Archives for posts with tag: animation

As parking areas begin to cluster based on proximity to each other, the shortest distance is mapped to the subway tunnel. This process starts to reveal potential hotspots for interventions.

tunnel intervention locations from Jie Huang on Vimeo.

The underground component of the 1.5 miles of the subway is alluring, but it is just as important to familiarize ourselves with the above ground conditions. Where might potential generative armatures begin? What will they connect?  This animated route took us by at least a few parking lots and garages.  What about the vacant lots or excessively wide streets?

These animations show further development on the Grasshopper models seen from a previous post.   By using the proximity component [in green], I am able to create an animation mapping distances among the various parking areas to each other.  This allows us to see where clusters begin to appear/form and perhaps become potential opportunities for interventions.

top view


1892 Diagram-Genesee River from Jie Huang on Vimeo.

perspective view


1892 Diagram-Genesee River from Jie Huang on Vimeo.

I spent a little time trying to create a 3D diagram of my thesis through Grasshopper.  It’s in its early stages and should evolve into something more complex.

Thesis Web from Jie Huang on Vimeo.

I’ve combined the 3 animations from my previous post, but they are a little hard to read as separate networks. Perhaps we want to read the three layers as one system?

1982 Diagram-RiverCanalRR from Jie Huang on Vimeo.

Rochester’s layers of infrastructural networks illustrate a complex history.  As I dissect the layers both in time and by system, I hope to reveal an underlying structure significant to Rochester’s current and future development.

1892 Diagram-Genesee River from Jie Huang on Vimeo.

1892 Diagram-Genesee River from Jie Huang on Vimeo.

1892 Diagram-Genesee River from Jie Huang on Vimeo.

These Grasshopper animations begin with tracing the 1892 paths of the river, canal and railroad.  Each system is then  divided into equal segments with a voronoi diagram attached to each division point.  As the number of divisions increase, the amount of system’s influence also became more clear.  The next step is to merge the 3 networks and study their interactivity.