Visualizing health data using linked micromap plots

J. Y. Ahn; S. J. Park

doi:10.2495/CTA140751

Visualizing health data using linked micromap plots

J. Y. Ahn^*
, S. J. Park

^*Corresponding author for this work

Department of Statistics

Jeonbuk National University

Research output: Contribution to conference › Conference paper › peer-review

Abstract

Statistical graphics and techniques for data visualization are critical elements of modern data analysis. One of the most recognized and convenient ways to provide statistical information on geographically referenced data is to apply micromaps. In this article, we describe how spatial patterns of two cancer incidence rates, age-standardized rate and crude rate, and the health indicators can be examined visually and simultaneously using linked micromap plots. To explore the potential for utilization of linked micromap plots, we analyze and visualize the health data including cancer statistics and community health indicators for the period of 2010 of South Korea. As a result of data analysis, the age-standardized rate has negative correlativity with smoking and drinking, and the crude rate is more influenced by socioeconomic factors than health behaviors.

Original language	English
Title of host publication	2014 International Conference on Communication Technology and Application, CTA 2014
Editors	Pascal Lorenz
Publisher	WITPress
Pages	613-620
Number of pages	8
ISBN (Electronic)	9781845649302
DOIs	https://doi.org/10.2495/CTA140751
State	Published - 2014.12.1
Event	2014 International Conference on Communication Technology and Application, CTA 2014 - Beijing, China Duration: 2014.08.19 → 2014.08.20

Publication series

Name	WIT Transactions on Information and Communication Technologies
Volume	60
ISSN (Print)	1743-3517

Conference

Conference	2014 International Conference on Communication Technology and Application, CTA 2014
Country/Territory	China
City	Beijing
Period	14.08.19 → 14.08.20

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Age-standardized rate
Crude rate
Data visualization
Health indicators
Linked micromap plots

Quacquarelli Symonds(QS) Subject Topics

Business & Management Studies
Computer Science & Information Systems

Access to Document

10.2495/CTA140751

Cite this

@inproceedings{00dd54965e944192bc3a71e54fe080b5,

title = "Visualizing health data using linked micromap plots",

abstract = "Statistical graphics and techniques for data visualization are critical elements of modern data analysis. One of the most recognized and convenient ways to provide statistical information on geographically referenced data is to apply micromaps. In this article, we describe how spatial patterns of two cancer incidence rates, age-standardized rate and crude rate, and the health indicators can be examined visually and simultaneously using linked micromap plots. To explore the potential for utilization of linked micromap plots, we analyze and visualize the health data including cancer statistics and community health indicators for the period of 2010 of South Korea. As a result of data analysis, the age-standardized rate has negative correlativity with smoking and drinking, and the crude rate is more influenced by socioeconomic factors than health behaviors.",

keywords = "Age-standardized rate, Crude rate, Data visualization, Health indicators, Linked micromap plots",

author = "Ahn, \{J. Y.\} and Park, \{S. J.\}",

note = "Publisher Copyright: {\textcopyright} 2014 WIT Press.; 2014 International Conference on Communication Technology and Application, CTA 2014 ; Conference date: 19-08-2014 Through 20-08-2014",

year = "2014",

month = dec,

day = "1",

doi = "10.2495/CTA140751",

language = "English",

series = "WIT Transactions on Information and Communication Technologies",

publisher = "WITPress",

pages = "613--620",

editor = "Pascal Lorenz",

booktitle = "2014 International Conference on Communication Technology and Application, CTA 2014",

}

Ahn, JY & Park, SJ 2014, Visualizing health data using linked micromap plots. in P Lorenz (ed.), 2014 International Conference on Communication Technology and Application, CTA 2014. WIT Transactions on Information and Communication Technologies, vol. 60, WITPress, pp. 613-620, 2014 International Conference on Communication Technology and Application, CTA 2014, Beijing, China, 14.08.19. https://doi.org/10.2495/CTA140751

TY - GEN

T1 - Visualizing health data using linked micromap plots

AU - Ahn, J. Y.

AU - Park, S. J.

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Statistical graphics and techniques for data visualization are critical elements of modern data analysis. One of the most recognized and convenient ways to provide statistical information on geographically referenced data is to apply micromaps. In this article, we describe how spatial patterns of two cancer incidence rates, age-standardized rate and crude rate, and the health indicators can be examined visually and simultaneously using linked micromap plots. To explore the potential for utilization of linked micromap plots, we analyze and visualize the health data including cancer statistics and community health indicators for the period of 2010 of South Korea. As a result of data analysis, the age-standardized rate has negative correlativity with smoking and drinking, and the crude rate is more influenced by socioeconomic factors than health behaviors.

AB - Statistical graphics and techniques for data visualization are critical elements of modern data analysis. One of the most recognized and convenient ways to provide statistical information on geographically referenced data is to apply micromaps. In this article, we describe how spatial patterns of two cancer incidence rates, age-standardized rate and crude rate, and the health indicators can be examined visually and simultaneously using linked micromap plots. To explore the potential for utilization of linked micromap plots, we analyze and visualize the health data including cancer statistics and community health indicators for the period of 2010 of South Korea. As a result of data analysis, the age-standardized rate has negative correlativity with smoking and drinking, and the crude rate is more influenced by socioeconomic factors than health behaviors.

KW - Age-standardized rate

KW - Crude rate

KW - Data visualization

KW - Health indicators

KW - Linked micromap plots

UR - https://www.scopus.com/pages/publications/84908617514

U2 - 10.2495/CTA140751

DO - 10.2495/CTA140751

M3 - Conference paper

AN - SCOPUS:84908617514

T3 - WIT Transactions on Information and Communication Technologies

SP - 613

EP - 620

BT - 2014 International Conference on Communication Technology and Application, CTA 2014

A2 - Lorenz, Pascal

PB - WITPress

T2 - 2014 International Conference on Communication Technology and Application, CTA 2014

Y2 - 19 August 2014 through 20 August 2014

ER -

Visualizing health data using linked micromap plots

Abstract

Publication series

Conference

UN SDGs

Keywords

Quacquarelli Symonds(QS) Subject Topics

Access to Document

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Cite this