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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

Reports from the field

In our final example in this chapter, we'll get off the bus and out into the field. Modern smart phones, tablets, and laptops allow us to update a GIS and view these updates from everywhere. We'll use HTML, GeoJSON, Leaflet JavaScript Library, and a pure Python library named Folium to create a client-server application that allows us to post geospatial information to a server, and then create an interactive web map to view these data updates.

First, we need the web form that shows your current location and updates the server when you submit the form with comments about your location. You can find the form at http://geospatialpython.github.io/Learn/fieldwork.html.

The following screenshot shows you the form:

Reports from the field

You can view the source of this form to see how it works. The mapping is done using the Leaflet library and posts GeoJSON to a unique URL on myjson.com. You can use this page on mobile devices, you can move it to any web server, or even use it on your local...

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