James Haworth
James Haworth
Associate Professor in Spatio-temporal Analytics, University College London
Verified email at - Homepage
Cited by
Cited by
Geospatial big data handling theory and methods: A review and research challenges
S Li, S Dragicevic, FA Castro, M Sester, S Winter, A Coltekin, C Pettit, ...
ISPRS journal of Photogrammetry and Remote Sensing 115, 119-133, 2016
Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification
A Bolbol, T Cheng, I Tsapakis, J Haworth
Computers, Environment and Urban Systems, 2012
Spatio-temporal autocorrelation of road network data
T Cheng, J Haworth, J Wang
Journal of Geographical Systems, 1-25, 2011
Understanding cities with machine eyes: A review of deep computer vision in urban analytics
MR Ibrahim, J Haworth, T Cheng
Cities 96, 102481, 2020
Non-parametric regression for space–time forecasting under missing data
J Haworth, T Cheng
Computers, Environment and Urban Systems 36 (6), 538-550, 2012
A dynamic spatial weight matrix and localized space–time autoregressive integrated moving average for network modeling
T Cheng, J Wang, J Haworth, B Heydecker, A Chow
Geographical Analysis 46 (1), 75-97, 2014
Local online kernel ridge regression for forecasting of urban travel times
J Haworth, J Shawe-Taylor, T Cheng, J Wang
Transportation research part C: emerging technologies 46, 151-178, 2014
Improved methods for fire risk assessment in low-income and informal settlements
J Twigg, N Christie, J Haworth, E Osuteye, A Skarlatidou
International journal of environmental research and public health 14 (2), 139, 2017
Exploratory visualisation of congestion evolutions on urban transport networks
T Cheng, G Tanaksaranond, C Brunsdon, J Haworth
Transportation Research Part C: Emerging Technologies 36, 296-306, 2013
Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics
T Bantis, J Haworth
Transportation Research Part C: Emerging Technologies 80, 286-309, 2017
Spatio-temporal data mining
T Cheng, J Haworth, B Anbaroglu, G Tanaksaranond, J Wang
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
MR Ibrahim, J Haworth, T Cheng
ISPRS International Journal of Geo-Information 8 (12), 549, 2019
Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe
MR Ibrahim, J Haworth, A Lipani, N Aslam, T Cheng, N Christie
PloS one 16 (1), e0246120, 2021
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning
MR Ibrahim, H Titheridge, T Cheng, J Haworth
Computers, Environment and Urban Systems 76, 31-56, 2019
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
MR Ibrahim, J Haworth, T Cheng
Environment and Planning B: Urban Analytics and City Science 48 (1), 76-93, 2021
Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach
T Bantis, J Haworth
Journal of Transport Geography 84, 102673, 2020
Advances in geocomputation (1996-2011)
T Cheng, J Haworth, E Manley
Computers, Environment and Urban Systems 36 (6), 481-487, 2012
A spatiotemporal Bayesian hierarchical approach to investigating patterns of confidence in the police at the neighborhood level
D Williams, J Haworth, M Blangiardo, T Cheng
Geographical analysis 51 (1), 90-110, 2019
Investigating the potential of activity tracking app data to estimate cycle flows in urban areas
J Haworth
ISPRS-International Archives of the Photogrammetry, Remote Sensing and …, 2016
Spatio-temporal forecasting of network data
J Haworth
UCL (University College London), 2014
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