Crowdsourcing geospatial data

By Christian Heipke. 2010

484 citations recorded by the source corpus.

Subfields: Geography, Planning and Development, Ocean Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/015c5cdc19e6c0329689de296bccdaa7f7c3c3a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geography, Planning and Development

1. Pascal Neis
2. Alexander Zipf
3. Bin Jiang
4. Giles M. Foody
5. Dennis Zielstra
6. Geoff Boeing
7. Stephen V. Stehman
8. Andrea Tassi

In Ocean Engineering

1. Pascal Neis
2. Alexander Zipf

In Signal Processing

1. Pascal Neis
2. Alexander Zipf
3. Bin Jiang
4. Giles M. Foody
5. Dennis Zielstra
6. Norman Kerle
7. Geoff Boeing

Citations in the corpus

• Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, unknown): “…(e.g. Raymond, 2001; Flanagin and Metzger, 2008; Snow et al. , 2008; Welinder et al. , 2010; Girres and Touya, 2010; Haklay et al. , 2010; Heipke, 2010; Goodchild and Glennon, 2010; Goodchild and Li, 2012; Basiouka and Potsiou, 2012; Neis et al. , 2012; Comber et al. , 2013; Foody et al.…”
• Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information (2016, background): “Although some papers have clearly acknowledged the existence of different terms in the literature, see for example, [12,13], there has been little attempt to collate these in a single place, examine how they relate to one another or analyze their appearance over time.”
• The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011 (2011, background): “OSM is a well-known project in the field of Volunteered Geographic Information (VGI) [5–7], which others also describe as crowd sourced (geodata) [8–11].”
• Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives (2014, background): “allow the publication of crowd-sourcing geospatial data [52] which could be useful to collect fresh information on landslides and help civil protection and governmental agencies.”
• Analyzing the Contributor Activity of a Volunteered Geographic Information Project - The Case of OpenStreetMap (2012, background): “The literature describes this particular type of data as Volunteered Geographic Information (VGI) [5], while others describe the process as “crowdsourcing geospatial data” [6].”