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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

Creating an indoor route from room to room


Routing from room A to room B in an indoor routing web application over multiple floors with routing types brings together all our work up to this point. We will import some room data and utilize our network to then allow a user to select a room, route from one room to the next, and select a type of route.

Getting ready

We need to import a set of room polygons for both the first and second floor as follows:

  1. Import a Shapefile of the first floor room polygons as follows:

    ogr2ogr -a_srs EPSG:3857 -lco "SCHEMA=geodata" -lco "COLUMN_TYPES=name=varchar,room_num=integer,floor=integer" -nlt POLYGON -nln ch11_e01_roomdata -f PostgreSQL "PG:host=localhost port=5432 user=saturn dbname=py_geoan_cb password=secret" e01_room_data.shp
    
  2. Import a Shapefile of the second floor room polygons as follows:

    ogr2ogr -a_srs EPSG:3857 -lco "SCHEMA=geodata" -lco "COLUMN_TYPES=name=varchar,room_num=integer,floor=integer" -nlt POLYGON -nln ch11_e02_roomdata -f PostgreSQL "PG:host...
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