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

Downloading geocaching data


We now have the basic application structure with an entry point; next, we will start writing modules that execute the tasks that the application needs to produce the desired results.

The first thing that we need is to obtain some geocaching data from the Internet, and we want our application to do this for us. There are two common ways of doing this, and they are not restricted only to geocaching data. Many geographical data repositories can be accessed by these methods:

  • Direct download: This is a download similar to what you do in a browser. There is a link, a request is made to this link, and the download starts.

  • REST API: Many services offer this kind of data access. REST (Representational State Transfer) is a way of serving data where a client makes requests with a series of constraints, and the server responds with the result. It's particularly useful because it allows the user to customize the data of interest.

Geocaching data sources

There are many sources...

You have been reading a chapter from
Geospatial Development By Example with Python
Published in: Jan 2016
Publisher:
ISBN-13: 9781785282355
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