[HTML][HTML] Unsupervised machine learning in urban studies: A systematic review of applications

J Wang, F Biljecki - Cities, 2022 - Elsevier
Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …

Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

Y Yan, CC Feng, W Huang, H Fan… - International Journal of …, 2020 - Taylor & Francis
More than 10 years have passed since the coining of the term volunteered geographic
information (VGI) in 2007. This article presents the results of a review of the literature …

Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns

W Tu, J Cao, Y Yue, SL Shaw, M Zhou… - International Journal …, 2017 - Taylor & Francis
Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …

Inferring trip purposes and uncovering travel patterns from taxi trajectory data

L Gong, X Liu, L Wu, Y Liu - Cartography and Geographic …, 2016 - Taylor & Francis
Global positioning system-enabled vehicles provide an efficient way to obtain large
quantities of movement data for individuals. However, the raw data usually lack activity …

Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks

E Steiger, B Resch, A Zipf - International Journal of Geographical …, 2016 - Taylor & Francis
The investigation of human activity patterns from location-based social networks like Twitter
is an established approach of how to infer relationships and latent information that …

Examining the population flow network in China and its implications for epidemic control based on Baidu migration data

S Wei, L Wang - Humanities and Social Sciences Communications, 2020 - nature.com
This paper examines the spatial pattern of the population flow network and its implications
for containing epidemic spread in China. The hierarchical and spatial subnetwork structure …

Reconstructing human activities via coupling mobile phone data with location-based social networks

L Huang, F **_hourly_dynamics_of_urban_population_using_trajectories_reconstructed_from_mobile_phone_records/links/5b1e5219a6fdcca67b6988d9/Map**-hourly-dynamics-of-urban-population-using-trajectories-reconstructed-from-mobile-phone-records.pdf" data-clk="hl=es&sa=T&oi=gga&ct=gga&cd=8&d=17875586735242419809&ei=7dO5Z9CeA-ehieoPx-axmAs" data-clk-atid="YR7PQW3XEvgJ" target="_blank">[PDF] researchgate.net

Map** hourly dynamics of urban population using trajectories reconstructed from mobile phone records

Z Liu, T Ma, Y Du, T Pei, J Yi, H Peng - Transactions in GIS, 2018 - Wiley Online Library
Understanding the spatiotemporal dynamics of urban population is crucial for addressing a
wide range of urban planning and management issues. Aggregated geospatial big data …

Flow trace: A novel representation of intra-urban movement dynamics

X **ng, Y Yuan, Z Huang, X Peng, P Zhao… - … , Environment and Urban …, 2022 - Elsevier
The dynamics of human activities can illustrate how a city operates at different times. In
today's highly connected urban systems, the travel flow rhythms can help uncover the …