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Python Geospatial Development - Second Edition

You're reading from   Python Geospatial Development - Second Edition If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required ‚Äì this book takes you through it all, step by step.

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Product type Paperback
Published in May 2013
Publisher Packt
ISBN-13 9781782161523
Length 508 pages
Edition 2nd 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 (18) Chapters Close

Python Geospatial Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
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. GIS in the Database 7. Working with Spatial Data 8. Using Python and Mapnik to Generate Maps 9. Putting It All Together – a Complete Mapping System 10. ShapeEditor – Implementing List View, Import, and Export 11. ShapeEditor – Selecting and Editing Features Index

Exercises


If you are interested in exploring the techniques used in this chapter further, you might like to challenge yourself with the following tasks:

  • Change the "Calculate Bounding Box" calculation to exclude outlying islands.

    Tip

    Hint

    You can split each country's MultiPolygon into individual Polygon objects, and then check the area of each polygon to exclude those which are smaller than a given total value.

  • Use the World Borders Dataset to create a new shapefile, where each country is represented by a single "Point" geometry containing the geographical center of each country.

    Tip

    Hint

    You can start with the country bounding boxes we calculated earlier, and then calculate the midpoint using:

    midLat = (minLat + maxLat) / 2
    midLong = (minLong + maxLong) / 2

    For an extra challenge, you could use Shapely's centroid() method to calculate a more accurate representation of each country's center. To do this, you would have to convert the country's outline into a Shapely geometry, calculate the centroid...

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