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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry FREE CHAPTER
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

Limitations of real-time data

The term real-time data typically means near-real-time. Some tracking devices capture real-time data and may update as often as several times a second. But the limitations of the infrastructure that broadcasts that data may constrain the output to every 10 seconds or longer. Weather radar is a perfect example. A Doppler Weather Radar (DWR) sweeps continuously but data is typically available online every five minutes. But given the contrast with traditional geospatial data updates, a refresh of a few minutes is real-time enough. Limitations can be summarized as follows:

  • Network bandwidth limitations restricting data size
  • Network latency limiting the data update frequency
  • Availability of the data source due to restrictions such as battery life
  • Lack of quality control due to data being instantly available to consumers
  • Security vulnerabilities due to...
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