Measurability, Representation and Interpretation of Spatial Usage in Knowledge-Sharing Environments - A Descriptive Model Based on WiFi Technologies.
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TL;DR
The paper explores the potential of using available WiFi networks as an input for a space-use analysis model capable of describing observing, recording and quantifying and visualizing spatial usage and users' spatial behaviours in knowledge-sharing scenarios and correlating this information to spatial structure.
Abstract
Abstract. The paper explores the potential of using available WiFi networks as an input for a space-use analysis model capable of describing- observing, recording and quantifying- and visualizing spatial usage and users ' spatial behaviours in knowledge-sharing scenarios and correlating this information to spatial structure. Knowledge-sharing scenarios are defined as physical locations where people go for acquiring, transmitting and producing knowledge carrying mobile devices functioning as location probes. The proposed model is based on a crossover of Space Syntax and Spatial Information Visualization. Emerging spatial patterns of knowledge-sharing are identified by combining spatial description with spatial information visualization. The paper considers the representation of inputs acquired by WiFi network of Instituto Superior Técnico campus using FLUX * visualization platform; the comparison between patterns of spatial configuration and user mobility and the discussion of the proposed space-use analysis model potential. Keywords: wireless sensors, WiFi, FLUX*, information visualization, spaceuse analysis model, knowledge-sharing patterns.
