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ISPRS International Journal of Geo-Information, Volume 12, Issue 2

February 2023 - 57 articles

Cover Story: The performance of a machine learning algorithm depends on the underlying data representation. Geospatial data come in many different shapes and forms, including points of interest, boundaries, trajectories, images and many more. To maximise the performance of the machine learning algorithms operating on such data, they should be converted into a representation that encodes the semantics by mapping similar entities to similar representations. Self-supervised representation learning (SSRL) performs this task automatically without the need for expensive data annotation. This article reviews the existing research literature on SSRL in the field of geographical information science and discusses different types of representations learnt, SSRL models used, downstream applications, and performance improvements. View this paper
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Articles (57)

  • Article
  • Open Access
6 Citations
4,004 Views
25 Pages

Recently, open-domain question-answering systems have achieved tremendous progress because of developments in large language models (LLMs), and have successfully been applied to question-answering (QA) systems, or Chatbots. However, there has been li...

  • Article
  • Open Access
1 Citations
2,840 Views
24 Pages

‘Marginal’ urban settlements can be assumed as specific locations within a metropolitan area that are unable to attract (incoming) commuter flows. The official statistical system of Italy (headed by the National Statistical Institute, Ist...

  • Article
  • Open Access
5 Citations
4,636 Views
25 Pages

Contemplation of potential strategies to adapt to a changing and variable climate in agricultural cropping areas depends on the availability of geo-information that is at a sufficient resolution, scale and temporal length to inform these decisions. W...

  • Article
  • Open Access
17 Citations
4,150 Views
20 Pages

Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land and water zones and complex vegetation composition, making it challenging to achieve dynamic displays of virtual wetland scenes using three-dimensional modelin...

  • Article
  • Open Access
9 Citations
5,435 Views
20 Pages

The Potential Impact of Cycling on Urban Transport Energy and Modal Share: A GIS-Based Methodology

  • João Monteiro,
  • Nuno Sousa,
  • Eduardo Natividade-Jesus and
  • João Coutinho-Rodrigues

This article presents a methodology to estimate the maximum potential impact of a well-built and conserved cycling infrastructure, measured as modal share for accessibility trips, as well as the associated transport energy that can be saved in those...

  • Article
  • Open Access
20 Citations
8,427 Views
35 Pages

Future Swedish 3D City Models—Specifications, Test Data, and Evaluation

  • Maria Uggla,
  • Perola Olsson,
  • Barzan Abdi,
  • Björn Axelsson,
  • Matthew Calvert,
  • Ulrika Christensen,
  • Daniel Gardevärn,
  • Gabriel Hirsch,
  • Eric Jeansson and
  • Zuhret Kadric
  • + 16 authors

Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources....

  • Article
  • Open Access
9 Citations
5,048 Views
32 Pages

The COVID-19 pandemic has posed numerous challenges to human society. Previous studies explored multiple factors in virus transmission. Yet, their impacts on COVID-19 are not universal and vary across geographical regions. In this study, we thoroughl...

  • Article
  • Open Access
3 Citations
2,755 Views
21 Pages

Classification of Seismaesthesia Information and Seismic Intensity Assessment by Multi-Model Coupling

  • Qingzhou Lv,
  • Wanzeng Liu,
  • Ran Li,
  • Hui Yang,
  • Yuan Tao and
  • Mengjiao Wang

Earthquake disaster assessment is one of the most critical aspects in reducing earthquake disaster losses. However, traditional seismic intensity assessment methods are not effective in disaster-stricken areas with insufficient observation data. Soci...

  • Article
  • Open Access
2,111 Views
16 Pages

Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation

  • Zilin Zhao,
  • Yuanying Chi,
  • Zhiming Ding,
  • Mengmeng Chang and
  • Zhi Cai

Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shal...

  • Article
  • Open Access
3 Citations
4,225 Views
23 Pages

Although quality of life is a phenomenon with a significant geographical component, its assessment is often only based on non-spatial statistical data. In Czechia, there are currently several assessments of quality of life at the level of municipalit...

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