Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

By Silas Toms, Paul Crickard and 1 more

$43.99$29.99

BookEllipseApr 2018Ellipse440 pagesEllipse1st Edition

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Key benefits

    • [
    • ] Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas
    • [
    • ] Leverage new ArcGIS API to process geospatial data for the cloud.
    • [
    • ] Explore various Python geospatial web and machine learning frameworks.

Book description

Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.

Who is this book for?

The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.

What you will learn

[*] Manage code libraries and abstract geospatial analysis techniques using Python 3. [*] Explore popular code libraries that perform specific tasks for geospatial analysis. [*] Utilize code libraries for data conversion, data management, web maps, and REST API creation. [*] Learn techniques related to processing geospatial data in the cloud. [*] Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite.

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Product Details


Publication date :

Apr 27, 2018

Length :

440 pages

Edition :

1st Edition

Language :

English

ISBN-13 :

9781788293334

Category :

Product Details


Publication date :

Apr 27, 2018

Length :

440 pages

Edition :

1st Edition

Language :

English

ISBN-13 :

9781788293334

Category :

What do you get with eBook? Show details

Feature iconInstant access to your Digital eBook purchase
Feature iconDownload this book in EPUB and PDF formats
Feature iconAI Assistant (beta) to help accelerate your development
Feature iconAccess this title in our online reader with advanced features
Feature iconDRM FREE - Read whenever, wherever and however you want

Product Details


Publication date :

Apr 27, 2018

Length :

440 pages

Edition :

1st Edition

Language :

English

ISBN-13 :

9781788293334

Category :

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Table of Contents

23 Chapters


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Authors (3)

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Eric van Rees
Eric van Rees was first introduced to Geographical Information Systems (GIS) when studying Human Geography in the Netherlands. For 9 years, he was the editor-in-chief of GeoInformatics, an international GIS, surveying, and mapping publication and a contributing editor of GIS Magazine. During that tenure, he visited many geospatial user conferences, trade fairs, and industry meetings. He focuses on producing technical content, such as software tutorials, tech blogs, and innovative new use cases in the mapping industry.
Mr. Silas Toms
Silas Toms is a long-time geospatial professional and author who has previously published ArcPy and ArcGIS and Mastering Geospatial Analysis with Python. His career highlights include developing the real-time common operational picture used at Super Bowl 50, building geospatial software for autonomous cars, designing computer vision for next-gen insurance, and developing mapping systems for Zillow. He now works at Volta Charging, predicting the future of electric vehicle adoption and electric charging infrastructure.
Paul Crickard
Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.

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