Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

Arrow left icon
Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment 2. The Geocaching App FREE CHAPTER 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Using Python objects as a source of data


Tip

Mapnik for Windows does not come with the Python Datasource plugin and a workaround will be provided for Windows users; just follow the steps.

Data is represented internally on Mapnik by a Datasource object. This object is responsible for accessing the source of the data (for example, a file containing the data, a database, and so on) and transforming the features provided by this source of data into Feature objects. In turn, the Feature object contains a geometry and a number of properties (attributes). This organization is very similar to what we have seen in Chapter 4, Improving the App Search Capabilities, in the topic How geographic data is represented.

If we could hack into a Datasource and provide the features the way we want, we would be able to make Mapnik use Python objects that we provide as a source of data.

The advantage of using a Python object as a Datasource, instead of a file for example, is that we can perform any kind of transformation...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image