Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

Zook, Matthew; Graham, Mark; Shelton, Taylor; Gorman, Sean

doi:10.2139/ssrn.2216649

Cited by 146 publications

(195 citation statements)

References 21 publications

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“…This will require challenging some of the deeply held views in science, such as viewing uncertainty not as something that can be eliminated through tighter protocols but as an integral part of any data collection and, therefore, developing appropriate methods to deal with it during analysis. Moreover, the view of science as separate from societal and ethical concerns is also a challenge especially at higher levels of engagement between scientists and participants [39].…”

Section: Top-down Dissemination Of Results and Gaps Between Knowledgementioning

confidence: 99%

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Fekete

Tzavella

Armaş

et al. 2015

IJGI

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Disaster risk information is spatial in nature and Geographic Information Systems (GIS) and Remote Sensing (RS) play an important key role by the services they provide to OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 1849 society. In this context, to risk management and governance, in general, and to civil protection, specifically (termed differently in many countries, and includes, for instance: civil contingencies in the UK, homeland security in the USA, disaster risk reduction at the UN level). The main impetus of this article is to summarize key contributions and challenges in utilizing and accepting GIS and RS methods and data for disaster risk governance, which includes public bodies, but also risk managers in industry and practitioners in search and rescue organizations. The article analyzes certain method developments, such as vulnerability indicators, crowdsourcing, and emerging concepts, such as Volunteered Geographic Information, but also investigates the potential of the topic Critical Infrastructure as it could be applied on spatial assets and GIS and RS itself. Intended to stimulate research on new and emerging fields, this article's main contribution is to move spatial research toward a more reflective stance where opportunities and challenges are equally and transparently addressed in order to gain more scientific quality. As a conclusion, GIS and RS can play a pivotal role not just in delivering data but also in connecting and analyzing data in a more integrative, holistic way.

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Section: Top-down Dissemination Of Results and Gaps Between Knowledgementioning

confidence: 99%

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Fekete

Tzavella

Armaş

et al. 2015

IJGI

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“…The possibility of localization maps and the use of external information sources that could be displayed on the map, led to the fact that the maps are used today in almost all elds of human interaction. In regard to the use of maps in order to save lives, unique map platforms for emergencies have been developed that have successfully con rmed their role in locating and faster rescue of the individuals who were struck by natural disasters in Haiti and the Hurricane Katrina [1]. These platforms are Ushahidi and Sahana.…”

Section: Methodsmentioning

confidence: 99%

Model application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards

Sukić

Stoimenov

2016

Open Geosciences

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Abstract:The web has penetrated just about every sphere of human interest and using information from the web has become ubiquitous among di erent categories of users. Medicine has long being using the bene ts of modern technologies and without them it cannot function. This paper o ers a proposal of use and mutual collaboration of several modern technologies within facilitating the location and communication between persons in need of emergency medical assistance and the emergency head o ces, i.e., the ambulance. The main advantage of the proposed model is the technical possibility of implementation and use of these technologies in developing countries and low implementation cost.

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“…Goodchild and Glennon, 2010;Li and Goodchild, 2010;Zook et al, 2010;MacEachren et al, 2011), gathering perspectives of citizens (e.g. Ricker et al, 2012), studying the spread of diseases (e.g.…”

Section: User-generated Contentmentioning

confidence: 99%

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

Straumann

Çöltekin

Andrienko

2014

The Cartographic Journal

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We present a study that explores methodological steps towards (re)constructing collective narratives from the phototaking behaviour of two groups (foreign tourists and inhabitants of Switzerland) by analysing spatial and temporal patterns in user-contributed, georeferenced photographs of Zurich, Switzerland. We reason that the photographers typically capture a scene or a moment because they want to remember or share it, thus these scenes or moments are meaningful to them. Various scholars suggest that the human experience (i.e. this meaningfulness) is what separates a place from the mathematical descriptions of space. While this notion is well known in larger geographic literature, it is under-explored in cartographic research. We respond to this research gap and reconstruct static and dynamic patterns of photo-taking and -sharing behaviour to assist in capturing the implicit meaning in the studied locations. These locations may be meaningful to only a certain group of people in certain moments; therefore, studying group differences in spatial and temporal photo-taking patterns will help building a collective and comparative story about the studied place. In our study, we focus on experiences of foreign versus domestic visitors, and in the process, we examine the potential (and feasibility) of georeferenced photographs for extracting such collective narratives using qualitative and quantitative visual analytical methods.

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Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

Cited by 146 publications

References 21 publications

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Model application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

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