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Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data

PloS one, 2014-01, Vol.9 (1), p.e86026

2014

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Social Sensing: A New Approach to Understanding Our Socioeconomic Environments

Annals of the Association of American Geographers, 2015-05, Vol.105 (3), p.512-530

2015

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A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint

PloS one, 2015-11, Vol.10 (11), p.e0143500-e0143500

2015

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An Ensemble Learning Approach for Urban Land Use Mapping Based on Remote Sensing Imagery and Social Sensing Data

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (19), p.3254

2020

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Understanding intra-urban trip patterns from taxi trajectory data

Journal of geographical systems, 2012-10, Vol.14 (4), p.463-483

2012

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Escaping from pollution: the effect of air quality on inter-city population mobility in China

Environmental research letters, 2019-12, Vol.14 (12), p.124025

2019

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A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data

International journal of digital earth, 2020-06, Vol.13 (6), p.708-726

2020

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Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr

ISPRS international journal of geo-information, 2017-11, Vol.6 (11), p.345

2017

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Mapping Human Activity Volumes Through Remote Sensing Imagery

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.5652-5668

2020

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Querying Similar Multi-Dimensional Time Series with a Spatial Database

ISPRS international journal of geo-information, 2023-04, Vol.12 (4), p.179

2023

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Towards Estimating Urban Population Distributions from Mobile Call Data

The Journal of urban technology, 2012-10, Vol.19 (4), p.3-21

2012

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Understanding China’s urban system evolution from web search index data

EPJ data science, 2022-03, Vol.11 (1), p.20-20, Article 20

2022

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Social graph convolutional LSTM for pedestrian trajectory prediction

IET intelligent transport systems, 2021-03, Vol.15 (3), p.396-405

2021

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The impact of social segregation on human mobility in developing and industrialized regions

EPJ data science, 2014-12, Vol.3 (1), p.6, Article 6

2014

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Towards semantic enrichment for spatial interactions

Annals of GIS, 2024-04, Vol.30 (2), p.151-166

2024

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Understanding operation behaviors of taxicabs in cities by matrix factorization

Computers, environment and urban systems, 2016-11, Vol.60, p.79-88

2016

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Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality

International journal of geographical information science : IJGIS, 2022-02, Vol.36 (2), p.360-381

2022

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Validating activity, time, and space diversity as essential components of urban vitality

Environment and planning. B, Urban analytics and city science, 2021-06, Vol.48 (5), p.1180-1197

2021

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Delineating intra-urban spatial connectivity patterns by travel-activities: A case study of Beijing, China

2015 23rd International Conference on Geoinformatics, 2015, p.1-7

2015

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Intra-urban human mobility patterns: An urban morphology perspective

Physica A, 2012-02, Vol.391 (4), p.1702-1717

2012

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Incorporating spatial interaction patterns in classifying and understanding urban land use

International journal of geographical information science : IJGIS, 2016-02, Vol.30 (2), p.334-350

2016

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Evaluating healthcare resource inequality in Beijing, China based on an improved spatial accessibility measurement

Transactions in GIS, 2021-06, Vol.25 (3), p.1504-1521

2021

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Analyzing and geo-visualizing individual human mobility patterns using mobile call records

2010 18th International Conference on Geoinformatics, 2010, p.1-7

2010

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Analyzing Relatedness by Toponym Co-Occurrences on Web Pages

Transactions in GIS, 2014-02, Vol.18 (1), p.89-107

2014

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How urban places are visited by social groups? Evidence from matrix factorization on mobile phone data

Transactions in GIS, 2020-12, Vol.24 (6), p.1504-1525

2020

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Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data

Social Sensing: A New Approach to Understanding Our Socioeconomic Environments

A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint

An Ensemble Learning Approach for Urban Land Use Mapping Based on Remote Sensing Imagery and Social Sensing Data

Understanding intra-urban trip patterns from taxi trajectory data

Escaping from pollution: the effect of air quality on inter-city population mobility in China

A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data

Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr

Mapping Human Activity Volumes Through Remote Sensing Imagery

Querying Similar Multi-Dimensional Time Series with a Spatial Database

Towards Estimating Urban Population Distributions from Mobile Call Data

Understanding China’s urban system evolution from web search index data

Social graph convolutional LSTM for pedestrian trajectory prediction

The impact of social segregation on human mobility in developing and industrialized regions

Towards semantic enrichment for spatial interactions

Understanding operation behaviors of taxicabs in cities by matrix factorization

Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality

Validating activity, time, and space diversity as essential components of urban vitality

Delineating intra-urban spatial connectivity patterns by travel-activities: A case study of Beijing, China

Intra-urban human mobility patterns: An urban morphology perspective

Incorporating spatial interaction patterns in classifying and understanding urban land use

Evaluating healthcare resource inequality in Beijing, China based on an improved spatial accessibility measurement

Analyzing and geo-visualizing individual human mobility patterns using mobile call records

Analyzing Relatedness by Toponym Co-Occurrences on Web Pages

How urban places are visited by social groups? Evidence from matrix factorization on mobile phone data

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