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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

Defining the data models

We already know which database objects we are going to need to store the uploaded shapefiles:

  • The Shapefile object will represent a single uploaded shapefile
  • Each shapefile will have a number of Attribute objects, giving the name, data type, and other information about each attribute within the shapefile
  • Each shapefile will have a number of Feature objects which hold the geometry for each of the shapefile's features
  • Each feature will have a set of AttributeValue objects which hold the value for each of the feature's attributes

Let's look at each of these in more detail and think about exactly what information will need to be stored in each object.

The Shapefile object

When we import a shapefile, there are a few things we need to remember:

  • The original name of the uploaded file. We will display this in the "list shapefiles" view so that the user can identify the shapefile within this list.
  • The spatial reference system used by the shapefile. When we...
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