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Core to many scientific and analytics applications are spatial data capturing the position or shape of objects in space, and time series recording the values of a process over time. Effective analysis of such data requires a shift from confirmatory pipelin ...
In the context of this master thesis, a Spatial Data Infrastructure (SDI) was designed to store distributed air quality sensors data to provide a framework to facilitate the downloading, the analysis and in turn the understanding of the spatial distributio ...
Wildfires and associated emissions of particulate matter pose significant environmental and health concerns. In this study we propose tools to evaluate building resilience to extreme episodes of outdoor particulate matter using a combination of indoor and ...
The present paper focuses on the work conducted by the NGO Teto in São Paulo (Brazil), where a series of datasets providing geographic information on slums is being elaborated thanks to recent geospatial technologies well suited for a non-specialist, volun ...
One of the greatest challenges for the socio-spatial integration of informal settlements to the “formal” urban fabric, equipped with basic infrastructures and services, is the critical lack of data on the populations and the built environments of those set ...
Background: Evidence suggests that sugar-sweetened beverage (SSB) intake frequency is positively associated with the risk of obesity and diabetes. We aimed to identify populations and areas in high need for interventions to reduce SSB consumption using a f ...
Study of the spatial distribution of monitoring stations over Lombardia using cluster analysis of pollutants time series and spatial statistics tools ...
The purpose of this report is to detail the findings of a long-term evaluation study on the impact of installing electrochromic glazing in two different buildings owned by Audemars Piguet. The two locations under investigation are the APRP ateliers in Le L ...
We present an interpretable framework for path prediction that leverages dependencies between agents' behaviors and their spatial navigation environment. We exploit two sources of information: the past motion trajectory of the agent of interest and a wide ...
The problem of autonomously mapping highly cluttered environments, such as urban and natural canyons, is intractable with the current UAV technology. The reason lies in the absence or unreliability of GNSS signals due to partial sky occlusion or multi-path ...