KJCKorea
Journal Central

One of the areas of interest that Russian Empire had in Korea was its value as a stable source of food especially beef, as seen in Garin’s travel journal and KOPEИ. Russia named about 200 marine and coastal features of the East Sea via exploration. Most of place names have disappeared, but some remain as marine names near Primorsky state, so toponym users can find those names such as Bukhta Reid Pallada and Zaliv Posiet (Posiet Bay) through Google Earth service. The survey of inland areas seemed to be as an important part as the survey of coastal areas. It is believed that the KOPEИ expresses the direction of the Russian government's interest in Korea. Besides the contents of history, language, administration, and political systems, the contents of the KOPEИ will be sufficiently important enough for geographical research on Korean physical geography, Korea territory, as well as economy and trade until the 19th century.

Contact with the patient is an important transmission route for the transmission of infectious diseases, so an individual level information of activity can be used as an important index to determine risks of infection. The purpose of this study is to propose a method to understand the migration characteristics of COVID-19(Coronavirus Disease 2019) patients by using personal movement. To this end, a geovisualization prototype environment has been developed with the concept of time geography in order to analyze data on the movement route of corona patients in Seoul. In the geovisualization prototype, a three-dimensional path is used to visualize the visited places of COVID-19 patients by time period. In addition, visit time and stay time by place of visit are expressed in a cylinder reflecting the concept of the station so that it is possible to determine whether or not the visiting places are overlapped by the patients. The visualization method proposed in this study has the following advantages. First, it is possible to analyze the spatiotemporal movement characteristics by simultaneously visualizing the spatiotemporal ranges and characteristics of the movement of COVID-19 patients. Second, it is possible to identify the shared location of the infected patients through visualization of the station along the path of their movement.

The expressways in South Korea has been used since 50 years ago. However, there was no research has been conducted on the expressway’s own major facilities. So, writer analyzed the distribution and name characteristics of the service area (SA) after the same research of the expressway junction. The analysis results of 231 SAs’ distibution are as follows. Both simple total number of SAs for each route and the number of SAs per unit distance were high for the main trunk lines. By region, the number of SAs was higher in provincial areas than in metropolitan areas and nearby areas, and it showed a characteristic of scattering unlike junctions. The number of SAs per area is high along the Gyeongbu axis, and the number of SAs per population is high in the provincial areas. The analysis results of 136 SAs’ name are as follows. In word type analysis, ‘Sino-Korea’ word was 89.7%. In syllable analysis, mean number of syllable was 2.75 and syllable of SA names has exponential distribution. In name source analysis, SA name related to administrative district name was outstanding with 66.9% and combined name of SA was followed by 19.1%. Many of recently established or changed names of SAs are combined names, so it is important to minimize discomfort for users.