scholarly journals The Impact of Society on Volunteered Geographic Information: The Case of OpenStreetMap

2015 ◽  
pp. 125-141 ◽  
Author(s):  
Afra Mashhadi ◽  
Giovanni Quattrone ◽  
Licia Capra
Keyword(s):  
Volunteered Geographic Information ◽  
Geographic Information ◽  
The Impact

scholarly journals Participatory mapping of regional food assets using volunteered geographic information systems

2021 ◽  
Author(s):  
Victoria Fast
Keyword(s):  
Food Systems ◽  
Food System ◽  
Local Food ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Participatory Mapping ◽  
Regional Food ◽  
The Creation ◽  
Systems Framework ◽  
The Impact

Local food systems are increasingly being studied in response to the threats imposed on global agri-industrial food systems. Central to local food is the community who is imaging and implementing diverse and hyper-local food assets, which are making a significant, but largely unknown, contribution to food security, resiliency, and sustainability. It is important to align these assets with broader regional food policies, programs, and regulations. However, there are few mechanisms to engage stakeholders or share local information. One possible mechanism to learn about local food assets is volunteered geographic information (VGI); a phenomenon that blends crowdsourcing, citizen science, and online mapping. It is currently being studied for its ability to engage and gather information from diverse and under-represented groups. This policy-relevant research investigates how VGI can support greater engagement and knowledge sharing across diverse food stakeholders. To achieve this objective, the VGI system framework is established to study the processes that support the creation of VGI. Next, the new era of food mapping, dubbed Food Mapping 2.0, is investigated to understand the impact evolving mapping techniques have on the engagement of food stakeholders. Lastly, the VGI systems framework, which is embedded in participatory geographic information system and participatory action research methods, is applied to support participatory mapping of regional food assets in Durham Region. His research gathered contributions on over 200 food assets in Durham Region – an upper-tier municipality just east of Toronto consisting of eight lower-tier municipalities – effectively capturing the distributed intelligence of government, not-for-profit, and community stakeholders. The crowdsourced data include locations, descriptions, and media related to farms, markets, community gardens, foodscapes, and other innovative food assets. The community identified urban food assets as a central strength of the regional food system. Overall, this project enabled the creation of an open food assets dataset, further supporting the development of an online Food Assets map and a Crowdsourcing Urban Food Assets report, which are collective used to inform future food policy, regulation, and program development. Overall, this research revealed a uniquely local and community-driven perspective about food system assets within Durham, while serving as a prototype of the VGI systems framework.

scholarly journals Participatory mapping of regional food assets using volunteered geographic information systems

2021 ◽  
Author(s):  
Victoria Fast
Keyword(s):  
Food Systems ◽  
Food System ◽  
Local Food ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Participatory Mapping ◽  
Regional Food ◽  
The Creation ◽  
Systems Framework ◽  
The Impact

Local food systems are increasingly being studied in response to the threats imposed on global agri-industrial food systems. Central to local food is the community who is imaging and implementing diverse and hyper-local food assets, which are making a significant, but largely unknown, contribution to food security, resiliency, and sustainability. It is important to align these assets with broader regional food policies, programs, and regulations. However, there are few mechanisms to engage stakeholders or share local information. One possible mechanism to learn about local food assets is volunteered geographic information (VGI); a phenomenon that blends crowdsourcing, citizen science, and online mapping. It is currently being studied for its ability to engage and gather information from diverse and under-represented groups. This policy-relevant research investigates how VGI can support greater engagement and knowledge sharing across diverse food stakeholders. To achieve this objective, the VGI system framework is established to study the processes that support the creation of VGI. Next, the new era of food mapping, dubbed Food Mapping 2.0, is investigated to understand the impact evolving mapping techniques have on the engagement of food stakeholders. Lastly, the VGI systems framework, which is embedded in participatory geographic information system and participatory action research methods, is applied to support participatory mapping of regional food assets in Durham Region. His research gathered contributions on over 200 food assets in Durham Region – an upper-tier municipality just east of Toronto consisting of eight lower-tier municipalities – effectively capturing the distributed intelligence of government, not-for-profit, and community stakeholders. The crowdsourced data include locations, descriptions, and media related to farms, markets, community gardens, foodscapes, and other innovative food assets. The community identified urban food assets as a central strength of the regional food system. Overall, this project enabled the creation of an open food assets dataset, further supporting the development of an online Food Assets map and a Crowdsourcing Urban Food Assets report, which are collective used to inform future food policy, regulation, and program development. Overall, this research revealed a uniquely local and community-driven perspective about food system assets within Durham, while serving as a prototype of the VGI systems framework.

Context Analysis of Volunteered Geographic Information from Social Media Networks to Support Disaster Management

2012 ◽  
Vol 4 (4) ◽  
pp. 16-37 ◽  
Author(s):  
Frank Ostermann ◽  
Laura Spinsanti
Keyword(s):  
Social Media ◽  
Forest Fires ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Context Analysis ◽  
Social Media Networks ◽  
Geographic Context ◽  
Crisis Events ◽  
Successful Case ◽  
The Impact

The increasing diffusion of integrated mobile devices connected with social networks has changed the way geographic information is collected, distributed and used. Several studies have already investigated the impact of social media during crisis events. Although networks of volunteers have demonstrated the ability to curate a large amount of information reliably, this approach faces issues of sustainability and scalability. Therefore, the authors propose a semi-automatic approach to extract volunteered geographic information from social media networks, to evaluate its quality, and thereby to render it useful during any crisis event. The system presented is novel in its approach in that it focuses less on individual pieces of information, and instead uses (geographic) context to determine quality and utility. This paper presents a successful case study on forest fires, but the system architecture is adaptable to different types of crisis events.

scholarly journals A framework for regional smart energy planning using volunteered geographic information

2020 ◽  
Vol 54 ◽  
pp. 179-193
Author(s):  
Javier Valdes ◽  
Sebastian Wöllmann ◽  
Andreas Weber ◽  
Grégoire Klaus ◽  
Christina Sigl ◽  
...  
Keyword(s):  
Optimization Model ◽  
Web Application ◽  
Simulation Models ◽  
Volunteered Geographic Information ◽  
Energy System ◽  
Geographic Information ◽  
Weather Data ◽  
Energy Planning ◽  
Optimization And Simulation ◽  
The Impact

Abstract. This study presents a framework for regional smart energy planning for the optimal location and sizing of small hybrid systems. By using an optimization model – in combination with weather data – various local energy systems are simulated using the Calliope and PyPSA energy system simulation tools. The optimization and simulation models are fed with GIS data from different volunteered geographic information projects, including OpenStreetMap. These allow automatic allocation of specific demand profiles to diverse OpenStreetMap building categories. Moreover, based on the characteristics of the OpenStreetMap data, a set of possible distributed energy resources, including renewables and fossil-fueled generators, is defined for each building category. The optimization model can be applied for a set of scenarios based on different assumptions on electricity prices and technologies. Moreover, to assess the impact of the scenarios on the current distribution infrastructure, a simulation model of the low- and medium-voltage network is conducted. Finally, to facilitate their dissemination, the results of the simulation are stored in a PostgreSQL database, before they are delivered by a RESTful Laravel Server and displayed in an angular web application.

Assessing the impact of demographic characteristics on spatial error in volunteered geographic information features

GeoJournal ◽  
2014 ◽  
Vol 80 (4) ◽  
pp. 587-605 ◽  
Author(s):  
William F. Mullen ◽  
Steven P. Jackson ◽  
Arie Croitoru ◽  
Andrew Crooks ◽  
Anthony Stefanidis ◽  
...  
Keyword(s):  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Demographic Characteristics ◽  
Spatial Error ◽  
The Impact

scholarly journals Geoinformation Technologies in Support of Environmental Hazards Monitoring under Climate Change: An Extensive Review

2021 ◽  
Vol 10 (2) ◽  
pp. 94
Author(s):  
Andreas Tsatsaris ◽  
Kleomenis Kalogeropoulos ◽  
Nikolaos Stathopoulos ◽  
Panagiota Louka ◽  
Konstantinos Tsanakas ◽  
...  
Keyword(s):  
Climate Change ◽  
Environmental Monitoring ◽  
Environmental Hazards ◽  
Geographic Information ◽  
Added Value ◽  
Spatial Data Analysis ◽  
Anthropogenic Factors ◽  
Geospatial Technologies ◽  
Main Challenge ◽  
The Impact

Human activities and climate change constitute the contemporary catalyst for natural processes and their impacts, i.e., geo-environmental hazards. Globally, natural catastrophic phenomena and hazards, such as drought, soil erosion, quantitative and qualitative degradation of groundwater, frost, flooding, sea level rise, etc., are intensified by anthropogenic factors. Thus, they present rapid increase in intensity, frequency of occurrence, spatial density, and significant spread of the areas of occurrence. The impact of these phenomena is devastating to human life and to global economies, private holdings, infrastructure, etc., while in a wider context it has a very negative effect on the social, environmental, and economic status of the affected region. Geospatial technologies including Geographic Information Systems, Remote Sensing—Earth Observation as well as related spatial data analysis tools, models, databases, contribute nowadays significantly in predicting, preventing, researching, addressing, rehabilitating, and managing these phenomena and their effects. This review attempts to mark the most devastating geo-hazards from the view of environmental monitoring, covering the state of the art in the use of geospatial technologies in that respect. It also defines the main challenge of this new era which is nothing more than the fictitious exploitation of the information produced by the environmental monitoring so that the necessary policies are taken in the direction of a sustainable future. The review highlights the potential and increasing added value of geographic information as a means to support environmental monitoring in the face of climate change. The growth in geographic information seems to be rapidly accelerated due to the technological and scientific developments that will continue with exponential progress in the years to come. Nonetheless, as it is also highlighted in this review continuous monitoring of the environment is subject to an interdisciplinary approach and contains an amount of actions that cover both the development of natural phenomena and their catastrophic effects mostly due to climate change.

Volunteered geographic information

Geography ◽  
2014 ◽  
Vol 99 (3) ◽  
pp. 157-160
Author(s):  
Doreen S. Boyd ◽  
Giles M. Foody
Keyword(s):  
Volunteered Geographic Information ◽  
Geographic Information

Assessing The Quality of Water Depth Derived From Volunteered Geographic Information (VGI) For Flood Monitoring. A Case Study of Hurricane Harvey In Harris County, Texas

2021 ◽  
Author(s):  
Abdullatif Alyaqout ◽  
T. Edwin Chow ◽  
Alexander Savelyev
Keyword(s):  
Water Depth ◽  
Temporal Distribution ◽  
Volunteered Geographic Information ◽  
Temporal Variations ◽  
Geographic Information ◽  
Text Messages ◽  
Quality Of Water ◽  
Significant Difference ◽  
Flood Monitoring

Abstract The primary objectives of this study are to 1) assess the quality of each volunteered geographic information (VGI) data modality (text, pictures, and videos), and 2) evaluate the quality of multiple VGI data sources, especially the multimedia that include pictures and videos, against synthesized water depth (WD) derived from remote sensing (RS) and authoritative data (e.g. stream gauges and depth grids). The availability of VGI, such as social media and crowdsourced data, empowered the researchers to monitor and model floods in near-real-time by integrating multi-sourced data available. Nevertheless, the quality of VGI sources and its reliability for flood monitoring (e.g. WD) is not well understood and validated by empirical data. Moreover, existing literature focuses mostly on text messages but not the multimedia nature of VGI. Therefore, this study measures the differences in synthesized WD from VGI modalities in terms of (1) spatial and (2) temporal variations, (3) against WD derived from RS, and (4) against authoritative data including (a) stream gauges and (b) depth grids. The results of the study show that there are significant differences in terms of spatial and temporal distribution of VGI modalities. Regarding VGI and RS comparison, the results show that there is a significant difference in WD between VGI and RS. In terms of VGI and authoritative data comparison, the analysis revealed that there is no significant difference in WD between VGI and stream gauges, while there is a significant difference between the depth grids and VGI.

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