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

Michael Goodchild est un géographe et un pionnier dans le domaine de la science de l'information géographique (SIG). Il est né le 24 février 1944 à Surrey, en Angleterre, et a obtenu son doctorat en géographie à l'Université de Bristol en 1969.

Goodchild est connu pour ses recherches sur les SIG, l'analyse spatiale et la télédétection. Il est l'auteur ou le co-auteur de plus de 15 livres et de plus de 500 articles, et a reçu de nombreux prix pour ses contributions dans le domaine de la géographie et des SIG.

En plus de son travail universitaire, Goodchild a été impliqué dans diverses organisations et initiatives liées au SIG, notamment en tant que rédacteur en chef de la revue "Geographical Analysis" et en tant que président fondateur du National Center for Geographic Information and Analysis (NCGIA) en les États Unis.

Goodchild est actuellement professeur émérite de géographie à l'Université de Californie à Santa Barbara et continue d'être actif dans la recherche et l'enseignement.

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