Slop València
València in 3D at 1:1, built with three.js, WebGPURenderer and TSL:
- Ciutat Vella with the Micalet, the cathedral, the Llotja and the Serrans and Quart towers
- the Eixample and Russafa, with the colourful slats of the Mercat de Russafa
- the Jardí del Túria, the Ciutat de les Arts i les Ciències, Mestalla
- the port, the Marina and the Malva-rosa beach
Explore it on foot, by taxi, by bike, by scooter or by helicopter.
Play it (needs a browser with WebGPU)
A remix of Slop Barcelona, itself a remix of
Slop New York: the same engine (traffic, pedestrians, lighting, TSL
materials, cameras, audio) with València's real geography and buildings.
Running it
It's a static site: serve it with any web server (python3 -m http.server) and open index.html in a browser with
WebGPU. The first load downloads about 5 MB (code, buildings, trees and the surrounding orthophoto).
What's real
- Streets, blocks, parks, coastline: OpenStreetMap (
tools/bcn-extract.py, tools/build-bcn-geodata.mjs). World
frame: 1 unit = 1 m, origin at the Plaça de l'Ajuntament, axes rotated −28.6° to match the Eixample grid.
- Buildings: all 20,028 Catastro buildings in the detailed city, at their height measured by PNOA-LiDAR. By area,
94 % of the heights come straight from the LiDAR. Roofs come from the LiDAR too: flat roofs at their real level, 557
gabled roofs and 8,894 rooftop structures. Each roof's colour is taken from the PNOA orthophoto.
tools/realism/build-buildings.py and roof-colors.py produce js/vlc-buildings.bin.gz.
- Facades: a palette measured from open reference photos, assigned by year of construction (Catastro),
neighbourhood and height: the cream stone of the Eixample, the ochre, salmon and red-oxide renders of Ciutat Vella,
1960s-70s brick, grey rationalist render, modern white, and tiled plinths in the Poblats Marítims.
- Landmarks: our own procedural models, sized from each one's LiDAR profile, with collisions that follow their
footprint (
tools/realism/landmark-heights.py → js/vlc-landmark-heights.js).
- Trees: all 86,267 trees of the city's tree inventory in the detailed city, with their species (orange trees, palms,
plane trees…) and height (
fetch-trees.py, build-trees.py → js/vlc-trees.bin.gz).
- Surrounding ground: PNOA orthophoto (
make-ground.py → js/vlc-ground.jpg).
- People: besides the pedestrians on the pavements, the Plaça de l'Ajuntament is full: 700 people strolling,
chatting in groups and stopping to look around (
js/plaza-crowd.js).
- Shops: every shop, bar and restaurant in OpenStreetMap (6,403) has its sign on its own facade, above its window.
The sign only names the trade (FORN, FARMÀCIA, BAR, FRUITERIA…), never the business, with no brands or logos.
Pharmacies carry their green cross and empty premises an ES LLOGA / SE ALQUILA sign
(
tools/shops-extract.py, tools/build-shops.mjs → js/vlc-shops.js, js/shop-signs.js).
- Buses and taxis: buses show real EMT lines and destinations (OpenStreetMap route relations), without the logo.
Taxis are white, as in València, marked TAXI with their licence number.
- Sun: its real position over València (39.47° N) at every time of day.
Checked against data the build doesn't use (tools/realism/verify.py):
| Check | Result |
|---|
| Heights vs the independent 2015 LiDAR flight | median 0.18 m (was 5.18 m) |
| Flat roof level | median 0.11 m |
| Footprints vs Catastro | IoU 0.90 |
| Offset vs LiDAR | 0–1 m |
| Heights of 17 landmarks vs LiDAR | within 2 % |
Rebuilding the data
You need an environment with GDAL, PDAL and GeoPandas (conda-forge: gdal pdal python-pdal geopandas rasterio). The
scripts are in tools/ and fetch from:
- the Catastro download service (with its FNMT root certificate)
- CNIG LiDAR tiles
- the IGN WMTS
- València's CKAN open data API
Tests
node --test tests/*.test.cjs tests/*.test.mjs
Licence and data
The code is under the MIT licence (© Mr.doob and contributors).
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗
