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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Using PostGIS


Now that we have a spatial database, let's see how to access it from Python. Using psycopg2 to access a spatial database from Python is quite straightforward. For example, the following code shows how to connect to the database and issue a simple query:

import psycopg2

connection = psycopg2.connect(database="...", user="...",
                              password="...")
cursor = connection.cursor()
cursor.execute("SELECT id,name FROM cities WHERE pop>100000")
for row in cursor:
    print(row[0],row[1])

The psycopg2.connect() statement opens up a connection to the database using the database name, user, and password you set up when you created and configured the database. Once you have a database connection, you then create a Cursor object against which you can execute queries. You can then retrieve the matching data, as shown in this example.

Let's use psycopg2 to store the World Borders Dataset into a spatial database table and then perform some simple queries against that...

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