Mapping the Mappers

2022 ◽  
pp. 526-547
Author(s):  
Francesca De Chiara ◽  
Maurizio Napolitano
Keyword(s):  
Collective Intelligence ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Important Task ◽  
Public Knowledge ◽  
Vast Amount ◽  
Testing Ground

Volunteered geographic information (VGI) platforms generate crowdsourced layers where a vast amount of shared and shareable geo-information is available. Monitoring the informative reliability of these sources is an important task, and the main VGI project, OpenStreetMap is a good testing ground to investigate how the collective intelligence made of users' networks creates public knowledge. OpenStreetMap (OSM) can be defined as a language of representation of real geographical entities shared as web maps. Mappers often work in solitude, but they stick to and strictly respect the rules given by their community. The aim is to create a geographical database used by anyone for any purpose. The chapter explores the following questions: How many contributors are there? Where are they and what do they collect? What are the interactions between them? The chapter illustrates what can be read from the OSM data, the available tools, and what could help researchers to understand this community.

scholarly journals Shared Aerial Drone Videos — Prospects and Problems for Volunteered Geographic Information Research

2019 ◽  
Vol 11 (1) ◽  
pp. 462-470 ◽  
Author(s):  
Uglješa Stankov ◽  
Ðorđije Vasiljević ◽  
Verka Jovanović ◽  
Mirjana Kranjac ◽  
Miroslav D. Vujičić ◽  
...  
Keyword(s):  
Social Media ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
User Generated Content ◽  
Digital Earth ◽  
Vast Amount ◽  
Earth Systems ◽  
The Social ◽  
Information Research ◽  
Significant Attention

Abstract The practice of producing drone videos for hobby or commercial purposes has already created a vast amount of open and free video datasets. When these videos are properly authored, time-stamped and geo-referenced, they receive characteristics of volunteered geographic information (VGI). As alternative forms to user-generated content (UGC), these visually appealing footages attract significant attention, but their production faces different practical and motivational issues that could impose limitation on the value of this kind of VGI. In order to better understand volunteered geographic drone videos (VGDV) from the social media and VGI perspective we conceptualize and discuss prospects and problems that could be explored in further research. This paper contributes to the development of theory about aerial drone videos, exploration of aerial drone video UGC characteristics and to the applicability of drone videos in Digital Earth systems.

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.

scholarly journals Structures data collection for the national map using volunteered geographic information

2012 ◽  
Author(s):  
Barbara S. Poore ◽  
Eric B. Wolf ◽  
Erin M. Korris ◽  
Jennifer L. Walter ◽  
Greg D. Matthews
Keyword(s):  
Data Collection ◽  
Volunteered Geographic Information ◽  
Geographic Information
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