• Journal of KIISE
• /
• v.44 no.1
• /
• pp.71-77
• /
• 2017

There has been a recent spate in the usage of mobile device equipped GPS sensors, such as smart phones. This trend enables the posting of geo-tagged messages (i.e., multimedia messages with GPS locations) on social media such as Twitter and Facebook, and the volume of such spatial data is rapidly growing. However, the relationships between the location and content of messages are not always explicitly shown in such geo-tagged messages. Thus, the need arises to reorganize search results to find the relationship between keywords and the spatial distribution of messages. We find the smallest minimum bounding rectangle (MBR) that embedding k or more points in order to find the most dense rectangle of data, and it can be usefully used in the location search system. In this paper, we suggest efficient algorithms to discover a group of 2-Dimensional spatial data with a close distance, such as MBR. The efficiency of our proposed algorithms with synthetic and real data sets is confirmed experimentally.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.sup3
• /
• pp.27-32
• /
• 2016

Stomach cancer, the fourth most common cancer and the second leading cause of cancer-related death through the world, is very common in parts of Iran. Geographic variation in the incidence of stomach cancer is due to many different factors. The aim of this study was to assess the geographical and spatial distribution of stomach cancer in Iran using data from the cancer registry program in Iran for the year 2009. The reported incidences of stomach cancer for different provinces were standardized to the world population structure. ArcGIS software was used to analyse the data. Hot spots and high risk areas were determined using spatial analysis (Getis-Ord Gi). Hot and cold spots were determined as more than or less than 2 standard deviations from the national average, respectively. A significance level of 0.10 was used for statistical judgment. In 2009, a total of 6,886 cases of stomach cancers were reported of which 4,891 were in men and 1,995 in women (standardized incidence rates of 19.2 and 10.0, respectively, per 100,000 population). The results showed that stomach cancer was concentrated mainly in northwest of the country in both men and women. In women, northwest provinces such as Ardebil, East Azerbaijan, West Azerbaijan, Gilan, and Qazvin were identified as hot spots (p<0.1). In men, all northwest provinces, Ardabil, East Azerbaijan, Gilan, Qazvin, Zanjan and Kurdistan, the incidences were higher than the national average and these were identified as hot spots (P<0.01). As stomach cancer is clustered in the northwest of the country, further epidemiological studies are needed to identify factors contributing to this concentration.

• Journal of the Korean association of regional geographers
• /
• v.12 no.5
• /
• pp.614-630
• /
• 2006

Improved estimates of populations at risk for quick and effective response to natural and man-made disasters require spatial disaggregation of zonal population data because of the spatial mismatch problem in areal units between census and impact zones. This paper implements a dasymetric surface model to facilitate spatial disaggregation of the population of a census block group into populations associated with each constituent pixel and evaluates the performance of the surface-based spatial disaggregation model visually and statistically. The surface-based spatial disaggregation model employed geographic information systems (GIS) to enable dasymetric interpolation to be guided by satellite-derived land use and land cover data as additional information about the geographic distributor of population. In the spatial disaggregation, percent cover based empirical sampling and areal weighting techniques were used to objectively determine dasymetric weights for each grid cell. The dasymetric population surface for the Atlanta metropolitan area was generated by the surface-based spatial disaggregation model. The accuracy of the dasymetric population surface was tested on census counts using the root mean square error (RMSE) and an adjusted RMSE. The errors related to each census track and block group were also visualized by percent error maps. Results indicate that the dasymetric population surface provides high-precision estimates of populations as well as the detailed spatial distribution of population within census block groups. The results also demonstrate that the population surface largely tends to overestimate or underestimate population for both the rural and forested and the urban core areas.

• Journal of the Korean housing association
• /
• v.27 no.1
• /
• pp.1-11
• /
• 2016

Based on residents' survey data in Seoul, this study attempts to empirically answer to four research questions regarding neighborhood relations (NR) which are necessary for community building: How important NR is compared to other social relations, what factors establish NR, how large NR's geographical extent is, and what are major meeting places among neighbors. A series of statistical analyses demonstrates that characteristics of NR vary greatly by family life cycle. In the stage of couple without child, NR has no significant meaning. NR becomes important from the stage of child care, and it is formed through the medium of children, particularly children's schools in the stage of child of elementary school as well as secondary schools. As the result, NR's geographical boundary extends beyond residential block or multi-family housing (apartment) estate while cafe and restaurant serve as dominant meeting places in these life cycle stages. On the contrary, after children are married and leave home, casual encounters resulted from spatial proximity become an important cause of NR. Likewise neighbors' geographical distribution is relatively concentrated within residential block or apartment estate, while community facilities play a role of meeting places as originally planned and designed.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2003.04a
• /
• pp.517-522
• /
• 2003

Exact estimation of evapotranspiration is important to understand natural phenomena and social issues associated with the climate such as irrigation scheme, reservoir water management, and many other meteorological and climatological problems. To overcome limits of point measurement of evapotranspiration, several models have been developed through the techniques of remote sensing and Geographical Information System. SEBAL model is one of them, based on the energy balance equation, and it has a lot of advantages such as that it requires relatively small empirical relations. In this study, the SEBAL model has been calibrated and validated in Geumgang upper basin, Bochung-stream basin, Korea with 5 satellite images Landsat 5 TM. In validation, the results of SEBAL model were compared with those by Merton method. After validation, the spatial and temporal characteristics of the distribution of evapotranspiration within the basin were analyzed with 3 factors, the aspect of slope, the angle of slope, and the land cover.

• Journal of the Korean housing association
• /
• v.25 no.4
• /
• pp.59-72
• /
• 2014

This study proposes a data-mining analysis method for examining variable multi-attribute big-data, which is considered to be more applicable in social science using a Correspondence Analysis of variables obtained by AIC model selection. The proposed method was applied on the Seoul Survey from 2005 to 2010 in order to extract interesting rules or patterns on characteristics of single household. The results found as follows. Firstly, this paper illustrated that the proposed method is efficiently able to apply on a big dataset of huge categorical multi attributes variables. Secondly, as a result of Seoul Survey analysis, it has been found that the more dissatisfied with residential environment the higher tendency of residential mobility in single household. Thirdly, it turned out that there are three types of single households based on the characteristics of their demographic characteristics, and it was different from recognition of home and partner of counselling by the three types of single households. Fourthly, this paper extracted eight significant variables with a spatial aggregated dataset which are highly correlated to the ratio of occupancy of single household in 25 Seoul Municipals, and to conclude, it investigated the relation between spatial distribution of single households and their demographic statistics based on the six divided groups obtained by Cluster Analysis.

• Korea Journal of Hospital Management
• /
• v.28 no.3
• /
• pp.39-46
• /
• 2023

Purpose: Korean medical services are not balanced across regions and social classes. To prevent mortality gaps, Korea must distribute its medical resources more efficiently. Patient factors affecting emergency room visits serve as basic data for determining best practices for public healthcare distribution. Methods: The data included 18 473 visits by 14 949 de-identified patients who visited a public emergency room over one year. The dependent variable was the number of emergency room visits. A Poisson regression was conducted with the independent variables, comprising sociodemographic, socioeconomic, and spatial accessibility factors and patient characteristics. Results: Older men with higher Korean Triage and Acuity Scale scores visited more frequently. Greater patient-hospital distance decreased visits; however, the presence of a hospital within 1 km of a patient's residence did not affect the number of visits. The use of 119 services was negatively correlated with the number of visits. Visits increased with more medical benefits. Conclusions: Patient age, distance to hospital, use of 119 services, and medical benefits should be considered when planning or managing public hospitals in Korea.

• Journal of the Economic Geographical Society of Korea
• /
• v.23 no.1
• /
• pp.56-70
• /
• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• Korean Institute of Interior Design Journal
• /
• v.26 no.6
• /
• pp.135-144
• /
• 2017

In addition to the well-known 'Frankfurt Kitchen', Austrian female architect Margarette $Sch{\ddot{u}}tte-Lihotzky^{\prime}s$ architectural achievements include a study on the housing for working class, contribution to the resident participation movement, the planning of multi-family housing complexes, rational floor plan design, and the design and study of interior spaces. The purpose of this study is to investigate how she, who played intermediate roles between an architect and a social reformer, reflected social issues and the demands of living on the housing plans in the Red Wien era and to discuss diverse issues of modern residential planning furthermore. In this study, first, the housing situation in Vienna immediately after World War I was grasped and the architectural and housing discourses at that time were examined. Thereafter, cases of $Sch{\ddot{u}}tte-Lihotzky^{\prime}s$ works were investigated and analyzed. In the period of transition to modern times, the concepts of residential planning of $Sch{\ddot{u}}tte-Lihotzky$, who began as a social democratic architect, often showed transitional tendencies in private and public functions of housing, spatial distribution for the daily life, and functions of modern family and home. However, thereafter, the paradigm of the rationalism-functionalism was already sprouting from her architectural and residential plans. In conclusion, it can be said that the works of $Sch{\ddot{u}}tte-Lihotzky$ has realized the social responsibility of residential planning and become a cornerstone of the later modern housing.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.38 no.3
• /
• pp.281-293
• /
• 2020

Recently, large and small fires have been happening more often in Korea. Fire is one of the most frequent disasters along with traffic accidents in korean cities, and this frequency is closely related to the land use and the type of facilities. Therefore, in this study, the significance of fires was analyzed by considering land use, facility types, human and social factors and using 10 years of fire data in Jinju city. Based on this, OLS (Ordinary Least Square) regression analysis, SLM (Spatial Lag Model) and SEM (Spatial Error Model) using space weights, were compared and analyzed considering the location of the fire and each factor, then a statistical model with high suitability was presented. As a result, LISA analysis of spatial distribution patterns of fires in Jinju city was conducted, and it was proved that the frequency of fires was high in the order as follow, central commercial area, industrial area and residential area. Multiple regression analysis was performed by integrating demographic, social, and physical variables. Therefore, the three models were compared and analyzed by applying spatial weighting to the derived factors. As a result of the significance test, the spatial error model was analyzed to be the most significant. The facilities that have the highest correlation with fire occurrence were second type neighborhood facilities, followed by detached house, first type neighborhood facilities, number of households, and sales facilities. The results of this study are expected to be used as significant data to identify factors and manage fire safety in urban areas. Also, through the analysis of the standard deviation ellipsoid, the distribution characteristics of each facility in the residential area, industrial area, and central commercial area among the use areas were analyzed. In, the second type neighborhood facility with the highest fire risk was concentrated in the center. The results of these studies are expected to be used as useful data for identifying factors and managing fire safety in urban areas.