Spatial Information for Improved Living Spaces (2nd Edition)

Special Issue Editors


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Guest Editor
School of Earth and Planetary Sciences, Curtin Perth, Kent Street, Bentley, WA 6102, Australia
Interests: spatial data quality and spatial metadata; provenance of spatial resources; spatial information infrastructures
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia
Interests: 3D indoor modelling; 3D GIS; integration of BIM and GIS; 3D spatial analysis; DBMS; emergency response
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This is the second edition of a Special Issue on Spatial Information for Improved Living Spaces (https://www.mdpi.com/journal/ijgi/special_issues/441KK14395). It is not a surprise that this topic attracted a high number of quality submissions, and we are still counting. Due to its popularity, we have decided to open a second edition of this Special Issue and invite further submissions.

We invite submissions on the crucial roles of advanced spatial information and geospatial technologies in improving the quality and sustainability of living spaces. We especially welcome studies that include interdisciplinary knowledge and technologies across various fields, such as spatial data representation, artificial intelligence, geo-computation, and digital twins, and address complex challenges related to urban and regional development, public health, and environmental sustainability. Using spatial knowledge for improving living spaces is essential for making well-informed decisions and fostering innovation in the public and private sectors, which leads to the benefit of communities.

Similarly to the first edition, this Special Issue will present advanced research and discuss the practical uses of spatial information technology to enhance living spaces. The topic aligns closely with the journal's focus on promoting interdisciplinary studies related to the processing, analysis, and visualization of spatial data. Our objective is to connect theoretical progress with practical implementations for the influence of spatial information on improving living spaces, such as urban and regional environments, public health, and cultural heritage conservation.

The Special Issue welcomes diverse submissions, encompassing original research articles and reviews on various topics such as spatial data interoperability, AI-powered spatial analysis, geo-computation and simulation, digital twins for urban planning, and extended reality in geovisualization. The contributions may also contain novel methodologies in sensor web, Internet of Things (IoT) applications for intelligent environments, spatially enabled health interventions, the visualization of cultural heritage, and the incorporation of spatial information for achieving the sustainable development objectives of promoting progress in spatial science and encouraging its utilization for enhancing living spaces.

Dr. Ivana Ivánová
Dr. Yongze Song
Prof. Dr. Sisi Zlatanova
Guest Editors

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Keywords

  • spatial data interoperability
  • artificial intelligence in spatial analysis
  • geo-computation and geo-simulation
  • digital twins and urban planning
  • extended reality in geovisualization
  • sensor web and IoT for smart environments
  • spatial information for public health
  • cultural heritage visualization

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Published Papers (1 paper)

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Research

29 pages, 6295 KB  
Article
Machine Learning Framework for Evaluating the Cooling Performance of Wetlands in a Tropical Coastal City
by Nhat-Duc Hoang
ISPRS Int. J. Geo-Inf. 2026, 15(3), 129; https://doi.org/10.3390/ijgi15030129 - 15 Mar 2026
Viewed by 287
Abstract
This study investigates the cooling effects of coastal wetland systems in Hue City, Vietnam. The analysis focuses on their riparian buffer zones, defined here as areas within 600 m of the wetland boundary. Landsat 8 imagery was used to derive land surface temperature [...] Read more.
This study investigates the cooling effects of coastal wetland systems in Hue City, Vietnam. The analysis focuses on their riparian buffer zones, defined here as areas within 600 m of the wetland boundary. Landsat 8 imagery was used to derive land surface temperature (LST) from 1 March to 31 July 2025—a recent period marked by multiple heatwaves across the region. To assess the cooling performance of wetlands, data samples were collected within the buffer zones. A Light Gradient Boosting Machine was trained to characterize the relationship between cooling intensity and a set of influencing factors (e.g., distance to wetland boundary, land use/land cover, built-up density, and green space density). The model explains approximately 91% of the variation in cooling intensity around wetlands. Notably, a machine-learning-based simulation framework was proposed to attain insights into the cooling characteristics of the riparian zone. The result indicates a mean cooling effect of about 2 °C and an effective cooling distance of 210 m from the wetland boundary. Partial dependence analysis further reveals that increasing built-up density substantially weakens cooling performance and implies that, for the conditions observed in Hue City, maintaining built-up density near wetlands below roughly 45% is favorable for sustaining effective cooling of the blue space, as indicated by the model-based partial dependence analysis. Overall, the research findings provide a data-driven basis for informing urban planning and wetland management in Hue City to mitigate heat stress. Full article
(This article belongs to the Special Issue Spatial Information for Improved Living Spaces (2nd Edition))
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