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ISPRS International Journal of Geo-Information, Volume 13, Issue 10

October 2024 - 32 articles

Cover Story: Accurate information regarding the size, activity, and distribution of coastal tourists is essential for the effective management and planning of coastal tourism. In this study, geotagged photos uploaded to social network services were classified to identify coastal tourism activities. The image-supervised classification model was used to identify coastal tourism activities taking place in coastal spaces. Appreciation activities are mainly located in the natural environment and tend to be spatially spread out, while other activities are mainly located in urban areas with a high population density and are spatially concentrated. Data on tourist activity categorization through content classification, combined with traditional tourist volume estimates, can help us understand previously overlooked information and contexts about a space. View this paper
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Articles (32)

  • Article
  • Open Access
3 Citations
3,260 Views
15 Pages

Prediction of Commercial Street Location Based on Point of Interest (POI) Big Data and Machine Learning

  • Linghan Yao,
  • Chao Gao,
  • Yanqing Xu,
  • Xinyue Zhang,
  • Xiaoyi Wang and
  • Yequan Hu

Identifying optimal locations for sustainable commercial street development is crucial for driving economic growth and enhancing social vitality in cities. This study proposes a data-driven approach to predict potential sites for commercial streets i...

  • Article
  • Open Access
2 Citations
1,630 Views
20 Pages

The collaborative use of camera near-field sensors for monitoring the number and status of tourists is a crucial aspect of smart scenic spot management. This paper proposes a near-field perception technical system that achieves dynamic and accurate d...

  • Article
  • Open Access
5 Citations
2,164 Views
18 Pages

In the context of global climate change, the frequency of sudden natural disasters is increasing. Assessing traffic road damage post-disaster is crucial for emergency decision-making and disaster management. Traditional ground observation methods for...

  • Article
  • Open Access
1 Citations
2,637 Views
19 Pages

With the proliferation of vehicular mobility traces because of inexpensive on-board sensors and smartphones, utilizing them to further understand road movements have become easily accessible. These huge numbers of vehicular traces can be utilized to...

  • Article
  • Open Access
4 Citations
2,373 Views
16 Pages

Cities are facing increased heat-related health risks (HHRs) due to the combined effects of global warming and rapid urbanization. However, few studies have focused on HHR assessment based on fine-scale information. Moreover, most studies only analyz...

  • Reply
  • Open Access
834 Views
8 Pages

The comment disputes some of the inferences in the paper “Helmert Transformation Problem. From Euler Angles Method to Quaternion Algebra”, published in this journal. The key points in the dissent are the following: (1) The number of unkno...

  • Article
  • Open Access
1 Citations
1,823 Views
17 Pages

Station-level ridership is an important indicator for understanding the relationship between land use and rail transit, which is crucial for building more sustainable urban mobility systems. However, the nonlinear effects of the built environment on...

  • Article
  • Open Access
2 Citations
1,539 Views
15 Pages

POI data play an important role in various location-based services, including navigation, positioning, and local search applications. However, as cities rapidly develop, a substantial amount of new POI data are generated daily, often accompanied by i...

  • Review
  • Open Access
5 Citations
3,453 Views
39 Pages

In addition to geometric accuracy, topological information, appearance and georeferenced data, semantic capabilities are key strengths of digital 3D city models. This provides the foundation for a growing number of use cases, far beyond visualization...

  • Article
  • Open Access
5 Citations
2,360 Views
22 Pages

Research on Global Off-Road Path Planning Based on Improved A* Algorithm

  • Zhihong Lv,
  • Li Ni,
  • Hongchun Peng,
  • Kefa Zhou,
  • Dequan Zhao,
  • Guangjun Qu,
  • Weiting Yuan,
  • Yue Gao and
  • Qing Zhang

In field driving activities, off-road areas usually lack existing paths that can be directly driven on by ground vehicles, but their surface environments can still satisfy the planning and passage requirements of some off-road vehicles. Additionally,...

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