Toms Silas - Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter: summary, description and annotation
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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.
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.
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 approachThe book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.
Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
Toms Silas: author's other books
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Silas Toms
Copyright 2018 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Commissioning Editor: Merint Mathew
Acquisition Editor: Karan Sadawana
Content Development Editor: Zeeyan Pinheiro
Technical Editor: Gaurav Gala
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Indexer: Aishwarya Gangawane
Graphics: Jason Monteiro
Production Coordinator: Deepika Naik
First published: April 2018
Production reference: 1250418
Published by Packt Publishing Ltd.
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ISBN 978-1-78829-333-4
www.packtpub.com
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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.
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.
Silas Toms is a geographer and geospatial developer from California. Over the last decade, Silas has become an expert in the use of Python programming for geospatial analysis, publishing two books on the use of ArcPy. Now, as a President of Loki Intelligent Corporation, Silas develops ETL automation tools, interactive web maps, enterprise GIS, and location data for businesses and governments. Silas teaches classes on programming for GIS with BayGeo, and co-hosts The Mappyist Hour podcast.
Karla King is a Solutions Engineer at a satellite imagery and machine learning start-up. Before joining Descartes Labs, she worked at a handful of geospatial companies in the Bay Area, developing software to create maps for autonomous vehicles and writing technical documentation for Google Earth Engine. Karla got her start in remote sensing monitoring the health of cloud forests in Honduras.
, Package Installation and Management, explains how to install and manage the code libraries used in the book.
, Introduction to Geospatial Code Libraries, covers the major code libraries used to process and analyze geospatial data.
, Introduction to Geospatial Databases, introduces the geospatial databases used for data storage and analysis.
, Data Types, Storage, and Conversion, focuses on the many different data types (both vector and raster) that exist within GIS.
, Vector Data Analysis, covers Python libraries such as Shapely, OGR, and GeoPandas. which are used for analyzing and processing vector data.
, Raster Data Processing, explores using GDAL and Rasterio to process raster datasets in order to perform geospatial analysis.
, Geoprocessing with Geodatabases, shows the readers how to use Spatial SQL to perform geoprocessing with database tables containing a spatial column.
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