 Ratings)

eBook Sep 2019 456 pages 3rd Edition

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View table of contents Preview Book

Key benefits

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

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.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Sep 27, 2019

Length: 456 pages

Edition : 3rd

Language : English

ISBN-13 : 9781789957938

Category :

Programming

Languages :

Python

Concepts :

Geospatial Analysis

Tools :

QGIS

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14 Chapters

Section 1: The History and the Present of the Industry

Learning about Geospatial Analysis with Python

Technical requirements

Geospatial analysis and our world

History of geospatial analysis

GIS

Remote sensing

Elevation data

Computer-aided drafting

Geospatial analysis and computer programming

The importance of geospatial analysis

GIS concepts

Remote sensing concepts

Common vector GIS concepts

Common raster data concepts

Creating the simplest possible Python GIS

Summary

Further reading

Learning Geospatial Data

Getting an overview of common data formats

Understanding data structures

Understanding spatial indexing

What are overviews?

What is metadata?

Understanding the file structure

Knowing the most widely used vector data types

Understanding raster data types

What is point cloud data?

What are web services?

Understanding geospatial databases

Summary

Further reading

The Geospatial Technology Landscape

Technical requirements

Understanding data access

Understanding computational geometry

Understanding desktop tools (including visualization)

Understanding metadata management

Summary

Further reading

Section 2: Geospatial Analysis Concepts

Geospatial Python Toolbox

Technical requirements

Installing third-party Python modules

Python virtualenv

Conda

Installing GDAL

Python networking libraries for acquiring data

ZIP and TAR files

Python markup and tag-based parsers

Python JSON libraries

Python and Geographic Information Systems

Technical requirements

Measuring distance

Calculating line direction

Understanding coordinate conversion

Understanding reprojection

Understanding coordinate format conversion

Calculating the area of a polygon

Editing shapefiles

Aggregating geometry

Creating images for visualization

Python and Remote Sensing

Technical requirements

Swapping image bands

Creating histograms

Performing a histogram stretch

Clipping images

Classifying images

Extracting features from images

Understanding change detection

Summary

Further reading

Python and Elevation Data

Accessing ASCII Grid files

Creating a shaded relief

Creating elevation contours

Working with LIDAR data

Summary

Further reading

Section 3: Practical Geospatial Processing Techniques

Advanced Geospatial Python Modeling

Technical requirements

Creating a normalized difference vegetative index

Creating a flood inundation model

Creating a color hillshade

Performing least cost path analysis

Converting the route to a shapefile

Routing along streets

Geolocating photos

Calculating satellite image cloud cover

Summary

Real-Time Data

Technical requirements

Limitations of real-time data

Using real-time data

Tracking vehicles

Storm chasing

Reports from the field

Summary

Putting It All Together

Technical requirements

Understanding a typical GPS report

Building a GPS reporting tool

Summary

Further reading

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Customer reviews

Rating distribution

(3 Ratings)

5 star 33.3%

4 star 0%

3 star 33.3%

2 star 0%

1 star 33.3%

Gilberto Nuñez Díaz Nov 21, 2022

Pobre

Amazon Verified review

Pablo Bueno Leal Jul 01, 2021

No lo he terminado pero parece que esta bastante bien!!Pongo 3 estrellas porque las imágenes están en blanco y negro y el texto las describe con colores...

Amazon Verified review

Markus Penzkofer Oct 31, 2020

Guter Überblick über die wichtigsten Themen. Die Programmbeispiele sind ausführlich in Bezug auf das Programmieren erläutert. Ein wenig Theorie zu Geodäsie und GIS sollte man aber bereits beherrschen, sonst ist manche Formel nicht selbsterklärend. Leider konnte ich nicht alle Python Libraries ohne Probleme installieren, sodass manche Beispiele nicht ausführbar waren bzw. manche installierte Libraries führten beim Ausführen zu Fehlern.

Amazon Verified review

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About the author

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

See other products by Joel Lawhead

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Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 , Third Edition

What do you get with eBook?