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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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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 FREE CHAPTER 2. Geospatial Data 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 Modeling 9. Real-Time Data 10. Putting It All Together Index

Retrieving weather data

Next, we will retrieve our final data element: the weather. As mentioned earlier, we will use the WeatherUnderground service that allows us to gather historical weather reports for any place in the world. The weather API is REST-based and JSON-based, so we'll use the urllib module to request the data and the JSON library to parse it. Note that in this section, we cache the data locally so that you can run the script offline to test, if need be. Early on in this section is where you place your WeatherUnderground API key that is flagged by the text, YOUR KEY HERE:

log.info("Creating weather summary")

# Get the bounding box centroid for georeferencing weather data
centx = minx + ((maxx-minx)/2)
centy = miny + ((maxy-miny)/2)

# WeatherUnderground API key
# You must register for free at wunderground.com
# to get a key to insert here.
api_key = "YOUR API KEY GOES HERE"

# Get the location id of the route using the bounding box
# centroid and the...
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