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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
Languages
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Performance

Our DISTAL application is certainly working, but its performance leaves something to be desired. While the selectCountry.py and selectArea.py scripts run quickly, it can take two seconds or more for the showResults.py script to complete. Clearly, this isn't good enough: a delay like this is annoying to the user but would be disastrous for the server if it started to receive more requests than it could process.

Finding the problem

Adding some timing code to the showResults.py script soon shows where the bottleneck lies:

Calculating lat/long coordinate took 0.0110 seconds
Identifying place names took 0.0088 seconds
Generating map took 3.0208 seconds
Building HTML page took 0.0000 seconds

Clearly, the map-generation process is the problem here. Since it only took a fraction of a second to generate a map within the selectArea.py script, there's nothing inherent in the map-generation process that takes this long. So what has changed?

It could be that displaying the place names...

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