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ISPRS International Journal of Geo-Information, Volume 14, Issue 8

August 2025 - 39 articles

Cover Story: In this study, we propose the Multi-Channel Spatio-Temporal Data Fusion (MCST-DF) framework, designed to integrate heterogeneous “big” and “small” data sources across complex road networks. Leveraging a novel Residual Spatio-Temporal Transformer Network (RSTTNet), our method captures both fine-grained local dynamics and global spatio-temporal patterns. By introducing multi-scale temporal channels and hierarchical spatial modelling, the framework effectively addresses challenges of data mismatch, sparsity, and heterogeneity. Evaluated on London traffic flow data, our approach achieves over 89% prediction accuracy and outperforms several strong baselines. This work contributes a generalisable solution to spatio-temporal data fusion, with wide implications for urban mobility, infrastructure monitoring, and geospatial AI systems. View this paper
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Articles (39)

  • Perspective
  • Open Access
2,189 Views
24 Pages

This strategic document outlines Bulgaria’s roadmap for modernizing its cartographic sector from 2025 to 2035, addressing the outdated geospatial infrastructure, lack of standardized digital practices, lack of coordinated digital infrastructure...

  • Article
  • Open Access
2,768 Views
17 Pages

GPT-Based Text-to-SQL for Spatial Databases

  • Hui Wang,
  • Li Guo,
  • Yubin Liang,
  • Le Liu and
  • Jiajin Huang

Text-to-SQL for spatial databases enables the translation of natural language questions into corresponding SQL queries, allowing non-experts to easily access spatial data, which has gained increasing attention from researchers. Previous research has...

  • Article
  • Open Access
1,513 Views
22 Pages

Evaluating Urban Greenery Through the Front-Facing Street View Imagery: Insights from a Nanjing Case Study

  • Jin Zhu,
  • Yingjing Huang,
  • Ziyue Cao,
  • Yue Zhang,
  • Yuan Ding and
  • Jinglong Du

Street view imagery has become a vital tool for assessing urban street greenery, with the Green View Index (GVI) serving as the predominant metric. However, while GVI effectively quantifies overall greenery, it fails to capture the nuanced, human-sca...

  • Article
  • Open Access
1,374 Views
27 Pages

The integration of heterogeneous spatio-temporal datasets presents a critical challenge in geospatial data science, particularly when combining large-scale, passively collected “big” data with precise but sparse “small” data....

  • Article
  • Open Access
956 Views
24 Pages

Risk zone delineation and mobility behavior control constitute critical measures in pandemic containment. Numerous studies utilize static demographic data or dynamic mobility data to calculate the high–risk zones present in cities; however, the...

  • Article
  • Open Access
1,619 Views
18 Pages

Street networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs where intersections are modeled as nodes and streets as edges between...

  • Article
  • Open Access
730 Views
31 Pages

Spatial and Temporal Correlations of COVID-19 Mortality in Europe with Atmospheric Cloudiness and Solar Radiation

  • Adrian Iftime,
  • Secil Omer,
  • Victor-Andrei Burcea,
  • Octavian Călinescu and
  • Ramona-Madalina Babeș

Previous studies reported the links between the COVID-19 incidence and weather factors, but few investigated their impact and timing on mortality, at a continental scale. We systematically investigated the temporal relationship of COVID-19 mortality...

  • Article
  • Open Access
1 Citations
1,224 Views
29 Pages

Activity Spaces in Multimodal Transportation Networks: A Nonlinear and Spatial Analysis Perspective

  • Kuang Guo,
  • Rui Tang,
  • Haixiao Pan,
  • Dongming Zhang,
  • Yang Liu and
  • Zhuangbin Shi

Activity space offers a valuable perspective for analyzing urban travel behavior and evaluating the performance of transportation systems in increasingly complex urban environments. However, the research on measuring activity spaces in multimodal tra...

  • Review
  • Open Access
2,604 Views
28 Pages

We live in an era where digitalization and omnichannel strategies significantly transform retail landscapes, and accurate spatial analytics from Geographic Information Systems (GIS) can deliver substantial competitive benefits. Nonetheless, despite e...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964