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Mastering Geospatial Analysis with Python

You're reading from   Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Length 440 pages
Edition 1st Edition
Languages
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Authors (3):
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Silas Toms Silas Toms
Author Profile Icon Silas Toms
Silas Toms
Paul Crickard Paul Crickard
Author Profile Icon Paul Crickard
Paul Crickard
Eric van Rees Eric van Rees
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Eric van Rees
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Toc

Table of Contents (18) Chapters Close

Preface 1. Package Installation and Management 2. Introduction to Geospatial Code Libraries FREE CHAPTER 3. Introduction to Geospatial Databases 4. Data Types, Storage, and Conversion 5. Vector Data Analysis 6. Raster Data Processing 7. Geoprocessing with Geodatabases 8. Automating QGIS Analysis 9. ArcGIS API for Python and ArcGIS Online 10. Geoprocessing with a GPU Database 11. Flask and GeoAlchemy2 12. GeoDjango 13. Geospatial REST API 14. Cloud Geodatabase Analysis and Visualization 15. Automating Cloud Cartography 16. Python Geoprocessing with Hadoop 17. Other Books You May Enjoy

Cloud geodatabase solutions


Cloud storage of geospatial data has become a common part of many GIS architectures. Whether it is used as a backup to an on-premises solution, replaces an on-premises solution, or is combined with a local solution to provide internet support for an intranet-based system, the cloud is a big part of the future of GIS. 

With ArcGIS Online, CARTO, MapBox, and now MapD, the options for a cloud data store that support geospatial data are more numerous than ever. Each offers a visualization component and a different type of data storage and each will integrate with your data and software in different ways.

ArcGIS Online, while also offering stand-alone options (that is, direct data upload), integrates with ArcGIS Enterprise (formerly ArcGIS Server) to consume enterprise REpresentational State Transfer (REST) web services that are stored on a local geodatabase. ArcGIS Online is built on top of Amazon Web Services (AWS) and all of the server architecture is hidden from...

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