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ISPRS International Journal of Geo-Information, Volume 11, Issue 8

August 2022 - 43 articles

Cover Story: Digital maps are used daily by millions of users. Verifying the quality and consistency of route data is becoming more and more important. In this paper, we introduce a novel geospatial data analysis system that is based on road directionality. We investigate our Road Directionality Quality System (RDQS) using multiple map providers. Results from the experiments conducted show that our detection neural network can detect an arrow's position and direction in map images with >90% F1-Score. We then utilized this model to analyze map images in six different regions. Our findings show that our approach can reliably assess map quality and discover discrepancies in road directionality across different map providers. We report the percentage of discrepancies found between map providers using this approach in a proposed study area. View this paper
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Articles (43)

  • Article
  • Open Access
10 Citations
3,337 Views
19 Pages

The complexity of a road network must be reduced after a scale change, so that the legibility of the map can be maintained. However, deciding whether to show a particular road section on the map is a very complex process. This process, called selecti...

  • Article
  • Open Access
11 Citations
4,151 Views
19 Pages

The accurate identification of urban agglomeration spatial area is helpful in understanding the internal spatial relationship under urban expansion and in evaluating the development level of urban agglomeration. Previous studies on the identification...

  • Article
  • Open Access
47 Citations
6,079 Views
25 Pages

Rural tourism development has been an essential driving force behind China’s promotion of integrated urban–rural development, sustainable rural development and rural revitalization in the new era. This study included 1470 villages on the...

  • Article
  • Open Access
4 Citations
2,831 Views
19 Pages

The discovery of spatio-temporal co-occurrence patterns (STCPs) among multiple types of crimes whose events frequently co-occur in neighboring space and time is crucial to the joint prevention of crimes. However, the crime event occurrence time is of...

  • Article
  • Open Access
5 Citations
2,842 Views
19 Pages

In many countries, governments have implemented non-pharmaceutical techniques to limit COVID-19 transmission. Restricting human mobility is one of the most common interventions, including lockdown, travel restrictions, working from home, etc. However...

  • Article
  • Open Access
37 Citations
5,217 Views
17 Pages

Public participation is crucial in promoting built environment quality. By using Nancuiping park in China as a case study, this research brings attention to the digital twin park compared to the physical replica in a participatory workshop. Using UAV...

  • Article
  • Open Access
2 Citations
2,766 Views
24 Pages

In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications. Due to the high data volume of the multi-temporal land-cover datasets, pr...

  • Article
  • Open Access
19 Citations
7,435 Views
25 Pages

Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kerne...

  • Article
  • Open Access
7 Citations
2,844 Views
23 Pages

Measuring COVID-19 Vulnerability for Northeast Brazilian Municipalities: Social, Economic, and Demographic Factors Based on Multiple Criteria and Spatial Analysis

  • Ciro José Jardim de Figueiredo,
  • Caroline Maria de Miranda Mota,
  • Kaliane Gabriele Dias de Araújo,
  • Amanda Gadelha Ferreira Rosa and
  • Arthur Pimentel Gomes de Souza

COVID-19 has brought several harmful consequences to the world from many perspectives, including social, economic, and well-being in addition to health issues. However, these harmful consequences vary in intensity in different regions. Identifying wh...

  • Article
  • Open Access
1 Citations
3,359 Views
20 Pages

RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality

  • Abdulrahman Salama,
  • Cordel Hampshire,
  • Josh Lee,
  • Adel Sabour,
  • Jiawei Yao,
  • Eyhab Al-Masri,
  • Mohamed Ali,
  • Harsh Govind,
  • Ming Tan and
  • Vashutosh Agrawal
  • + 2 authors

With the increasing availability of smart devices, billions of users are currently relying on map services for many fundamental daily tasks such as obtaining directions and getting routes. It is becoming more and more important to verify the quality...

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