• Corpus ID: 53006553

Crowdsourcing Geographic Information

  title={Crowdsourcing Geographic Information},
  author={Dieter Pfoser},
The crowdsourcing of geographic information addresses the collection of geospatial data contributed by non-expert users and the aggregation of these data into meaningful geospatial datasets. While crowdsourcing generally implies a coordinated bottom-up grass-roots effort to contribute information, in the context of geospatial data the term volunteered geographic information (VGI) specifically refers to a dedicated collection effort inviting non-expert users to contribute. A prominent example… 

Figures from this paper

A social encouragement in risk awareness using volunteered geographic information and scenario-based analysis
The geographic information is important for analysis, not only physical-related analysis but also socio-economic analysis. In the part-day, data access is limited to a government or a large private
A 3 D social platform for the Paths of Via
GeoWeb 2.0, the geographic extension of Web 2.0, has opened new possibilities in terms of online dissemination and sharing of geospatial contents, thus laying the foundations for a fruitful
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
This position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geosp spatial big data.
The Spacetime Continuum: Using Spatio-temporal Filtering Techniques to Revisit Rumor Theory
Author(s): Fitzhugh, Sean | Advisor(s): Butts, Carter T | Abstract: A characteristic feature of disasters is the disruption of routine activities in a society. This disruption spurs novel activity
Case Study on Privacy-Aware Social Media Data Processing in Disaster Management
The findings show that, with the exception of training scenarios, deploying HyperLogLog in the data acquisition process will not distract the data analysis process and several benefits, such as improved working with huge datasets, may contribute to a more widespread use and adoption of the presented technique.
The role of sense of community in harnessing the wisdom of crowds and creating collaborative knowledge during the COVID-19 pandemic
This study investigates the role of sense of community in harnessing the wisdom of the crowd and creating collaborative knowledge during the COVID-19 pandemic. It also explores the impact of
Evidence and future potential of mobile phone data for disease disaster management
It is shown that mobile data holds great potential for improving the quality, quantity and timing of selected information required for disaster management, but that testing and evaluation of the benefits, constraints and limitations of mobile data use in a wider range of mobile-user and disaster contexts is needed to fully understand its utility, validity, and limitations.
A review of informal volunteerism in emergencies and disasters: Definition, opportunities and challenges
Despite highly specialised and capable emergency management systems, ordinary citizens are usually first on the scene in an emergency or disaster, and remain long after official services have ceased.
A big data analysis on the five dimensions of emergency management information in the early stage of COVID-19 in China
Abstract The all-round and multilevel responses to the epidemic, with professional medical institutions, the governments and the public as the main agents of response and the media as the bridge of
The potential for computational IT tools in disaster relief and shelter design
It is concluded that humanitarian workers in the shelter sector are very willing to adopt IT-based computational tools in their work and would appreciate doing so, but only if they have access to suitably simple tools which are quick to use and easy to learn.


Collaborative geospatial feature search
This work employs browser-based collaborative search for deriving the extents of geospatial objects (Points of Interest) from point-cloud data such as Flickr image locations and tags using a collaborative Web-based approach.
Harvesting ambient geospatial information from social media feeds
Social media generated from many individuals is playing a greater role in our daily lives and provides a unique opportunity to gain valuable insight on information flow and social networking within a
Location Estimation Using Crowdsourced Spatial Relations
This work uses information extraction methods to identify toponyms and spatial relations, and formulate a quantitative approach based on distance and orientation features to represent the latter, and uses Probability density functions for spatial relations to estimate unknown object locations.
Citizens as sensors: the world of volunteered geography
In recent months there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals. Sites such as Wikimapia and
Harvesting Geospatial Knowledge from Social Metadata Harvesting Geospatial Knowledge from Social Metadata
Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated,
Crowdsourcing urban form and function
A new typology for characterizing the role of crowdsourcing in the study of urban morphology is provided by synthesizing recent advancements in the analysis of open-source data, which shows how social media, trajectory, and traffic data can be analyzed to capture the evolving nature of a city’s form and function.
On User-Generated Geocontent
This paper advocates usergenerated content and crowdsourcing techniques as a means to create rich, both, in terms of quantity and quality, spatiotemporal datasets.
When a city tells a story: urban topic analysis
This paper applies a probabilistic topic model to obtain a decomposition of the stream of digital traces into a set of urban topics related to various activities of the citizens in the course of a week and describes an implementation architecture of the system, the main outputs of the analysis, and the derived exploratory visualisations.
How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets
Within the framework of Web 2.0 mapping applications, the most striking example of a geographical application is the OpenStreetMap (OSM) project. OSM aims to create a free digital map of the world
On the "localness" of user-generated content
The spatial content production model (SCPM) is introduced as a possible factor in the localness of UGC, and other theoretical and applied implications are discussed.