• Journal of the Korean association of regional geographers
• /
• v.4 no.1
• /
• pp.27-41
• /
• 1998

The communication model has been accepted as the basic research paradigm of cartography since Board(1967) discussed the map/model analogy. In that paradigm, the function of maps was limited to the media of communication, and the functionality of maps was extremely emphasized. Therefore the model could not play its own role under the new environments such as computer, GIS, scientific visualization. Nowadays, the model has been attacked on several grounds and several alternatives have been suggested. Among the objections raised are (1) geographic visualization in which maps are considered as the tool of scientific visualization, (2) the contributions of art which are ignored in the positivist cartographic research, and (3) deconstructionist arguments which deny the scientific epistemology of map as an objective form of knowledge and recognize the textuality of maps including their metaphorical and rhetorical nature. Since a publication by McCormick et al, the scientific visualization based on the powerful computer graphics is used in a wide context. Maps are treated as the tools of scientific visualization and emphasis is on exploration of the geographic data to gain understanding and insight in the geographic visualization processes. The research on geographic visualization have stayed in the early stage of developing the conceptual model and the basic visualization tools. But, it is expected that the geographic or visual thinking which is emphasized in the geographic visualization will contribute the reestablishment of links between cartography and geography. Also, the development of scientific visualization tools and strategies will offer the opportunities to suggest a fresh idea, to synthesize information and develop holistic approaches to geographical problems.

• Spatial Information Research
• /
• v.14 no.4 s.39
• /
• pp.391-401
• /
• 2006

We propose a method for geographically enhanced representation of social networks and implement a Web-based 3D visualization of geographical contexts in social networks. A renovated social network graph is illustrated by using two key components: (i) GWCMs (geographically weighted centrality measures) that reflect the differences in interaction intensity and spatial proximity among nodes and (ii) MSNG (map-integrated social network graph) that incorporates the GWCMs and the geographically referenced arrangement of nodes on a choroplethic map. For the integrated 3D visualization of the renovated social network graph, we employ X3D (Extensible 3D), a standard 3D authoring tool for the Web. An experimental case study of regional R&D collaboration provides a visual clue to geographical contexts in social networks including how the social centralization relates to spatial centralization.

• Journal of the Korean Geographical Society
• /
• v.40 no.3 s.108
• /
• pp.310-320
• /
• 2005

This study attempts at prototyping and evaluating a geovisualization tool that summarizes and explores human activity patterns using spatio-temporal trajectory data collected from GPS receiver. A set of core conceptualization developed in 'time geography' is successfully represented by our prototype based on the notion of 'space-time cube.' The notions of 'temporal dispersion cylinder' and 'parallel plane plot' are also implemented to allow funker analyses of human activity pattern on the space-time trajectory. The capabilities of the geovisualization environment we proposed include the interactive and dynamic functions that support a variety of explorations on the three components of spatio-temporal data : space(where), time(when), and object(what).

• Proceedings of the KGS Conference
• /
• 2006.06a
• /
• pp.136-137
• /
• 2006

• The Korean Journal of Applied Statistics
• /
• v.21 no.5
• /
• pp.845-854
• /
• 2008

Survey reports of election opinions consist of numerous cross-tabulations between socio-demographic variables and political opinions including preferred candidates. Since socio-demographic variables are related each other, duplicate interpretations arise. The aim of this study is twofold: The first is to separate the effects of socio variables such as education, occupation and income from the effects of demographic variables such as region, sex and age. The second is the visualization of multiple cross-tabulations in low-dimensional space by extended doubling technique of correspondence analysis. Survey researchers may get some help from this study to present their survey results more lucidly and visually.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.55-57
• /
• 2020

본 연구는 문화유산 데이터의 효과적 정보 시각화 방안을 탐색한다. 문화유산 데이터는 역사적 사회적 맥락 속에서 충실히 이해될 수 있기에, 지리적 평면과 시간 축으로 이루어지는 3차원 시공간 큐브상에 문화유산 데이터들을 배치하는 것은 문화유산의 특성을 반영하면서도 통시적·공시적 조망을 동시에 제공하는 유익한 시각화 방안이 될 수 있다. 이를 확인하기 위해 문화유산 컬렉션 데이터를 지도 평면과 시간 축으로 구성된 시공간 큐브 상에서 탐색·체험할 수 있는 웹 어플리케이션과 AR 어플리케이션을 구현하고, 이에 대한 사용자 평가를 실시했다. 평가 분석 결과 문화유산 데이터의 3차원 시각화는 데이터에 대한 총체적 시야를 제공하고 새로운 체험에 대한 관심과 호기심을 유발하는 한편, 낯선 형식으로 인한 인지적 피로가 뒤따를 수 있어 대상 데이터의 특성, 매체 형식의 특성, 사용자의 경험적 이해, 인간의 지각방식을 고려한 다각적 정보 체험 설계가 필요할 것으로 파악되었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.105-106
• /
• 2022

한국은 지리적 특성상 매해 태풍과 호우에 의한 침수 피해를 보고 있다. 또한 기후변화와 도시화 등으로 인하여 피해가 대형화되는 추세이다. 본 논문에서는 자연재해 중 침수피해를 최소화하는 대안으로 공공데이터를 활용하여 관련 정보를 시각화한 프로토타입의 앱을 설계 및 구현한다. 구현한 앱을 통하여 침수 피해를 미리 대비하고 침수 시 피해를 줄이는 효과를 기대할 수 있다.

• Journal of the Korean Geographical Society
• /
• v.47 no.2
• /
• pp.268-281
• /
• 2012

In spite of the usefulness of migration statistics in spatially understanding social processes and identifying social effects of spatial processes, services and analyses of the statistics have been restricted due to the complexity of their data structure. In addition, flow mapping functionality which is a useful method to explore and visualize the migration statistics has yet to be fully represented in modern GIS applications. Given this, the purpose of this research is to demonstrate the possibility of flow mapping and the exploratory spatial analysis of the migration statistics in a Web GIS environment. For this, the characteristics of the statistics were examined from database, GIS, and cartographic perspectives. Then, O-D structure of the migration statistics was converted to spatial data appropriate to f low mapping based on the characteristics. The interface of Web GIS is specialized the migration statistics and provides exploratory visualization by allowing dynamic interactions such as spatial focusing and attribute filtering.

• Spatial Information Research
• /
• v.18 no.4
• /
• pp.141-149
• /
• 2010

One of recent trends in Web-based GIS is the system development using FOSS (Free and Open Source Software). Open Source software is independent from the technologies of commercial software and can increase the reusability and extensibility of existing systems. In this study, we developed a Web-based GIS for interactive visualization of geographic information using Google Earth and spatial DBMS(database management system). Google Earth Plug-in and Google Earth API(application programming interface) were used to embed a geo-browser in the Web browser. In order to integrate the Google Earth with a spatial DBMS, we implemented a KML(Keyhole Markup Language) generator for transmitting server-side data according to user's query and converting the data to a variety of KML for geovisualization on the Web. Our prototype system was tested using time-series of LAI(leaf area index), forest map, and crop yield statistics. The demonstration included the geovisualization of raster and vector data in the form of an animated map and a 3-D choropleth map. We anticipate our KML generator and system framework will be extended to a more comprehensive geospatial analysis system on the Web.

• Spatial Information Research
• /
• v.15 no.3
• /
• pp.311-322
• /
• 2007

Geovisual analytics is the new research area that looks fur the way to enable a truly synergetic work of human and visualization tool in analyzing spatio-temporal data. The research challenge for geovisual analytics is developing new geovisualization tools and enhancing human capabilities to analyse, envision, and reason a lot of spatio-temporal changes. With this research area, geovisual analytics is expected to be a new methodology for developing spatial decision support tools. This research is to integrate T scatter plot with computational method to classify the several patterns of the regional fright generation in Korea. The result of this work shows the capabilities provided by geovisual analytics to support spatial decision making.