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Learning Geospatial Analysis with Python - Third Edition

You're reading from  Learning Geospatial Analysis with Python - Third Edition

Product type Book
Published in Sep 2019
Publisher Packt
ISBN-13 9781789959277
Pages 456 pages
Edition 3rd Edition
Languages
Author (1):
Joel Lawhead Joel Lawhead
Profile icon Joel Lawhead
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: The History and the Present of the Industry
2. Learning about Geospatial Analysis with Python 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Using real-time data

Web mashups often use real-time data. Web mashups are amazing and have changed the way many different industries operate. But they are typically limited in that they usually just display pre-processed data on a map and give developers access to a JavaScript API. But what if you want to process the data in some way? What if you want to filter, change, and then send it to another system? To use real-time data for geospatial analysis, you need to be able to access it as point data or a georeferenced raster.

You can find out more about web map mashups here: https://www.esri.com/arcgis-blog/products/product/uncategorized/digital-map-mashups/.

As with examples in the previous chapters, the scripts are as simple as possible and designed to be read from start to finish without much mental looping. When functions are used they are listed first, followed by script variable...

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