Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane
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We consider a data owner that outsources its dataset to an untrusted server. The owner wishes to enable the server to answer range queries on a single attribute, without compromising the privacy of the data and the queries. There are several schemes on “pr ...
In the last ten years, new sources of urban big data have made it possible for algorithms to increasingly control how the city is perceived, understood and managed by its inhabitants; this is the data-driven city.
New efforts in the social sciences, like ...
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While regional differences in life expectancy have flattened out in Switzerland, we investigate the effect of periurbanization on the geography of mortality. Using data from vital statistics and censuses, we find an increasing intra-urban differentiation o ...
This article presents a mapping method that seeks to provide urban planning with a general overview of the underground resources of an urban area. Resource potentials (for buildable space, groundwater or geomaterial extraction and geothermal energy) tend t ...
Efficiently querying multiple spatial data sets is a growing challenge for scientists. Astronomers query data sets that contain different types of stars (e.g., dwarfs, giants, stragglers) while neuroscientists query different data sets that model different ...
Toward industry 4.0, modern manufacturing companies are aiming at building digital twins to manage physical assets, processes, people, and places. Since in this environment, massive amounts of data have been generated and collected, integration and managem ...
The typical enterprise data architecture consists of several actively updated data sources (e.g., NoSQL systems, data warehouses), and a central data lake such as HDFS, in which all the data is periodically loaded through ETL processes. To simplify query p ...
Rapid urbanization, climate change, sustainable development, resource depletion, the widespread use of the Internet and mobile phones, and the big data phenomenon all pose great challenges to urban planning. By facilitating data exchange, collection, and a ...
With large-scale simulations of increasingly detailed models and improvement of data acquisition technologies, massive amounts of data are easily and quickly created and collected. Traditional systems require indexes to be built before analytic queries can ...