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Python Geospatial Analysis Cookbook

You're reading from   Python Geospatial Analysis Cookbook Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment FREE CHAPTER 2. Working with Projections 3. Moving Spatial Data from One Format to Another 4. Working with PostGIS 5. Vector Analysis 6. Overlay Analysis 7. Raster Analysis 8. Network Routing Analysis 9. Topology Checking and Data Validation 10. Visualizing Your Analysis 11. Web Analysis with GeoDjango A. Other Geospatial Python Libraries
B. Mapping Icon Libraries
Index

Calculating indoor route walk time


Our indoor routing application would not be complete without letting us know how long it would take to walk to our indoor walk now, would it? We will create a couple of small functions that you can insert into your code in the previous recipe to print out the route walk times.

How to do it...

  1. Without further ado, let's take a look at some code:

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    
    def format_walk_time(walk_time):
        """
        takes argument: float walkTime in seconds
        returns argument: string time  "xx minutes xx seconds"
        """
        if walk_time > 0.0:
            return str(int(walk_time / 60.0)) + " minutes " + str(int(round(walk_time % 60))) + " seconds"
        else:
            return "Walk time is less than zero! Something is wrong"
    
    
    def calc_distance_walktime(rows):
        """
        calculates distance and walk_time.
        rows must be an array of linestrings --> a route, retrieved from the DB.
        rows[5]: type of line (stairs, elevator, etc)
       ...
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