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

(ebook) (audiobook) (audiobook) Książka w języku 1
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Silas Toms, Paul Crickard, Eric van Rees - okladka książki

Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Silas Toms, Paul Crickard, Eric van Rees - okladka książki

Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Silas Toms, Paul Crickard, Eric van Rees - audiobook MP3

Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Silas Toms, Paul Crickard, Eric van Rees - audiobook CD

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440
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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.


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O autorach książki

Silas Toms is a long-time geospatial professional and author who has previously published ArcPy and ArcGIS and Mastering Geospatial Analysis with Python. His career highlights include developing the real-time common operational picture used at Super Bowl 50, building geospatial software for autonomous cars, designing computer vision for next-gen insurance, and developing mapping systems for Zillow. He now works at Volta Charging, predicting the future of electric vehicle adoption and electric charging infrastructure.
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, Paul Crickard, Eric van Rees - pozostałe książki

Packt Publishing - inne książki

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