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 journal › Journal article › Research › peer-review

3 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
Journal	Journal of Location Based Services
Volume	17
Issue number	4
Pages (from-to)	426-446
Number of pages	21
ISSN	1748-9725
DOIs	https://doi.org/10.1080/17489725.2023.2238658
Publication status	Published - 2 Oct 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

Keywords

Human migration
analytics
behaviour patterns
visualisation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/17489725.2023.2238658

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

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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",

pages = "426--446 ",

journal = "Journal of Location Based Services",

issn = "1748-9725",

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number = "4",

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

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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

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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

Conference

Keywords

UN SDGs

Access to Document

AUB Link

Other files and links

Fingerprint

FUME: Future Migration Scenarios for Europe

Cite this

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

Abstract

Conference

Keywords

UN SDGs

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

FUME: Future Migration Scenarios for Europe

Cite this