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Search - 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 MapboxGLJupyter
Author: Silas Toms, Eric van Rees, Paul Crickard

Explore GIS processing and learn to work with various tools and libraries in Python.Key FeaturesAnalyze and process geospatial data using Python libraries such as; Anaconda, GeoPandasLeverage new ArcGIS API to process geospatial data for the cloud.Explore various Python geospatial web and machine learning frameworks.Book DescriptionPython comes ... more »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 learnManage 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 ForThe 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.Table of ContentsPackage installation and managementIntroduction to geospatial code librariesIntroduction to geospatial databasesData types, storage and conversionVector data analysisRaster data processingGeoprocessing with geodatabasesAutomating QGIS analysisArcGIS API for Python and ArcGIS OnlineGeoprocessing with a GPU DatabaseFlask and GeoAlchemyGeoDjangoCreating a geospatial REST APICloud Geodatabase Analysis and VisualizationAutomating Cloud CartographyPython geoprocessing with Hadoop

ISBN-13: 9781788293334
ISBN-10: 1788293339
Publication Date: 4/27/2018
Pages: 440
Rating:

0 stars, based on 0 rating

Publisher: Packt Publishing
Book Type: Paperback
Members Wishing: 0
Reviews: Amazon | Write a Review

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