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

Irma Kveladze^*, Marina Georgati, Carsten Keßler, Henning Sten Hansen

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (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.

Original language	English
Title of host publication	Location Based Services
Number of pages	21
Volume	17
Publisher	Taylor & Francis
Publication date	Dec 2023
Pages	426-446
DOIs	https://doi.org/10.1080/17489725.2023.2238658
Publication status	Published - Dec 2023
Event	17th Conference on Location Based Services - Munich, Germany Duration: 12 Sept 2022 → 14 Sept 2022 https://conferences.lfk.lrg.tum.de/lbs2022/program.html

Conference

Conference	17th Conference on Location Based Services
Country/Territory	Germany
City	Munich
Period	12/09/2022 → 14/09/2022
Internet address	https://conferences.lfk.lrg.tum.de/lbs2022/program.html

Series	Journal of Location Based Services
Number	4
Volume	17
ISSN	1748-9725

Keywords

Human migration
analytics
behaviour patterns
visualisation

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10.1080/17489725.2023.2238658

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Cite this

@inproceedings{5052234c717e4e8191dbcc5ab64a7974,

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 = dec,

doi = "10.1080/17489725.2023.2238658",

language = "English",

volume = "17",

series = "Journal of Location Based Services",

publisher = "Taylor & Francis",

number = "4",

pages = "426--446 ",

booktitle = "Location Based Services",

address = "United Kingdom",

note = "17th Conference on Location Based Services , LBS 2022 ; Conference date: 12-09-2022 Through 14-09-2022",

url = "https://conferences.lfk.lrg.tum.de/lbs2022/program.html",

}

Kveladze, I , Georgati, M , Keßler, C & Hansen, HS 2023, Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen. in Location Based Services. vol. 17, Taylor & Francis, Journal of Location Based Services, no. 4, vol. 17, pp. 426-446 , 17th Conference on Location Based Services , Munich, Germany, 12/09/2022. https://doi.org/10.1080/17489725.2023.2238658

Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen. / Kveladze, Irma ; Georgati, Marina ; Keßler, Carsten et al.
Location Based Services. Vol. 17 Taylor & Francis, 2023. p. 426-446 (Journal of Location Based Services; No. 4, Vol. 17).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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 - 2023/12

Y1 - 2023/12

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

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U2 - 10.1080/17489725.2023.2238658

DO - 10.1080/17489725.2023.2238658

M3 - Article in proceeding

VL - 17

T3 - Journal of Location Based Services

SP - 426

EP - 446

BT - Location Based Services

PB - Taylor & Francis

Y2 - 12 September 2022 through 14 September 2022

ER -

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

Abstract

Conference

Keywords

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AUB Link

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FUME: Future Migration Scenarios for Europe

Cite this

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

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

FUME: Future Migration Scenarios for Europe

Cite this