Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.2
2.8
Journals
IJGI
Special Issues
Spatial Information for Improved Living Spaces (2nd Edition)
share announcement

Spatial Information for Improved Living Spaces (2nd Edition)

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: 30 November 2026 | Viewed by 1399

Special Issue Editors

Dr. Ivana Ivánová

E-Mail Website
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
Dr. Yongze Song

E-Mail Website
Guest Editor
School of Design and the Built Environment, Curtin University, Kent Street, Bentley, WA 6102, Australia
Interests: sustainable development; spatial statistics; geospatial methods; urban remote sensing; sustainable infrastructure
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sisi Zlatanova

E-Mail Website
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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 34582 KB  
Article
Semi-Supervised AI for Architectural Heritage Classification and Style Lineage Discovery in Chinese Traditional Settlements
by Qing Han, Zicheng Wang, Chao Yin, Zhiwei Hou and Tianci Yao
ISPRS Int. J. Geo-Inf. 2026, 15(5), 221; https://doi.org/10.3390/ijgi15050221 - 20 May 2026
Viewed by 191
Abstract
Large-scale classification of architectural styles in Chinese traditional settlements is important for heritage conservation and geospatial documentation, but scalable deployment remains constrained by the high cost of expert annotation because villages are widely distributed, the imagery is captured from heterogeneous viewpoints, and each [...] Read more.
Large-scale classification of architectural styles in Chinese traditional settlements is important for heritage conservation and geospatial documentation, but scalable deployment remains constrained by the high cost of expert annotation because villages are widely distributed, the imagery is captured from heterogeneous viewpoints, and each architectural tradition exhibits substantial intra-class variation. To address this bottleneck, we propose CTSMatch, a label-efficient semi-supervised framework that combines an ImageNet-pretrained EfficientNetV2 backbone with SoftMatch-based adaptive pseudo-label weighting so that ambiguous but informative unlabeled samples can still contribute to training, thereby reducing reliance on costly expert annotation. We also construct SemiCTS, an extension of the original CTS dataset that adds 4360 unlabeled images. Using only 545 labeled samples, CTSMatch achieves 96.93% accuracy on SemiCTS, outperforming the strongest fully supervised baseline (Dense-TL-Aug) by 2.73 percentage points and two standard semi-supervised baselines (FixMatch and FreeMatch) by 3.06 percentage points. Beyond classification, we further analyze the feature space to examine stylistic lineage through intra-style heterogeneity, inter-style transitions, and outlier detection. The results reveal two broad regional groupings, a northern cluster (Jing, Jin, Su) and a southern cluster (Chuan, Min, Wan), connected by gradual transitions rather than rigid boundaries. Approximately 15% of the samples are identified as atypical cases, including 8.7% comprising regional variants and 6.3% comprising hybrid forms. These findings show that CTSMatch provides a practical label-efficient framework for architectural heritage classification while supporting the interpretable analysis of stylistic diversification and convergence in Chinese traditional settlements. Full article
(This article belongs to the Special Issue Spatial Information for Improved Living Spaces (2nd Edition))
►▼ Show Figures

Figure 1

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 552
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))
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop