figshare
Browse

Yao Yao

Publications

  • Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data
  • Classifying urban land use by integrating remote sensing and social media data
  • Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata
  • Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses
  • A time series of urban extent in China using DSMP/OLS nighttime light data
  • Multiple intra-urban land use simulations and driving factors analysis: a case study in Huicheng, China
  • Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images
  • Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques
  • Sensing Mixed Urban Land-Use Patterns Using Municipal Water Consumption Time Series
  • The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types
  • Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity
  • Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data
  • Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China
  • A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition
  • Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
  • Natural outdoor environments and subjective well-being in Guangzhou, China: Comparing different measures of access
  • Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks
  • Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model
  • Estimating urban functional distributions with semantics preserved POI embedding
  • Hierarchical community detection and functional area identification with OSM roads and complex graph theory
  • Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China
  • A global North-South division line for portraying urban development
  • A comparison of two deep-learning-based urban perception models: which one is better?
  • Fine‐scale intra‐ and inter‐city commercial store site recommendations using knowledge transfer
  • Under the Dome: A 3D Urban Texture Model and Its Relationship with Urban Land Surface Temperature
  • Delineating urban job-housing patterns at a parcel scale with street view imagery
  • A human-machine adversarial scoring framework for urban perception assessment using street-view images
  • Functional urban land use recognition integrating multi-source geospatial data and cross-correlations
  • Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line -- based on nighttime light data and cellular automata
  • Geospatial Big Data: New Paradigm of Remote Sensing Applications
  • Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
  • cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units
  • Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique
  • Understanding China’s urban functional patterns at the county scale by using time-series social media data
  • How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city
  • Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques
  • Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm
  • A site selection framework for urban power substation at micro‐scale using spatial optimization strategy and geospatial big data
  • Cover Image
  • Unsupervised land-use change detection using multi-temporal POI embedding
  • Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China
  • Predicting the locations of missing persons in China by using NGO data and deep learning techniques
  • A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis

Usage metrics

Co-workers & collaborators

Qia Zhu

Qia Zhu

Weiming Huang

Weiming Huang

Yao Yao's public data