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

Toms, Silas; Rees, Eric Van; Crickard, Paul

 
9781788293334: Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
Couverture souple
ISBN 10 : 1788293339 ISBN 13 : 9781788293334
Editeur : Packt Publishing, 2018

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Packt Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
1788293339
ISBN 13 
9781788293334
Reliure
Broché
Nombre de pages
440
Coordonnées du fabricant
non disponible
Personne responsable
non disponible