Workshop on Scalable GIS - 3D Geoinformation Use Case

Based on the insightful paper and code by Fleischmann et al. (2021) -> https://github.com/martinfleis/numerical-taxonomy-paper

Fleischmann M, Feliciotti A, Romice O and Porta S (2021) Methodological Foundation of a Numerical Taxonomy of Urban Form. Environment and Planning B: Urban Analytics and City Science, doi: 10.1177/23998083211059835

Local installation

Prerequisites: Python 3.8 or higher

If you want to try running the code on your own machine, you need to first create a virtual environment and install the requirements.

First make sure you've cloned the repository to your local machine.

git clone https://github.com/lukasbeuster/3dgeo_scalable_gis.git

Change directories to where you stored the repository (if not already there). Then make the virtual environment & install dependencies.

python3 -m venv .taxonomy
source .taxonomy/bin/activate
pip install -r requirements.txt

Then you can fire up jupyterlab and the notebooks by running:

export SCALABLE_GIS_DATA_PATH='../data/raw_data/'
jupyter lab

Working on the server.

From you home directory, run the following:

git clone http://github.com/RS-DAT/JupyterDaskOnSLURM.git
cd JupyterDaskOnSLURM
python3 -m venv .venv
source .venv/bin/activate
pip install fabric decorator

Then either run :

python runJupyterDaskOnSLURM.py --add_platform

or just substitute the info on config/platforms/platforms.ini with this (make sure that the keypath is actually the path to you ssh key):

[spider] platform = spider host = spider.surf.nl user = stursdat-30 keypath = /Users/YOURUSER/.ssh/rsa_stursdat_30

Then:

python runJupyterDaskOnSLURM.py --uid spider --mode run

And for the password: scalablegis