Crowdsourced geospatial data is reshaping urban sciences

Author:

Huang Xiao,Wang Siqin,Lu Tianjun,Liu Yisi,Serrano-Estrada Leticia

Publisher

Elsevier BV

Reference23 articles.

1. Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives;Biljecki;Int. J. Applied Earth Observat. Geoinformat.,2023

2. Analysing gender differences in the perceived safety from street view imagery;Cui;Int. J. Applied Earth Observat. Geoinformat.,2023

3. Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China;Dai;Int. J. Appl. Earth Obs. Geoinf.,2023

4. Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories;Gong;Int. J. Applied Earth Observat. Geoinformat.,2023

5. Self-supervised audiovisual representation learning for remote sensing data;Heidler;Int. J. Appl. Earth Obs. Geoinf.,2023

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