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A DATA-DRIVEN URBAN DESIGN TOOLKIT FOR SVERCHOK

MEGA-POLIS is a Data-Driven Urban Design Toolkit. This is an addon for Blender that extends Sverchok addon.

This add-on is part of an ongoing research, and it still very experimental and under HEAVILY development.

While the documentation is not ready, you can check the thesis chapter that describes the tool development here

Also, you can check this demonstration:

Features

At the moment, this add-on includes the following nodes for Sverchok:

Gathering

Read GIS (shapefile, geopackage, geojson)
Read CSV Files
Read DEM (GeoTIFF)
Read LAS (.las)
OSM Downloader
Load Street Network
Download Street Imagery
Download Data URL
Request Data API
Get Pandas Feature
Pandas Dataframe
Pandas Series
Get Sample Dataframe
Split String

Analysis

DEM Terrain Attributes
Network Analyses
Shortest Path
Whitebox GIS Tool (Whitebox Tools Connection)
Isovists
Dataframe Utils
Object Detection (YoloV5)
Detectron (Instance and Panoptic Segmentation based on Detectron2)
Correlation
Correlation With
Get Feature At
Get Feature Index
Linear Model Selection
Model Fit
Model Predict

Generation

Faces from Vertices
CSV to Dataframe
Lat-Lon to Points
Pandas Filter
Pandas Map Feature
Sequential Colormap
Transpose Dataframe
Get File Path
File to Geo Dataframe
File to GeoJSON

Visualisation

Seaborn Plot
WebVR Connector (A-Frame)
Dashboard Creation
Dashboard Bokeh Figure
Dashboard Bokeh Plot Chart
Dashboard Bokeh Plot Line
Dashboard Dataframe
Dashboard Load Map
Dashboard Map
Dashboard Markdown
Dashboard Mesh
Dashboard Plotly Figure
Dashboard Plotly Scatter
Dashboard Server
Dataframe Visualisation
Python Server

Documentation still under development.

Installation

Download and Install Sverchok
Download MEGA-POLIS zip archive from GitHub
In Blender, go to User Preferences > Add-ons > install from file > choose zip-archive > activate flag beside MEGA-POLIS.
Check the add-on options to install all dependencies*.
Save preferences, if you want to enable the add-on permanently.

About Dependencies

The Mapillary depency requires that you install an older version of numpy compared to Sverchok. You can install the older version, then update numpy after install Mapillary

pip install numpy --upgrade

The dependency Visilibity requires Swig

Debian

sudo apt install swig

Arch Linux

sudo pacman -S swig

Windows

You can get the binary from the website or here

The RichDEM dependecy requires GDAL, MPI, and Boost.

Debian

sudo apt install openmpi-bin libgdal-dev libopenmpi-dev libboost-iostreams-dev

Arch Linux

sudo pacman -S boost gdal openmpi

For Windows, check the binaries and compilation process at Boost, GDAL, Open-MPI

The Detectron2 dependecy has no official support for Windows. However, there are some attemps to compile it using Visual C++. You can check the discussion here.

To make sure that all dependencies will be recognised by Blender-Sverchok you can run Blender with the flag

blender --python-use-system-env

LICENSE: GPL-3.

nortikin / mega-polis