Author(s):

Teriitutea Quesnot. Full Professor, Department of Geography of Université Côte d’Azur (Nice, France). Research Chair from Institut Universitaire de France (Paris, France).

Abstract:

Teriitutea Quesnot gets to the heart of the field by proposing a renewed conceptualization of geospatial data types that is more in line with the current conditions of their production on the web, where social networks now take the lion’s share. To the classic distinction between “data” – data digitized from the physical environment – and “capta” – data captured by web platforms, often without their users’ knowledge – he adds a third category, “quaesita”, whose purpose is to use algorithms to influence individuals’ spatial behavior. He then revisits the question of geospatial data through the concepts of Human-trace, trace-signs, geospatial traces, footprints and algorithmic spatiality. For him, the new techniques of augmented, diminished and mixed reality aim to superimpose these algorithmically calculated “quaesita”onto individuals’ perceptions in situ to influence their decisions.

1. The genesis of geographic “data”.
2.  Social web platforms and the proliferation of “capta”.
3.  From geospatial footprints to geographic “quaesita”.
4.  Deconstructing our (geo)digital footprints: pipe dreams and realities. 

See:

Algorithmics at the Heart of Web-based Geographic Data Production

https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781394452156.fmatter. Thierry Joliveau,  UMR Environnement-Ville-Société, Université Jean Monnet de Saint-Etienne, France. Matthieu Noucher UMR CNRS PASSAGES, Pessac, France

Béatrice Galinon-Mélénec

Founder

Béatrice Galinon-Mélénec, Professeur des universités. Classe exceptionnelle 1 & 2, émérite depuis 2018. Chercheur associé à IDEES Unité Mixte de… Lire la suite

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