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Human migration the big data perspective
How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing...-
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Self-Rated Health Among Italian Immigrants Living in Norway: A Cross-Sectiona...
Most of the respondents (69%) rated their Health as “good” or “very good”. This figure was not significantly different with the Norwegian population, nor to the Italians... -
Private 64-tiles tessellation of Chicago
Squared tessellation of the city center of Chicago, Illinois, into 64 tiles. Tessellation only of the central part of Chicago, namely the neighborhoods 'LOOP', 'NEAR SOUTH... -
Python library for direct and indirect discrimination prevention in data mining
This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...-
GitHub
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GitHub
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MyWay - Trajectory Prediction
MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the... -
The limits of differential privacy and its misuse in data release and machine...
Differential privacy (DP) is a neat privacy definition that can co-exist with certain well-defined data uses in the context of interactive queries. However, DP is neither a... -
Diary-based Trajectory Generator
Ditras (DIary-based TRAjectory Simulator) is a framework to simulate the spatio-temporal patterns of human mobility. It operates in two steps: the generation of a mobility... -
Automated Methods of Urban Green Analysis
The seminar aims at providing a preliminary definition of the state-of-the-art upon automatic methods for systematized urban green data collection. The talk focuses on the...-
.webloc
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.webloc
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Spatio temporal visual analytics a vision for 2020s
Visual analytics is a research discipline that is based on acknowledging the power and the necessity of the human vision, understanding, and reasoning in data analysis and...-
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Experiment for Mobility Constrained Segregation Models
We propose a segregation model incorporating mobility constraints to make agents select their location based on distance and location relevance. This study fills this gap by... -
Analysis of changes in visits to public venues during the COVID-19 pandemic
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed... -
M-Atlas
M-Atlas is a mobility querying and data mining system centered onto the concept of spatio-temporal data. Besides the mechanisms for storing and querying trajectory data,... -
Tutorials on anonymization and antidiscrimination of datasets
These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...-
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ipynb
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ipynb
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STS-EPR - Trajectory generator
Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...-
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text/x-python
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Mobility Profile
This algorithm allows to create a mobility profile of the users' mobility. A mobility profile is a set of representative trips selected from the entire set of trips of a user. -
Matlas - Trajectory Builder
Trajectory Builder is an Algorithm to reconstruct trajectories from spatio-temporal observation according to specific user constraints.-
ZIP
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ZIP
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ZIP
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Statistical validation
This is a method to filter a large complex network to its backbone structure, by means of statistical hypothesis testing. This method is available as a downloadable software...-
tar.gz
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tar.gz
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GSP - Geo-Semantic-Parsing
GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To... -
Validation for MoGAN
We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of... -
Interpretable socioeconomic status inference from aerial imagery through urba...
Urbanization is a great challenge for modern societies, promising better access to economic opportunities, but widening socioeconomic inequalities. Accurately tracking this...-
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