Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan

DOI10.1007/s10260-014-0294-3zbMath1441.62865OpenAlexW2011294651MaRDI QIDQ497810

Simone Vantini, Valeria Vitelli, Piercesare Secchi

Publication date: 25 September 2015

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-014-0294-3

zbMATH Keywords

spatial statisticsVoronoi tessellationbaggingfunctional data analysisErlang datatreelet analysis

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from spatial processes (62M30) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (11)

Optimal sampling for spatial prediction of functional data ⋮ Understanding resident mobility in Milan through independent component analysis of Telecom Italia mobile usage data ⋮ On the role of statistics in the era of big data: a call for a debate ⋮ Statistical modeling of spatial big data: an approach from a functional data analysis perspective ⋮ European population exposure to airborne pollutants based on a multivariate spatio-temporal model ⋮ Discussion of the paper ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan ⋮ Discussion of ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan by Piercesare Secchi, Simone Vantini and Valeria Vitelli ⋮ Rejoinder to the discussion of ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan ⋮ Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics ⋮ Kernel-based estimation of individual location densities from smartphone data ⋮ Functional exploratory data analysis for high-resolution measurements of urban particulate matter

Uses Software

• fda (R)
• spBayes
• fastHICA

Cites Work

• Unnamed Item
• \(k\)-mean alignment for curve clustering
• Hierarchical independent component analysis: a multi-resolution non-orthogonal data-driven basis
• Hidden Markov random fields
• Treelets -- an adaptive multi-scale basis for sparse unordered data
• Curve alignment by moments
• Functional data analysis.
• A theory for multiresolution signal decomposition: the wavelet representation
• Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds
• Curve Registration
• Semiparametric Nonlinear Mixed-Effects Models and Their Applications
• A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery

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