Code für die Projektion und Interaktion via Tangible User Interface des Q-Scope-Setups (basierend auf dem MIT-CityScope-Projekt) in QUARREE100.
q100viz is based on pygame.
Find some documentation at q-scope.readthedocs.io/
Before you can run the sketch, you need to install required packages:
pip install -r requirements.txtGeodata sources are expected to be found in the data directory. Create it (if it does not exist) and make the basemap image and shapefiles available. Check the file paths in config.py.
Run the sketch:
python run_q100viz.py--main_window: runs canvas in current window--verbose: start in verbose mode--start_at [mode]: which mode to start in? can be any of buildings_interaction, simulation, individual_data_view, total_data_view--simulate_until [YEAR]: define max year of simulation--select_random [N]: select random n buildings...--connect [YEAR]: ... and connect selected buildings to heat grid--refurbish [YEAR]: ... set date for refurbishment of selected buildings--save_energy: ... require selected buildings to enable energy saving--research_model: use research agent-based-model (defined in config.py instead of the standard designated workshop-abm)P key: toggle polygons
M key: toggle basemap
G key: toggle grid
C key: toggle calibration mode
V key: toggle verbose mode --> will print more information and export the canvas.png continuously
In calibration mode:
project qScope
└───cspy
│ └───modified MIT CityScoPy Token Tag Decoder
└───data
| └───outputs
| └───output_[timestamp]
| (simulation-specific output)
| └───buildings_clusters_[timestamp].csv
| (exportierte Gebäudeliste von Frontend)
| └───simulation_parameters_[timestamp].xml
| (xml-Datei mit allen Simulationsparametern zum Starten des headless modes)
| └───connections
| | Export der Anschlussquoten
| └───emissions
| | gebäudespezifische und aggregierte Quartiersemissionen
| └───snapshot
| von GAMA produzierte Grafiken
└───q100_abm
│ │ GAMA workspace folder
│ └───q100
│ │ Trend Model
│ └───models
| │ └───qscope_ABM.gaml
| └───__data__ symlink zu data-Ordner (unten))
└───qScope_infoscreen
│ infoscreen (NodeJS/ JavaScript)
└───qScope_frontend
projection (Python)
where: