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ISPRS International Journal of Geo-Information, Volume 8, Issue 12

December 2019 - 68 articles

Cover Story: Human activity type inference is important for applications ranging from managing transportation demand to land use management. Unlabelled mobility data offer the opportunity to explore different approaches for this task; however, validation is out of reach due to lack of reference data. This research proposes a framework for urban activity type inference using a Dirichlet multinomial dynamic Bayesian network with an empirical Bayes prior that that can be applied to mobility data of low spatiotemporal resolution. Results were validated using foursquare data, providing evidence of activity type inference accuracy. At the same time, results demonstrate that a hierarchical modeling framework can provide some flexibility against the challenges related to the nature of unsupervised activity classification.View this paper.
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Articles (68)

  • Article
  • Open Access
14 Citations
11,405 Views
16 Pages

Globally, fire causes considerable losses that can be alleviated by taking appropriate actions facilitated by systems supported by geo-information technologies. This research focuses upon the development of an approach for planning urban infrastructu...

  • Article
  • Open Access
15 Citations
5,550 Views
19 Pages

CityGML-Based Road Information Model for Route Optimization of Snow-Removal Vehicle

  • Sang Ho Park,
  • Young-Hoon Jang,
  • Zong Woo Geem and
  • Sang-Ho Lee

Infrastructure usability becomes limited during a heavy snowfall event. In order to prevent such limitations, damage calculations and a decision-making process are needed. Snow-removal routing is a type of relevant disaster-prevention service. While...

  • Article
  • Open Access
1 Citations
3,331 Views
15 Pages

A Semantic Expansion Model for VGI Retrieval

  • Tao Sun,
  • Hui Xia,
  • Lin Li,
  • Hang Shen and
  • Yu Liu

OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that...

  • Feature Paper
  • Article
  • Open Access
15 Citations
4,940 Views
29 Pages

This paper presents a novel approach for automatic, preliminary detection of damage in concrete structures using ground-based terrestrial laser scanners. The method is based on computation of defect-sensitive features such as the surface curvature, s...

  • Article
  • Open Access
15 Citations
7,586 Views
22 Pages

Relevance of the Cell Neighborhood Size in Landscape Metrics Evaluation and Free or Open Source Software Implementations

  • Paolo Zatelli,
  • Stefano Gobbi,
  • Clara Tattoni,
  • Maria Giulia Cantiani,
  • Nicola La Porta,
  • Duccio Rocchini,
  • Nicola Zorzi and
  • Marco Ciolli

Landscape metrics constitute one of the main tools for the study of the changes of the landscape and of the ecological structure of a region. The most popular software for landscape metrics evaluation is FRAGSTATS, which is free to use but does not h...

  • Article
  • Open Access
28 Citations
6,271 Views
21 Pages

Semantic segmentation on high-resolution aerial images plays a significant role in many remote sensing applications. Although the Deep Convolutional Neural Network (DCNN) has shown great performance in this task, it still faces the following two chal...

  • Article
  • Open Access
15 Citations
10,004 Views
19 Pages

The current study tests neighborhood (i.e., block group) effects reflective of broken windows theory (i.e., neighborhood, public space, social, housing disorder) on crime. Furthermore, these effects are tested independently on serious (i.e., Part I),...

  • Editorial
  • Open Access
17 Citations
6,849 Views
9 Pages

Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have transitioned from data-scarce to data-rich environments. As a result, the field of geoinformatics is being reshaped and challenged to develop adequate data-...

  • Article
  • Open Access
7 Citations
5,409 Views
22 Pages

Modeling Spatio-Temporal Evolution of Urban Crowd Flows

  • Kun Qin,
  • Yuanquan Xu,
  • Chaogui Kang,
  • Stanislav Sobolevsky and
  • Mei-Po Kwan

Metropolitan cities are facing many socio-economic problems (e.g., frequent traffic congestion, unexpected emergency events, and even human-made disasters) related to urban crowd flows, which can be described in terms of the gathering process of a fl...

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