Haifeng Niu

Haifeng Niu

Research Associate

University of Cambridge

Biography

I am a Research Associate at the Lab of Interdisciplinary Spatial Analysis, Department of Land Economy, University of Cambridge, currently leading spatial analysis work in the European Union’s Horizon 2020-funded project Emotional Cities(WP4). My expertise includes urban big data mining, spatial data science, geo-visualisation, and urban sensing and modelling. I have a strong interest in how the intersection of machine learning & AI and urban big data better supports urban planning, policy-making and smart management.

DOWNLOAD CV

Interests
  • Big Data Mining
  • Geospatial analysis
  • Urban Computation
  • Urban Dynamic Simulation
  • GeoAI
Education

  • PhD in Land Economy, 2017-2021

    University of Cambridge, United Kingdom

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

    Huazhong University of Science and Technology, China

  • B.Sc. in Resources Environment & the Management of Urban and Rural Planning, 2010-2014

    Sichuan Agricultural University, China

Recent Publications

Quickly discover relevant content by filtering publications.
Using decision-tree methodologies to explore determinants of health and wellbeing outcomes at the local authority scale: the case study of London
Urban health, including physical health and wellbeing, has gained global a ention as cities prioritize policies that promote healthier …
Haifeng Niu, Xinmeng Tu, Elisabete A. Silva
Using decision-tree methodologies to explore determinants of health and wellbeing outcomes at the local authority scale: the case study of London
Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
Large-scale geotagged social media data have been increasingly used for exploring human movement patterns in cities. Challenges of this …
Haifeng Niu, Elisabete A. Silva
PDF DOI
Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
The Road to Recovery: sensing public opinion towards reopening measures with social media data in post-lockdown cities
The Covid-19 pandemic has resulted in cities around the world implementing lockdown measures, causing unprecedented disruption to urban …
Yiqiao Chen, Haifeng Niu, Elisabete A. Silva
PDF DOI
The Road to Recovery: sensing public opinion towards reopening measures with social media data in post-lockdown cities
Delineating urban functional use from points of interest data with neural network embedding: a case study in Greater London
Delineating urban functional use plays a key role in understanding urban dynamics, evaluating planning stra- tegies and supporting …
Haifeng Niu, Elisabete A. Silva
PDF Cite DOI
Delineating urban functional use from points of interest data with neural network embedding: a case study in Greater London
See all publications

Recent Posts

Monitoring 30DayMapChallenge 2020 via Twitter API
As you may know, #30DayMapChallenge event was launched by Topi Tjukanov on Twitter. You can find the repository with detail and helpful resources on Github. It was a digital party for map lovers around the world.
Haifeng Niu
Nov 3, 2020
Monitoring 30DayMapChallenge 2020 via Twitter API
How to set environment for PyQGIS 3 in PyCharm
Prerequirement Install PyCharm Install OSGeo4W Network Installer choose QGIS desktop and QGIS full desktop Setting the Environment Create pygis.cmd To setup the environment for PyQGIS in windows, you should get into the directory of .
Haifeng Niu
Last updated on Nov 1, 2019 PhD, GIS
How to set environment for PyQGIS 3 in PyCharm

Projects

*
All Data Mining Cambridge Course
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.

Follow
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.

Follow
London Tweets (External)

London Tweets (External)

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

Recent & Upcoming Talks

Association of Collegiate Schools of Planning (ACSP) Annual Conference 2020
A presentation at Association of Collegiate Schools of Planning (ACSP) Annual Conference 2020 .
Nov 4, 2020 12:00 AM — Nov 8, 2020 12:00 AM Toronto, Canada
Association of Collegiate Schools of Planning (ACSP) Annual Conference 2020
GIScience Research UK (GISRUK) Conference 2020
A presentation at GIScience Research UK (GISRUK) Conference 2020.
Jul 21, 2020 12:00 AM — Jul 23, 2020 12:00 AM London, UK
GIScience Research UK (GISRUK) Conference 2020
PKU-Cambridge Joint Workshop Talk
A talk at PKU-Cambridge Joint Workshop.
Dec 10, 2019 2:00 PM — 5:00 PM Beijing, China
PKU-Cambridge Joint Workshop Talk
Data for Policy Conference 2019
A presentation at Data for Policy Conference 2019 (On behalf of Lun Liu).
Jun 10, 2019 12:00 AM London, United Kindom
Data for Policy Conference 2019

Teaching Experience

Going Beyond: Big Data and Urban Policy
Department of Land Economy, University of Cambridge Oct 2020 – Jun 2021
Guest Lecturer
Spatial Analysis and Modelling (available online)
Department of Land Economy, University of Cambridge Oct 2019 – Jun 2021
Course Coordinator & Supervisior
Coordinating whole course and give supervision to Mphil students. Build website for students to access material online.
Mphil Dissertation Presentation
Department of Land Economy, University of Cambridge Dec 2017
Second Panelist
Quantitative Research Methods
Department of Land Economy, University of Cambridge Oct 2017 – Jun 2019
Supervisior
Supervising introduction and practices of Geographic Information System for Mphil students.
Graduate Project
School of Architecture and Urban Planning, Huazhong University of Science and Technology Jun 2017 – Sep 2016
Supervisior
Supervising graduate work for undergraduate students.

Skills

QGIS
Python
R
Statistics
SQL
Git

Popular Topics

30DayMapChallenge Cambridge CDBB Course Data Mining Deep Learning Geocomputation Geovisulisation London Maps Neural Word Embedding Planning Support Science Points of Interests PyCharm Python Tweets Twitter Word2Vec

Contact

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