Haifeng Niu

Haifeng Niu

PhD Candidate

University of Cambridge

Biography

I am a PhD candidate in Lab of Interdisciplinary Spatial Analysis at the department of Land Economy, University of Cambridge. My main research interests cover urban big data mining, data-driven analysis for urban planning & policy and simulation of urban dynamics.

Download my resumé.

Interests
  • Urban Big Data Mining
  • Geospatial analysis
  • Urban Computation
  • Urban Dynamic Simulation
Education
  • PhD Candidate in Land Economy, 2017-Present

    University of Cambridge, United Kingdom

  • M.E in Urban and Rural Planning, 2014-2017

    Huazhong University of Science and Technology, China

  • B.S. in Resources, Environmental Science and Urban&Rural Planning Management, 2010-2014

    Sichuan Agricultural University, China

Projects

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30DayMapChallenge 2020 (External)

30DayMapChallenge 2020 (External)

An link to an github repo 30DayMapChallenge-bot.

London POI Classes Embedding

London POI Classes Embedding

This project use the neural word embedding technique (Doc2Vec) to explore Points of Interest (POIs) data especially in the relationship between POI Classes.

London POIs (External)

London POIs (External)

An link to an private project on github london-pois-data.

Spatial Analysis and Modelling (External)

Spatial Analysis and Modelling (External)

Course material for Spatial Analysis and Modelling.

Centre for Digital Built Britain 2018 Mini Porject

Centre for Digital Built Britain 2018 Mini Porject

This project focuses on the crowdsourced data harvesting and data- mining of the multi-dimensional mechanisms of urban segregation combining the geo-coding of information with the rich attributes of this type of data. This project will conduct pilots at Cambridge in the UK and then compare it with prior study of Ningbo in China from an international perspective.

London Tweets (External)

London Tweets (External)

An link to an private project on github london-tweets.

Teaching Experience

Spatial Analysis and Modelling (available online)
Course Coordinator & Supervisior
Coordinating whole course and give supervision to Mphil students. Build website for students to access material online.
Mphil Dissertation Presentation
Second Panelist
Quantitative Research Methods
Supervisior
Supervising introduction and practices of Geographic Information System for Mphil students.
Graduate Project
Supervisior
Supervising graduate work for undergraduate students.

Skills

QGIS
Python
R
Statistics
SQL
Git

Contact

  • Department of Land Economy, 19 Silver Street, Cambridge, United Kingdom, CB3 0BL