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Functional urban land use recognition integrating multi-source geospatial data and cross-correlations
16 references·0 citing·41 second hopsampled
Functional urban land use recognition integrating multi-source geospatial data and cross-correlations (2019)Functional urban land use recognition int…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data (2018)Portraying Urban Functional Z…Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Human mobility and socioecono…Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data (2017)Mapping fine-scale population…Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Coupling mobile phone and soc…Classifying urban land use by integrating remote sensing and social media data (2017)Classifying urban land use by…Assessment on the urbanization strategy in China: Achievements, challenges and reflections (2017)Assessment on the urbanizatio…Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2016)Sensing spatial distribution …Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Delineating urban functional …Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Methodologies for Cross-Domain Data Fusion: An Overview (2015)Methodologies for Cross-Domai…GIS-based modeling for the spatial measurement and evaluation of mixed land use development for a compact city (2015)GIS-based modeling for the sp…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Data mining with big data (2013)Data mining with big dataDiscovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Automated urban land-use classification with remote sensing (2012)Automated urban land-use clas…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Data fusion (2009)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Predicting citywide crowd flows using deep spatio-temporal residual networks (2018)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy (2016)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)The pathologies of big data (2009)Twitter mood predicts the stock market (2011)Challenges and opportunities with big data (2012)Applications of big data to smart cities (2015)A survey on deep learning for big data (2017)Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices (2018)Space and Place: The Perspective of Experience. (1978)Citizens as sensors: the world of volunteered geography (2007)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Driving with knowledge from the physical world (2011)Measuring social functions of city regions from large-scale taxi behaviors (2011)Urban computing with taxicabs (2011)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Urban Computing (2014)Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)A human-machine adversarial scoring framework for urban perception assessment using street-view images (2019)Measuring accessibility: positive and normative implementations of various accessibility indicators (2012)Passive crowdsourcing of social media in environmental research: A systematic map (2019)Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Environment and Planning b: Planning and Design (1998)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)The Geography of Transport Systems (2020)China statistical yearbook (1988)Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages (2011)Society: Realizing China's urban dream (2014)Progress of China's new-type urbanization construction since 2014: A preliminary assessment (2018)Ecological effects of new-type urbanization in China (2020)Renewable energy consumption and economic growth in OECD countries: A nonlinear panel data analysis (2020)
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References

  • 2013Data mining with big data2,423 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,151 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments807 cited
  • 2017Assessment on the urbanization strategy in China: Achievements, challenges and reflections758 cited
  • 2016Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model490 cited
  • 2015Methodologies for Cross-Domain Data Fusion: An Overview454 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data406 cited
  • 2017Classifying urban land use by integrating remote sensing and social media data368 cited
  • 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns308 cited
  • 2016Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method274 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
  • 2018Human mobility and socioeconomic status: Analysis of Singapore and Boston245 cited
  • 2017Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data227 cited
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GIS-based modeling for the spatial measurement and evaluation of mixed land use development for a compact city
161 cited
  • 2012Automated urban land-use classification with remote sensing134 cited
  • 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited
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