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 Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th 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 (18) Chapters Close

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python FREE CHAPTER 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. Other Books You May Enjoy

PyShp

PyShp is a simple, pure Python library that reads and writes shapefiles. It doesn’t perform any geometry operations and only uses Python’s standard library. It’s contained in a single file that’s easy to move around, squeeze onto small, embedded platforms, and modify. It is also compatible with Python 3. It also implements geo_interface. The PyShp module is available through conda as pyshp.

Let’s repeat the previous OGR example with PyShp:

import shapefile
shp = shapefile.Reader("point.shp")
for feature in shp.shapeRecords():
... point = feature.shape.points[0]
... rec = feature.record[0]
... print(point[0], point[1], rec)
...

We’ll see the following attributes:

1.0 1.0 First
3.0 1.0 Second
4.0 3.0 Third
2.0 2.0 Fourth
0.0 0.0 Appended
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