scholarly journals THE ROLE OF VOLUNTEERED GEOGRAPHIC INFORMATION APPLICATIONS IN DISASTER MANAGEMENT

Author(s):  
H. K. Sevinç ◽  
I. R. Karaş

<p><strong>Abstract.</strong> In times of crisis, it is a priority to get help as soon as possible and any kind of help can be accepted. Especially, all kinds of support by volunteers, is a great help in crisis resolution. Crisis locations can be developed or less developed regions. It is sometimes difficult to reach help and support in less developed regions. To create Geographic data, which is an important requirement in crisis situations, is time-consuming and costly when attempted to be produced by conventional methods. When the data is produced by volunteers, it is faster and less costly because experts try to reach and support the region. Volunteered Geographic Information (VGI) is spatial data that has been contributed for free by volunteers. In our work, that is review, the examples of Volunteered Geographic Information applications in crisis management will be shown on the poster.</p>

Author(s):  
M. Eshghi ◽  
A. A. Alesheikh

Recent advances in spatial data collection technologies and online services dramatically increase the contribution of ordinary people to produce, share, and use geographic information. Collecting spatial data as well as disseminating them on the internet by citizens has led to a huge source of spatial data termed as Volunteered Geographic Information (VGI) by Mike Goodchild. Although, VGI has produced previously unavailable data assets, and enriched existing ones. But its quality can be highly variable and challengeable. This presents several challenges to potential end users who are concerned about the validation and the quality assurance of the data which are collected. Almost, all the existing researches are based on how to find accurate VGI data from existing VGI data which consist of a) comparing the VGI data with the accurate official data, or b) in cases that there is no access to correct data; therefore, looking for an alternative way to determine the quality of VGI data is essential, and so forth. In this paper it has been attempt to develop a useful method to reach this goal. In this process, the positional accuracy of linear feature of Iran, Tehran OSM data have been analyzed.


Author(s):  
M. M. Yagoub

The number of smart phones that are supported by location facility like Global Positioning System (GPS), Camera and connected to the internet has increased sharply in UAE during the last five years. This increase offers a chance to capitalize on using these devices as resources for data collection, therefore reducing cost. In many cases specific events may happen in areas or at time where there may be no governmental departments to collect such unrepeated events. The current research will showcase various studies that had been conducted on Volunteered Geographic Information (VGI) debating various aspects such as accuracy, legal issues, and privacy. This research will also integrate Geographic Information System (GIS), VGI, social media tools, data mining, and mobile technology to design a conceptual framework for promoting public participation in UAE. The data gathered through survey will be helpful in correlating various aspects of VGI. Since there are diverse views about these aspects, policy makers are left undecided in many countries about how to deal with VGI. The assessment of the UAE case will contribute to the age-long debate by examining the willingness of the public to participate. The result will show the public perception to be as sensors for data collection. Additionally, the potential of citizen involvement in the risk and disaster management process by providing voluntary data collected for VGI applications will also be explored in the paper.


First Monday ◽  
2014 ◽  
Author(s):  
Jessa Lingel ◽  
Bradley Wade Bishop

In this paper, we discuss GeoWeb technologies, specifically those created via volunteered geographic information (VGI) as a means of analyzing the political contours of mapmaking. Our paper is structured around two case studies of VGI projects that allow for consideration for the political efficacy (and potential drawbacks) of these geospatial technologies. We use de Certeau’s constructs of strategies and tactics as a conceptual framing, which allows for a political reading of geographic data couched in the context of everyday life, as well as opening up inquiry into the politics of making, accessing and interpreting spatial data. We conclude by suggesting provocations for future research on the GeoWeb and VGI at the intersection of geography and information science.


2020 ◽  
Author(s):  
Nirmal Kumar ◽  
S. K. Singh ◽  
G. P. Obi Reddy ◽  
V. N. Mishra ◽  
R. K. Bajpai

The aim of this review paper is to provide a comprehensive overview of geographical information system and remote sensing–based water erosion assessment. With multispectral and multi-temporal low cost data at various resolutions, remote sensing plays an important role for mapping the distribution and severity of water erosion and for modeling the risk and/or potential of soil loss. The ability of geographic information system to integrate spatial data of different types and sources makes its role unavoidable in water erosion assessment. The role of satellite data in identification of eroded lands and in providing inputs for erosion modeling has been discussed. The role of GIS in mapping eroded lands based on experts’ opinion, in generating spatial data inputs from sources other than remote sensing and in integrating the inputs to model the potential soil loss has been discussed.


2013 ◽  
Vol 4 (2) ◽  
pp. 54-70 ◽  
Author(s):  
Shaun A. Langley ◽  
Joseph P. Messina ◽  
Sue C. Grady

With the advent of Web 2.0, the public is becoming increasingly interested in spatial data exploration. The potential for Volunteered Geographic Information (VGI) to be adopted for passive disease surveillance and mediated through an enhanced relationship between researchers and non-scientists is of special interest to the authors. In particular, mobile devices and wireless communication permit the public to be more involved in research to a greater degree. Furthermore, the accuracy of these devices is rapidly improving, allowing the authors to address questions of uncertainty and error in data collections. Cooperation between researchers and the public integrates themes common to VGI and PGIS (Participatory Geographic Information), to bring about a new paradigm in GIScience. This paper outlines the prototype for a VGI system that incorporates the traditional role of researchers in spatial data analysis and exploration and the willingness of the public, through traditional PGIS, to be engaged in data collection for the purpose of surveillance of tsetse flies, the primary vector of African Trypanosomiasis. This system allows for two-way communication between researchers and the public for data collection, analysis, and the ultimate dissemination of results. Enhancing the role of the public to participate in these types of projects can improve both the efficacy of disease surveillance as well as stimulating greater interest in science.


Author(s):  
Kuo-Chih Hung ◽  
Mohsen Kalantari ◽  
Abbas Rajabifard

Volunteered geographic information (VGI) has the potential to provide much-needed information for emergency management stakeholders. However, stakeholders often lack scalability to identify useful and high-quality text content from the often-overwhelming amount of information. To solve this problem, most studies have concentrated on using text-related features in supervised learning models to classify text contents. This article proposes an assumption that the geographic attributes of VGI can be integrated into the model as features for enhancing the model's performance. To evaluate this assumption, the authors developed a case study based on VGI collected from two flooding events in Brisbane. They validated the accuracy of associated geographic coordinates and defined the geographic features relevant to the flood phenomenon. From their experiments, model based on this integrated method can have better performance in comparison with the model trained from the text-related features. The results suggest great potential for using the integrated method to harvest useful VGI for the needs of disaster management.


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