A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015
<b>Background</b>: Ternary plots can effectively display compositional data and help to understand its multidimensional patterns. However, they are currently greatly underused in demography. <b>Objective</b>: My goal is to develop an interactive web-based visualization of...
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| Format: | Article |
| Language: | English |
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Max Planck Institute for Demographic Research
2020-04-01
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| Series: | Demographic Research |
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| Online Access: | https://www.demographic-research.org/volumes/vol42/27/ |
| _version_ | 1818243524349394944 |
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| author | Beata Nowok |
| author_facet | Beata Nowok |
| author_sort | Beata Nowok |
| collection | DOAJ |
| description | <b>Background</b>: Ternary plots can effectively display compositional data and help to understand its multidimensional patterns. However, they are currently greatly underused in demography. <b>Objective</b>: My goal is to develop an interactive web-based visualization of compositional data on international migration flows in order to compare its developments over time and across countries, and through this example demonstrate the utility of ternary diagrams. <b>Methods</b>: R Shiny framework is used to build a web application. Immigration and emigration flows in the EU Member States from 1998 to 2015 are grouped into three conventional categories (nationals of a reporting country, [other] EU nationals, and non-EU nationals) and presented on ternary diagrams. <b>Results</b>: Compositional data on migration flows can be effectively visualized using ternary plots. An interactive web application has been developed that allows comparative exploratory analysis of immigration and emigration composition and size in the EU countries over time. The impact of the entry of new countries to the EU can be assessed by comparing data referring to the EU composition of 28 Member States with data referring to the EU composition of the reference period. <b>Conclusions</b>: Ternary plots can facilitate compositional analysis of migration flows grouped into three categories. <b>Contribution</b>: I introduce ternary plots for an exploratory analysis of migration composition and provide an online tool to carry out illustrative exploration. Demographic analysis of compositional data can benefit from the wider use of such plots. |
| first_indexed | 2024-12-12T14:02:30Z |
| format | Article |
| id | doaj.art-cf24674ce73b4a139304462fc5b2f821 |
| institution | Directory Open Access Journal |
| issn | 1435-9871 |
| language | English |
| last_indexed | 2024-12-12T14:02:30Z |
| publishDate | 2020-04-01 |
| publisher | Max Planck Institute for Demographic Research |
| record_format | Article |
| series | Demographic Research |
| spelling | doaj.art-cf24674ce73b4a139304462fc5b2f8212022-12-22T00:22:19ZengMax Planck Institute for Demographic ResearchDemographic Research1435-98712020-04-01422710.4054/DemRes.2020.42.274444A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015Beata Nowok0University of Edinburgh<b>Background</b>: Ternary plots can effectively display compositional data and help to understand its multidimensional patterns. However, they are currently greatly underused in demography. <b>Objective</b>: My goal is to develop an interactive web-based visualization of compositional data on international migration flows in order to compare its developments over time and across countries, and through this example demonstrate the utility of ternary diagrams. <b>Methods</b>: R Shiny framework is used to build a web application. Immigration and emigration flows in the EU Member States from 1998 to 2015 are grouped into three conventional categories (nationals of a reporting country, [other] EU nationals, and non-EU nationals) and presented on ternary diagrams. <b>Results</b>: Compositional data on migration flows can be effectively visualized using ternary plots. An interactive web application has been developed that allows comparative exploratory analysis of immigration and emigration composition and size in the EU countries over time. The impact of the entry of new countries to the EU can be assessed by comparing data referring to the EU composition of 28 Member States with data referring to the EU composition of the reference period. <b>Conclusions</b>: Ternary plots can facilitate compositional analysis of migration flows grouped into three categories. <b>Contribution</b>: I introduce ternary plots for an exploratory analysis of migration composition and provide an online tool to carry out illustrative exploration. Demographic analysis of compositional data can benefit from the wider use of such plots.https://www.demographic-research.org/volumes/vol42/27/citizenshipcompositional datadata visualizationeuropean unioninternational migrationshiny applicationternary plots |
| spellingShingle | Beata Nowok A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 Demographic Research citizenship compositional data data visualization european union international migration shiny application ternary plots |
| title | A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 |
| title_full | A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 |
| title_fullStr | A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 |
| title_full_unstemmed | A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 |
| title_short | A visual tool to explore the composition of international migration flows in the EU countries, 1998-2015 |
| title_sort | visual tool to explore the composition of international migration flows in the eu countries 1998 2015 |
| topic | citizenship compositional data data visualization european union international migration shiny application ternary plots |
| url | https://www.demographic-research.org/volumes/vol42/27/ |
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