Mastering Geospatial Analysis with Python PDF

Mastering Geospatial Analysis with Python PDF

Name:
Mastering Geospatial Analysis with Python PDF

Published Date:
04/27/2018

Status:
[ Active ]

Description:

Publisher:
PACKT - Packt Publishing, Inc.

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

SKU:

Choose Document Language:
$13.2
Need Help?
ISBN: 9781788293334

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

About This Book

• 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.

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.

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.

In Detail

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.

Style and approach

The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.


Edition : 18
File Size : 1 file , 36 MB
Number of Pages : 431
Published : 04/27/2018
isbn : 9781788293334

History


Related products

C++ Data Structures and Algorithms
Published Date: 04/26/2018
$12
TypeScript Blueprints
Published Date: 07/28/2016
$12
Blackboard Essentials for Teachers
Published Date: 07/26/2012
$9.9

Best-Selling Products

NS-INSTA 110:1985
Published Date: 11/01/1985
Thermal insulation - Thermography of buildings
NS-INSTA 110
Published Date: 11/01/1985
Thermal insulation - Thermography of buildings
NS-INSTA 111:1987
Published Date: 01/01/1987
Thermal insulation - Doors and windows - Determination of thermal resistance by means of a hot box
NS-INSTA 111
Published Date: 01/01/1987
Thermal insulation - Doors and windows - Determination of thermal resistance by means of a hot box
NS-INSTA 112:1988
Published Date: 10/01/1988
Thermal insulation - Physical quantities - Terminology
NS-INSTA 113:1990
Published Date: 12/01/1990
Spray foam sealants - Test methods