Mastering Geospatial Analysis with Python

Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Nonfiction, Computers, Database Management, Data Processing, Programming, Programming Languages, General Computing
Cover of the book Mastering Geospatial Analysis with Python by Silas Toms, Eric van Rees, Paul Crickard, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Silas Toms, Eric van Rees, Paul Crickard ISBN: 9781788293815
Publisher: Packt Publishing Publication: April 27, 2018
Imprint: Packt Publishing Language: English
Author: Silas Toms, Eric van Rees, Paul Crickard
ISBN: 9781788293815
Publisher: Packt Publishing
Publication: April 27, 2018
Imprint: Packt Publishing
Language: English

Explore GIS processing and learn to work with various tools and libraries in Python.

Key Features

  • 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.

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.

Who this book is 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Explore GIS processing and learn to work with various tools and libraries in Python.

Key Features

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.

What you will learn

Who this book is 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.

More books from Packt Publishing

Cover of the book Instant PageSpeed Optimization by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Python: Beginner's Guide to Artificial Intelligence by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Instant OpenLayers Starter by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Salesforce Platform App Builder Certification Handbook by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book HTML5 and CSS3 Transition, Transformation, and Animation by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Instant Eclipse Application Testing How-to by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book iClone 4.31 3D Animation Beginner's Guide by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Instant PHP Web Scraping by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book BMC Control-M 7: A Journey from Traditional Batch Scheduling to Workload Automation by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Java EE 7 First Look by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Apache Solr Enterprise Search Server - Third Edition by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book GameMaker Game Programming with GML by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Getting Started with BizTalk Services by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Mastering Unity Scripting by Silas Toms, Eric van Rees, Paul Crickard
Cover of the book Learning Laravel's Eloquent by Silas Toms, Eric van Rees, Paul Crickard
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy