Corpus ID: 235669599

The cityseer Python package for pedestrian-scale network-based urban analysis

@article{Simons2021TheCP,
  title={The cityseer Python package for pedestrian-scale network-based urban analysis},
  author={Gareth Simons},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.15314}
}
cityseer-api is a Python package consisting of computational tools for fine-grained street network and land-use analysis, helpful in assessing the morphological precursors to vibrant neighbourhoods. It is underpinned by network-based methods developed from the ground-up for localised urban analysis at the pedestrian scale to provide contextually specific metrics for any given street-front location. cityseer-api computes a variety of node or segment-based network centrality methods, land-use… Expand
1 Citations
Untangling urban data signatures: unsupervised machine learning methods for the detection of urban archetypes at the pedestrian scale
Urban morphological measures applied at a high-resolution of analysis may yield a wealth of data describing varied characteristics of the urban environment in a substantial degree of detail; however,Expand

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