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AirBnB and neighborhood disruption

May 9th, 2017

This projects uses GIS and spatial statistics to understand the demand and supply of AirBnb in various London neighborhoods. Based on these findings, a simple predictive model was also created to predict the likelihood of Airbnb popularity in London.

poster

  • GIS (1) ,
  • R (6) ,
  • Spatial Analysis (2) ,
  • Regression (1)

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