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Over 60 recipes to work with topology, overlays and indoor routing

Home Page: https://www.packtpub.com/big-data-and-business-intelligence/python-geospatial-analysis-cookbook

License: MIT License

Shell 0.09% Python 14.22% JavaScript 82.91% CSS 0.27% HTML 2.14% Makefile 0.06% PLpgSQL 0.31%
django python geospatial-analysis

python-geospatial-analysis-cookbook's Introduction

python-geospatial-analysis-cookbook

Welcome to the code repository for "Python Geospatial Analysis Cookbook" over 60 python recipes to perform spatial operations and of course build an indoor routing Django web application.

Please post any comments and questions directly as an issue/ticket here in the GitHub Repo.

If you are interested in more about indoor routing see Chapter 10 and Chapter 11. Also please visit the Github repo INDRZ https://www.github.com/indrz to see the official indoor routing and mapping code. The project homepage is indrz

Code for the book Python Geospatial Analysis Cookbook.

Description

A book for developoers, gis programmers, analysts, researchers, gis geeks, IT administrators who ever that want to dabble with python and geospatial analysis.

The reciepes are short and long, full of descriptions and code comments. The book takes you on a journey from installation of spatial libraries to executing fun analysis in a cookbook like tutorial.

Technologies pyshp, gdal, ogr, proj4, django, jinja2, Shapely, folium, matplotlib, networkx, numpy, pandas, psycopg2, pyproj, bootstrap, jquery, typeahead.js, bloodhound.js, openlayers, leaflet

With pip you can install:

pip install [location-path]/master.zip

Or directly from GitHub like this:

pip install https://github.com/mdiener21/python-geospatial-analysis-cookbook/archive/master.zip

Updates

Page number: 46 Currently step 7 includes

sudo su createdb –O pluto –U postgres py_geoan_cb

Correction is:

sudo -u postgres createdb -U postgrs -P pluto py_geoan_cb"

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python-geospatial-analysis-cookbook's Issues

Quick way to get indoor results ?

Very very nice job !

Would you suggest an easier and quicker way to find shortest indoor path relying on the following context ?

  • input: .osm / .geojson data
  • output: geojson feature LineString

... Knowing that we could have stairs, escalators, elevator, doors, etc...

Question on the file

Dear Michael,

I have a question on the file ch07-02_elev_profile.py. What do the numbers at the input of LineString mean? - [(-13659328.8483806, 6450545.73152317), (-13651422.7820022, 6466228.25663444)].

QhullError

Hello,

Thank you for your hard work with this module. I am trying to get the centreline of a complex polygon and I am getting the following error:
QhullError: QH6214 qhull input error: not enough points(2) to construct initial simplex (need 4)

I was wondering if you would know what to do about this issue.

Thanks

different floor layers are connected without stairs / elevators

Hello,

I have tried to create a simple route network. I followed the tutorial steps. Im wondering why it is possible to route over different floors without having placed any stairs or elevators in the network lines. I have two layers with route network lines having the two attributes type "indoor way" and type_id "0". Currently just facing the problem that different layers get connected at intersecting floor route points of indoor ways.

Missing ch11 code files.

Hello,
I recently purchased your book and am now working my way through Chapter 11. On page 267, steps 1 and 2 import shapefiles e01_room_data.shp and e02_room_data.shp, respectively. However, I am unable to locate these files. Do you know how I might get (or generate) them?
Thanks,

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