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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

Fiona

The Fiona library provides a simple Python API around the OGR library for data access and nothing more. This approach makes it easy to use and is less verbose than OGR while using Python. Fiona outputs GeoJSON by default. You can find a wheel file for Fiona at http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona.

As an example, we'll use the GIS_CensusTract_poly.shp file from the dbfpy example we looked at earlier in this chapter.

First, we'll import fiona and Python's pprint module to format the output. Then, we'll open the shapefile and check its driver type:

>>> import fiona
>>> from pprint import pprint
>>> f = fiona.open("GIS_CensusTract_poly.shp")
>>> f.driver
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