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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 (17) Chapters Close

Learning Geospatial Analysis with Python Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
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

Web services


Geospatial web services allow users to perform data discovery, data visualization, and data access across the web. Web services are usually accessed by applications based on user input such as zooming an online map or searching a data catalogue. The most common protocols are the Web Map Service (WMS) that returns a rendered map image and Web Feature Service (WFS) that typically returns GML, which was mentioned in this chapter's introduction. Many WFS services can also return KML, JSON, zipped shapefiles, and other formats. These services are called through HTTP GET requests. The following URL is an example of a WMS GET request, which returns a map image of the world that is 640 pixels wide and 400 pixels tall and an EPSG code of 900913:

http://osm.woc.noaa.gov/mapcache?SERVICE=wms&VERSION=1.1.1&REQUEST=GetMap&FORMAT=image/png&WIDTH=600&HEIGHT=400&LAYERS=osm&SRS=EPSG:900913&BBOX=-20037508,-20037508,20037508,20037508

Web services are rapidly evolving...

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