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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
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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

Dealing with the scale problem


The preceding illustration reveals a second problem with the DISTAL system: because the USA including Alaska is over 4,000 miles wide, accurately selecting a 10-mile search radius by clicking on a point on this map would be an exercise in frustration.

To solve this problem, we will implement a zoom feature so that the user can click more accurately on the desired starting point. Because the DISTAL system is implemented as a series of CGI scripts, our zoom feature is going to be rather basic: if the user holds down the Shift key while clicking, we zoom in on the clicked-on point. If the Shift key is not held down when the user clicks, we proceed with the search as usual.

Note

In a real web application, we would implement a complete slippy map interface that supports click-and-drag as well as on-screen controls to zoom both in and out. Doing this is way beyond what we can do with simple CGI scripts, however. We will return to the topic of slippy maps in Chapter...

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