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The possibilities of visual spatial data analysis methods on human migration data.

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Virantaus, Kirsi Kanerva
dc.contributor.author Adewumi, Oluwaseun
dc.date.accessioned 2020-01-26T18:06:48Z
dc.date.available 2020-01-26T18:06:48Z
dc.date.issued 2020-01-20
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/42734
dc.description.abstract The theme of this Master’s thesis is to research the possible methods for visual analysis of human migration. Precedents of analysis methods are considered as viable techniques that would successfully achieve a rewarding result if conducted on Finland´s migration database. Human migration phenomenon can be analyzed with the visualization of spatial data. Spatial data visualization components such as spatial data, maps and methods are discussed with focus on human migration. Human migration data are a type of spatial data that are georeferenced so as to give a context in relation to a location in real world. Maps are geographical presentation interfaces used for visual analysis of migration data. Special purpose and thematic maps or the combination of both are deemed suitable for this task as they are able to portray the information desired. Spatial data visualization techniques such as flow lines, flowstrates, map animation and space time cube are researched as tools for fully analyzing migration data. Flowstrates is a specialized visualization method that analyses the spatial and temporal dimensions of migration data by utilizing a combination technique of flow lines, timelines, and origin-destination matrices for the visualization of migration data. With this novel method, detailed information can be visualized on individual migration flow/route. The result of this thesis are the examples of the most fitting visual analysis methods for migration data. These examples serve as the possible methods for analyzing actual migration data in Finland. en
dc.format.extent 45
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title The possibilities of visual spatial data analysis methods on human migration data. en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Insinööritieteiden korkeakoulu fi
dc.subject.keyword geospatial en
dc.subject.keyword migration en
dc.subject.keyword origin-destination en
dc.subject.keyword visualization en
dc.subject.keyword flowstrates en
dc.subject.keyword method en
dc.identifier.urn URN:NBN:fi:aalto-202001261844
dc.programme.major fi
dc.programme.mcode fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Virrantaus, Kirsi Kanerva
dc.programme Master's Programme in Geoinformatics (GIS) fi
local.aalto.electroniconly yes
local.aalto.openaccess yes

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