Statistical modeling of spatial big data: An approach from a functional data analysis perspective

Archive ouverte : Article de revue

Giraldo, Ramón | Dabo-Niang, Sophie | Martinez, Sergio

Edité par HAL CCSD ; Elsevier

International audience. A literature review on spatial big data analysis is given. We show an application of Universal Kriging to a massive spatial dataset. We also present some perspectives of future work in this field.

Consulter en ligne

Suggestions

Du même auteur

Non-parametric statistical analysis of spatially distributed functional data | Dabo-Niang, Sophie

Non-parametric statistical analysis of spatially distributed functional dat...

Archive ouverte: Type de document indéfini

Dabo-Niang, Sophie | 2021

International audience

Predictive spatio-temporal model for spatially sparse global solar radiation data | André, Maïna

Predictive spatio-temporal model for spatially sparse global solar radiatio...

Archive ouverte: Article de revue

André, Maïna | 2016-09

International audience. This paper introduces a new approach for the forecasting of solar radiation series at a located station for very short time scale. We built a multivariate model in using few stations (3 stati...

On estimation in a spatial functional linear regression model with derivatives | Bouka, Stéphane

On estimation in a spatial functional linear regression model with derivati...

Archive ouverte: Article de revue

Bouka, Stéphane | 2018-05

International audience. This paper deals with functional linear regression for spatial data. We study the asymptotic properties of an estimator of a linear model where a spatial scalar response variable is related t...

Du même sujet

Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models | Dabo-Niang, Sophie

Short-term air temperature forecasting using Nonparametric Functional Data ...

Archive ouverte: Article de revue

Dabo-Niang, Sophie | 2019-01

International audience. Air temperature is a significant meteorological variable that affects social activities and economic sectors. In this paper, a non-parametric and a parametric approach are used to forecast ho...

Generalized Functional Linear Models under Choice-Based Sampling | Dabo-Niang, Sophie

Generalized Functional Linear Models under Choice-Based Sampling

Archive ouverte: Pré-publication, document de travail, ...

Dabo-Niang, Sophie | 2016-07-26

We propose here to describe and estimate a functional binary model in a context of sampling data. This problem is known respectively in econometric and epidemiology literatures, as Choice-Based Sampling and case-control study, in ...

Strong consistency result of a non parametric conditional mode estimator under random censorship for functional regressors | Salah, Khardani

Strong consistency result of a non parametric conditional mode estimator un...

Archive ouverte: Article de revue

Salah, Khardani | 2016-03

International audience. Let (T, C, X) be a vector of random variables (rvs) where T, C, and X are the interest variable, a right censoring rv, and a covariate, respectively. In this paper, we study the kernel condit...

Contribution to spatial statistics and functional data analysis. Contribution à la statistique spatiale et l'analyse de données fonctionnelles | Ahmed, Mohamed Salem

Contribution to spatial statistics and functional data analysis. Contributi...

Archive ouverte: Thèse

Ahmed, Mohamed Salem | 2017-12-12

This thesis is about statistical inference for spatial and/or functional data. Indeed, weare interested in estimation of unknown parameters of some models from random or nonrandom(stratified) samples composed of independent or spa...

Chargement des enrichissements...