A Study on the Expression for Geospatial Data Visualization based on Disease Data

Abstract

The aim of this study is to examine the representation method of geospatial data visualization based on disease data from a design perspective In order to explore the geospatial data visualization type, 1) to investigate the appearance process and expression types of geospatial data visualization, 2) to collect and analyze 8 domestic and international websites related about Coronavirus disease, and 3) to propose a method to express disease data visualization As a result, geospatial data visualization is defined as the medium presented on the map by converting quantitative and qualitative data relationships and patterns obtained from space into visual data The goal of visualizing disease data is to prevent the spread of disease by recognizing the 'state of spread of disease and the trend and change' As a result of analyzing the domestic and foreign cases, data visualization in domestic regards the route of confirmed patients as important, while most of international data visualization for disease data have compared the domestic and foreign situation and supplemented quantitative data expression using charts other than maps Since data visualization of disease and health has humanistic values, it is necessary to study specific user experience design guidelines for visualization of disease data