Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi

Data visualization is an integral part of scientific inquiry in order to represent data and communicate findings. Recent developments such as the rise of large-scale corpora show that techniques to relate linguistically informed analysis and spatial data visualization have become increasingly import...

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Published in:Eesti Rakenduslingvistika Ühingu aastaraamat Estonian Papers in Applied Linguistics
Main Authors: Kristel Uiboaed, Aki-Juhani Kyröläinen
Format: Article in Journal/Newspaper
Language:English
Estonian
Published: Eesti Rakenduslingvistika Ühing (Estonian Association for Applied Linguistics) 2015
Subjects:
Online Access:https://doi.org/10.5128/ERYa11.17
https://doaj.org/article/c6f1e3552ccc41bfab981f58dcc7b3ca
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author Kristel Uiboaed
Aki-Juhani Kyröläinen
author_facet Kristel Uiboaed
Aki-Juhani Kyröläinen
author_sort Kristel Uiboaed
collection Directory of Open Access Journals: DOAJ Articles
container_start_page 281
container_title Eesti Rakenduslingvistika Ühingu aastaraamat Estonian Papers in Applied Linguistics
container_volume 11
description Data visualization is an integral part of scientific inquiry in order to represent data and communicate findings. Recent developments such as the rise of large-scale corpora show that techniques to relate linguistically informed analysis and spatial data visualization have become increasingly important for quantitative analysis. Although spatial data visualization has gained momentum, these techniques may not be readily available for small or understudied languages. Here, we give an introduction to spatial data visualization using publicly available resources. We use case studies on Estonian and Votic data to illustrate certain basic tasks in quantitative dialectology. We give solutions to create spatial maps based on either self-extracted coordinates or Google Maps. These maps can be used as a base layer and additional information, such as metadata and frequency distributions, can be represented on top of them. This approach can also be applied to statistical analysis. We illustrate this by carrying out a cluster analysis and its visualization using Google Maps. Thus, a toolkit is provided for quantitative analysis and spatial visualization in dialectology.
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language English
Estonian
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op_doi https://doi.org/10.5128/ERYa11.17
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https://doaj.org/toc/2228-0677
doi:10.5128/ERYa11.17
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https://doaj.org/article/c6f1e3552ccc41bfab981f58dcc7b3ca
op_source Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 11, Pp 281-295 (2015)
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spelling ftdoajarticles:oai:doaj.org/article:c6f1e3552ccc41bfab981f58dcc7b3ca 2025-01-17T01:16:12+00:00 Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi Kristel Uiboaed Aki-Juhani Kyröläinen 2015-04-01T00:00:00Z https://doi.org/10.5128/ERYa11.17 https://doaj.org/article/c6f1e3552ccc41bfab981f58dcc7b3ca EN ET eng est Eesti Rakenduslingvistika Ühing (Estonian Association for Applied Linguistics) http://dx.doi.org/10.5128/ERYa11.17 https://doaj.org/toc/1736-2563 https://doaj.org/toc/2228-0677 doi:10.5128/ERYa11.17 1736-2563 2228-0677 https://doaj.org/article/c6f1e3552ccc41bfab981f58dcc7b3ca Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 11, Pp 281-295 (2015) dialectology dialect syntax geolinguistics corpus linguistics Estonian Philology. Linguistics P1-1091 Finnic. Baltic-Finnic PH91-98.5 article 2015 ftdoajarticles https://doi.org/10.5128/ERYa11.17 2022-12-31T01:35:33Z Data visualization is an integral part of scientific inquiry in order to represent data and communicate findings. Recent developments such as the rise of large-scale corpora show that techniques to relate linguistically informed analysis and spatial data visualization have become increasingly important for quantitative analysis. Although spatial data visualization has gained momentum, these techniques may not be readily available for small or understudied languages. Here, we give an introduction to spatial data visualization using publicly available resources. We use case studies on Estonian and Votic data to illustrate certain basic tasks in quantitative dialectology. We give solutions to create spatial maps based on either self-extracted coordinates or Google Maps. These maps can be used as a base layer and additional information, such as metadata and frequency distributions, can be represented on top of them. This approach can also be applied to statistical analysis. We illustrate this by carrying out a cluster analysis and its visualization using Google Maps. Thus, a toolkit is provided for quantitative analysis and spatial visualization in dialectology. Article in Journal/Newspaper votic Directory of Open Access Journals: DOAJ Articles Eesti Rakenduslingvistika Ühingu aastaraamat Estonian Papers in Applied Linguistics 11 281
spellingShingle dialectology
dialect syntax
geolinguistics
corpus linguistics
Estonian
Philology. Linguistics
P1-1091
Finnic. Baltic-Finnic
PH91-98.5
Kristel Uiboaed
Aki-Juhani Kyröläinen
Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title_full Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title_fullStr Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title_full_unstemmed Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title_short Keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
title_sort keeleteaduslike andmete ruumilisi visualiseerimisvõimalusi
topic dialectology
dialect syntax
geolinguistics
corpus linguistics
Estonian
Philology. Linguistics
P1-1091
Finnic. Baltic-Finnic
PH91-98.5
topic_facet dialectology
dialect syntax
geolinguistics
corpus linguistics
Estonian
Philology. Linguistics
P1-1091
Finnic. Baltic-Finnic
PH91-98.5
url https://doi.org/10.5128/ERYa11.17
https://doaj.org/article/c6f1e3552ccc41bfab981f58dcc7b3ca