Book Image

Geospatial Development By Example with Python

By : Pablo Carreira
5 (1)
Book Image

Geospatial Development By Example with Python

5 (1)
By: Pablo Carreira

Overview of this book

From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused. Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.
Table of Contents (17 chapters)
Geospatial Development By Example with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...