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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
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Silas Toms
Paul Crickard Paul Crickard
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Paul Crickard
Eric van Rees Eric van Rees
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Eric van Rees
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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

Rasterio

Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Rasterio aims to make GIS data more accessible to Python programmers and helps GIS analysts learn important Python standards. Rasterio relies on concepts of Python rather than GIS.

Rasterio is an open source project from the satellite team of Mapbox, a provider of custom online maps for websites and applications. The name of this library should be pronounced as raster-i-o rather than ras-te-rio. Rasterio came into being as a result of a project called the Mapbox Cloudless Atlas, which aimed to create a pretty-looking basemap from satellite imagery.

One of the software requirements was to use open source software and a high-level language with handy multi-dimensional array syntax. Although GDAL offers...

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Mastering Geospatial Analysis with Python
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788293334
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