VENEZIA_SpectralClustering_Comp
Spectral Clustering of Urban Networks
This map of Venice redraws the city into new sestieri based on the spectral clustering of the urban network.
Spectral clustering is particularly useful for analyzing data where where topological links outweigh convex boundaries, that is, when connections a more significant than simple proximity. This makes it an interesting method for the analysis of urban networks where cul-de-sacs, dead ends, physical barriers, or topographic distance can separate two points that are otherwise quite proximate.
Cluster centrality is show by the size and saturation of the dot at each node and the distribution of cluster centrality in the plot at left (with box plot around quartiles). Network links are weighted inversely proportional to their length. You might notice the vaporetto routes are included. At the moment they are not treated differently from any other street or bridge (although being longer links will naturally weight them less than most street segments).
GIS data originally from OpenStreetMap and Piano di Assetto del Territorio of the Comune di Venezia with some modifications. The final network comprises over 11,300 nodes and 12,500 edges.
We will be conducting a workshop at the Singapore pavilion of the Venice Biennale engaging this topic and will hopefully find modifications to this network and to the methods.
VENEZIA_SpectralClustering_Comp
Spectral Clustering of Urban Networks
This map of Venice redraws the city into new sestieri based on the spectral clustering of the urban network.
Spectral clustering is particularly useful for analyzing data where where topological links outweigh convex boundaries, that is, when connections a more significant than simple proximity. This makes it an interesting method for the analysis of urban networks where cul-de-sacs, dead ends, physical barriers, or topographic distance can separate two points that are otherwise quite proximate.
Cluster centrality is show by the size and saturation of the dot at each node and the distribution of cluster centrality in the plot at left (with box plot around quartiles). Network links are weighted inversely proportional to their length. You might notice the vaporetto routes are included. At the moment they are not treated differently from any other street or bridge (although being longer links will naturally weight them less than most street segments).
GIS data originally from OpenStreetMap and Piano di Assetto del Territorio of the Comune di Venezia with some modifications. The final network comprises over 11,300 nodes and 12,500 edges.
We will be conducting a workshop at the Singapore pavilion of the Venice Biennale engaging this topic and will hopefully find modifications to this network and to the methods.