Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen

Irma Kveladze; Marina Georgati; Carsten Keßler; Henning Sten Hansen

doi:10.1080/17489725.2023.2238658

Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen

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Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

4 Citationer (Scopus)

Abstract

Human migration is associated with a dynamic process that stimulates the generation of large data streams that hold valuable information and is possible to comprehend through different visualisation methods. In this research, we present an analytical approach to understanding human migration patterns in urban areas of Amsterdam and Copenhagen. Unlike other methods, we propose to map migration data within grid cells by retaining data characteristics and plotting statistical calculation analysis for better visualisation and analytics.

Originalsprog	Engelsk
Tidsskrift	Journal of Location Based Services
Vol/bind	17
Udgave nummer	4
Sider (fra-til)	426-446
Antal sider	21
ISSN	1748-9725
DOI	https://doi.org/10.1080/17489725.2023.2238658
Status	Udgivet - 2 okt. 2023
Begivenhed	17th Conference on Location Based Services - Munich, Tyskland Varighed: 12 sep. 2022 → 14 sep. 2022 https://conferences.lfk.lrg.tum.de/lbs2022/program.html

Konference

Konference	17th Conference on Location Based Services
Land/Område	Tyskland
By	Munich
Periode	12/09/2022 → 14/09/2022
Internetadresse	https://conferences.lfk.lrg.tum.de/lbs2022/program.html

FN’s Verdensmål

Denne publikation bidrager til følgende verdensmål

Verdensmål 10 Mindre ulighed
Verdensmål 11 Bæredygtige byer og lokalsamfund
Verdensmål 16 Fred, retfærdighed og stærke institutioner

Adgang til dokumentet

10.1080/17489725.2023.2238658

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Link to publication in Scopus

FUME: Future Migration Scenarios for Europe
Hansen, H. S. (PI (principal investigator)), Keßler, C. (CoI (co-investigator)), Georgati, M. (Projektdeltager), Kveladze, I. (Projektdeltager) & Diop, L. E. N. (Projektdeltager)
01/12/2019 → 31/05/2023
Projekter: Projekt › Forskning

Citationsformater

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title = "Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen",

abstract = "Human migration is associated with a dynamic process that stimulates the generation of large data streams that hold valuable information and is possible to comprehend through different visualisation methods. In this research, we present an analytical approach to understanding human migration patterns in urban areas of Amsterdam and Copenhagen. Unlike other methods, we propose to map migration data within grid cells by retaining data characteristics and plotting statistical calculation analysis for better visualisation and analytics.",

keywords = "Human migration, analytics, behaviour patterns, visualisation",

author = "Irma Kveladze and Marina Georgati and Carsten Ke{\ss}ler and Hansen, \{Henning Sten\}",

year = "2023",

month = oct,

day = "2",

doi = "10.1080/17489725.2023.2238658",

language = "English",

volume = "17",

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journal = "Journal of Location Based Services",

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publisher = "Taylor \& Francis",

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TY - JOUR

T1 - Analytics of historical human migration patterns

T2 - 17th Conference on Location Based Services

AU - Kveladze, Irma

AU - Georgati, Marina

AU - Keßler, Carsten

AU - Hansen, Henning Sten

PY - 2023/10/2

Y1 - 2023/10/2

N2 - Human migration is associated with a dynamic process that stimulates the generation of large data streams that hold valuable information and is possible to comprehend through different visualisation methods. In this research, we present an analytical approach to understanding human migration patterns in urban areas of Amsterdam and Copenhagen. Unlike other methods, we propose to map migration data within grid cells by retaining data characteristics and plotting statistical calculation analysis for better visualisation and analytics.

AB - Human migration is associated with a dynamic process that stimulates the generation of large data streams that hold valuable information and is possible to comprehend through different visualisation methods. In this research, we present an analytical approach to understanding human migration patterns in urban areas of Amsterdam and Copenhagen. Unlike other methods, we propose to map migration data within grid cells by retaining data characteristics and plotting statistical calculation analysis for better visualisation and analytics.

KW - Human migration

KW - analytics

KW - behaviour patterns

KW - visualisation

UR - https://www.scopus.com/pages/publications/85165702977

U2 - 10.1080/17489725.2023.2238658

DO - 10.1080/17489725.2023.2238658

M3 - Journal article

SN - 1748-9725

VL - 17

SP - 426

EP - 446

JO - Journal of Location Based Services

JF - Journal of Location Based Services

IS - 4

Y2 - 12 September 2022 through 14 September 2022

ER -

Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen

Abstract

Konference

FN’s Verdensmål

Adgang til dokumentet

AUB Link

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Fingeraftryk

Projekter

FUME: Future Migration Scenarios for Europe

Citationsformater