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ISPRS International Journal of Geo-Information, Volume 13, Issue 9

September 2024 - 42 articles

Cover Story: The concept of a Digital Twin (DT) is being applied in a growing number of application domains, each of which interprets what a DT is and what a DT does differently. Many of these application domains concern issues that vary spatially and temporally, such as DTs of cities, meaning DTs are increasingly dealing with geospatial concepts and data, whether directly stated or not. Efforts to characterize and define DTs to date do not consider this geospatial perspective, and as a result, there may be missed opportunities for collaboration between the geospatial and DT communities. This study systematically reviews real-world DT case studies in smart cities, manufacturing, energy, construction, and agriculture with the aim of progressing our understanding of the role of geospatial in DTs through defining a set of geospatial dimensions. View this paper
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Articles (42)

  • Article
  • Open Access
5 Citations
5,747 Views
17 Pages

This study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 201...

  • Article
  • Open Access
4 Citations
1,536 Views
24 Pages

The combination of encryption and digital watermarking technologies is an increasingly popular approach to achieve full lifecycle data protection. Recently, reversible data hiding in the encrypted domain (RDHED) has greatly aroused the interest of ma...

  • Article
  • Open Access
3 Citations
1,635 Views
20 Pages

Gaining an understanding of the intricate mechanisms between human activity and the built environment can help in promoting sustainable urban development. However, most scholars have focused on residents’ life and work behavior and have ignored...

  • Article
  • Open Access
1,204 Views
25 Pages

Transformer-based subject-sensitive hashing algorithms exhibit good integrity authentication performance and have the potential to ensure the authenticity and convenience of high-resolution remote sensing (HRRS) images. However, the robustness of Tra...

  • Article
  • Open Access
3 Citations
2,169 Views
23 Pages

Large-scale gridded population product datasets have become crucial sources of information for sustainable development initiatives. However, mainstream modeling approaches (e.g., dasymetric mapping based on Multiple Linear Regression or Random Forest...

  • Article
  • Open Access
1,402 Views
20 Pages

Scientific and logical classification is crucial for efficient information storage, management, and sharing. However, there are numerous existing classification systems for geographical entities, and the categories to which the same geographical enti...

  • Article
  • Open Access
4 Citations
2,814 Views
19 Pages

Geometric Characterization of the Mateur Plain in Northern Tunisia Using Vertical Electrical Sounding and Remote Sensing Techniques

  • Wissal Issaoui,
  • Imen Hamdi Nasr,
  • Dimitrios D. Alexakis,
  • Wafa Bejaoui,
  • Ismael M. Ibraheem,
  • Ahmed Ezzine,
  • Dhouha Ben Othman and
  • Mohamed Hédi Inoubli

The Mateur aquifer system in Northern Tunisia was examined using data from 19 water boreholes, 69 vertical electrical sounding (VES) stations, and a Sentinel-2 satellite image. Available boreholes and their corresponding logs were compared to define...

  • Systematic Review
  • Open Access
6 Citations
4,934 Views
44 Pages

Potentials in Using VR for Facilitating Geography Teaching in Classrooms: A Systematic Review

  • Klára Czimre,
  • Károly Teperics,
  • Ernő Molnár,
  • János Kapusi,
  • Ikram Saidi,
  • Deddy Gusman and
  • Gyöngyi Bujdosó

The application of virtual reality (VR) in geography education is regarded as a progressive and proactive method that has still not gained sufficient attention in the educational policy in Hungary. The aim of our review is to find the ways and means...

  • Article
  • Open Access
2 Citations
2,010 Views
20 Pages

In the face of diverse chronic pressures and increased factor mobility, the resilience of urban internal network structures has become a cutting-edge research topic. This study utilizes 2019 mobile signaling big data to construct employment and recre...

  • Article
  • Open Access
48 Citations
3,510 Views
15 Pages

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

  • Xiaoyi Zhang,
  • Muhammad Usman,
  • Ateeq ur Rehman Irshad,
  • Mudassar Rashid and
  • Amira Khattak

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with health dispari...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964Creative Common CC BY license