Linked micromaps for the visualization of geographically referenced data

Kyung Soo Han; Se Jin Park; Gil Seong Mun; Sook Hee Choi; Jürgen Symanzik; Samson Gebreab; Jeong Yong Ahn

Linked micromaps for the visualization of geographically referenced data

Kyung Soo Han
, Se Jin Park
, Gil Seong Mun
, Sook Hee Choi
, Jürgen Symanzik
, Samson Gebreab
, Jeong Yong Ahn

Department of Statistics

Research output: Contribution to journal › Journal article › peer-review

5 Scopus citations

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 study, we introduce the micromap and linked micromap. First, we introduce the method to construct micromap using the map of South Korea. Second, we develop some R modules to visualize statistical information of geographically referenced data using the linked micromap plots. Lastly, we present some examples of linked micromap plots and discuss the applicability of them.

Original language	English
Pages (from-to)	443-448
Number of pages	6
Journal	ICIC Express Letters
Volume	8
Issue number	2
State	Published - 2014

Keywords

Data visualization
Linked micromaps
Statistical maps

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems

Cite this

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title = "Linked micromaps for the visualization of geographically referenced data",

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 study, we introduce the micromap and linked micromap. First, we introduce the method to construct micromap using the map of South Korea. Second, we develop some R modules to visualize statistical information of geographically referenced data using the linked micromap plots. Lastly, we present some examples of linked micromap plots and discuss the applicability of them.",

keywords = "Data visualization, Linked micromaps, Statistical maps",

author = "Han, \{Kyung Soo\} and Park, \{Se Jin\} and Mun, \{Gil Seong\} and Choi, \{Sook Hee\} and J{\"u}rgen Symanzik and Samson Gebreab and Ahn, \{Jeong Yong\}",

year = "2014",

language = "English",

volume = "8",

pages = "443--448",

journal = "ICIC Express Letters",

issn = "1881-803X",

number = "2",

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TY - JOUR

T1 - Linked micromaps for the visualization of geographically referenced data

AU - Han, Kyung Soo

AU - Park, Se Jin

AU - Mun, Gil Seong

AU - Choi, Sook Hee

AU - Symanzik, Jürgen

AU - Gebreab, Samson

AU - Ahn, Jeong Yong

PY - 2014

Y1 - 2014

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 study, we introduce the micromap and linked micromap. First, we introduce the method to construct micromap using the map of South Korea. Second, we develop some R modules to visualize statistical information of geographically referenced data using the linked micromap plots. Lastly, we present some examples of linked micromap plots and discuss the applicability of them.

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 study, we introduce the micromap and linked micromap. First, we introduce the method to construct micromap using the map of South Korea. Second, we develop some R modules to visualize statistical information of geographically referenced data using the linked micromap plots. Lastly, we present some examples of linked micromap plots and discuss the applicability of them.

KW - Data visualization

KW - Linked micromaps

KW - Statistical maps

UR - https://www.scopus.com/pages/publications/84890317475

M3 - Journal article

AN - SCOPUS:84890317475

SN - 1881-803X

VL - 8

SP - 443

EP - 448

JO - ICIC Express Letters

JF - ICIC Express Letters

IS - 2

ER -

Linked micromaps for the visualization of geographically referenced data

Abstract

Keywords

Quacquarelli Symonds(QS) Subject Topics

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