Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice pdf

Michael Goodchild is a geographer and a pioneer in the field of geographic information science (GIS). He was born on February 24, 1944, in Surrey, England, and obtained his PhD in geography from the University of Bristol in 1969.

Goodchild is known for his research on GIS, spatial analysis, and remote sensing. He has authored or co-authored over 15 books and more than 500 articles, and has received numerous awards for his contributions to the field of geography and GIS.

In addition to his academic work, Goodchild has been involved in various organizations and initiatives related to GIS, including serving as the editor of the journal "Geographical Analysis" and as the founding chair of the National Center for Geographic Information and Analysis (NCGIA) in the United States.

Goodchild is currently a professor emeritus of geography at the University of California, Santa Barbara, and continues to be active in research and teaching.

Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice pdf by Michael Goodchild

"Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice" is a book written by Michael Goodchild, a renowned geographer and GIS expert. The book explores the concept of volunteered geographic information (VGI) and its potential impact on the field of geography.

The book starts by defining VGI as the collective effort of individuals to create and share geographic information. This information can be collected using a variety of tools, including GPS-enabled devices, social media platforms, and mobile apps. Goodchild then examines the different types of VGI, such as citizen science, crowd mapping, and participatory GIS, and explains how they are used in practice.

One of the key themes of the book is the potential of VGI to democratize the production of geographic knowledge. Goodchild argues that traditional methods of data collection and analysis, which rely on experts and centralized institutions, can be exclusionary and lead to a skewed understanding of the world. VGI, on the other hand, can provide a more diverse and representative set of data, as well as engage individuals who might not have had the opportunity to participate in geographic research before.

Goodchild also acknowledges the challenges and limitations of VGI, such as issues of data quality, privacy, and the digital divide. He provides case studies of successful VGI projects, such as OpenStreetMap and Geo-Wiki, as well as examples of VGI being used in disaster response, environmental monitoring, and urban planning.