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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st 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 (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

Performing selections


The previous subsetting example is one way to select data. There are many other ways to subset data for further analysis. In this section we'll examine some of them.

Point in polygon formula

We briefly discussed the point in polygon formula in Chapter 1, Learning Geospatial Analysis with Python as a common type of geospatial operation. You'll find it is one of the most useful formulas out there. The formula is relatively straightforward. The following function performs this check using the Ray Casting method. This method draws a line from the test point all the way through the polygon and counts the number of times it crosses the polygon boundary. If the count is even, the point is outside the polygon. If it is odd, then it's inside. This particular implementation also checks to see if the point is on the edge of the polygon:

def point_in_poly(x,y,poly):
   # check if point is a vertex
   if (x,y) in poly: return True
   # check if point is on a boundary
   for i in range...
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