Files

tfg_murilloo_auset_alberto.pdf (1.45 MB)

Document type

Bachelor thesis

Publication date

2023-01

Publication license

cc-by-nc-nd (c) Alberto Murillo Auset, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/198840

Spatial statistics and Gravity models with an application to the analysis of migration flows in Catalonia using 2019 data

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

[en] The aim of this work is to examine spatial statistics fundamentals and to study three different types of models used for flux migration forecasting: gravity models, radiation models and deep gravity models. The attention is drawn on Gaussian random fields, stationarity, kriging, Gaussian autoregression models and Markov random fields. Four gravity models, their respective four multi-linear regression models and a radiation model are implemented, all pulling the same data, to forecast migration flows within Catalonia (Spain) in 2019 between comarques by using data from these locations.

Description

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Josep Vives i Santa Eulàlia

Subject

Treballs de fi de grau, Processos de Markov, Anàlisi multivariable, Estadística matemàtica, Migració (Població)

Subject (English)

Bachelor's theses, Markov processes, Multivariate analysis, Mathematical statistics, Migration (Population)

Citation

Collections

Treballs Finals de Grau (TFG) - Matemàtiques

Citation

MURILLO AUSET, Alberto. Spatial statistics and Gravity models with an application to the analysis of migration flows in Catalonia using 2019 data. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/198840

Export metadata

JSON - METS

Share record