• Korean Journal of Remote Sensing
• /
• v.36 no.3
• /
• pp.475-486
• /
• 2020

Climate change scenarios are the basis of research to cope with climate change, and consist of large-scale spatio-temporal data. From the data point of view, one scenario has a large capacity of about 83 gigabytes or more, and the data format is semi-structured, making it difficult to utilize the data through means such as search, extraction, archiving and analysis. In this study, a tool for analyzing extreme climate events based on spatial information is developed to improve the usability of large-scale, multi-period climate change scenarios. In addition, a pilot analysis is conducted on the time and space in which the heavy rain thresholds that occurred in the past can occur in the future, by applying the developed tool to the RCP8.5 climate change scenario. As a result, the days with a cumulative rainfall of more than 587.6 mm over three days would account for about 76 days in the 2080s, and localized heavy rains would occur. The developed analysis tool was designed to facilitate the entire process from the initial setting through to deriving analysis results on a single platform, and enabled the results of the analysis to be implemented in various formats without using specific commercial software: web document format (HTML), image (PNG), climate change scenario (ESR), statistics (XLS). Therefore, the utilization of this analysis tool is considered to be useful for determining future prospects for climate change or vulnerability assessment, etc., and it is expected to be used to develop an analysis tool for climate change scenarios based on climate change reports to be presented in the future.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 1994.02a
• /
• pp.213-222
• /
• 1994

• 한국공간정보시스템학회:학술대회논문집
• /
• 2001.11a
• /
• pp.93-95
• /
• 2001

• Proceeding of KASS Symposium
• /
• 2008.05a
• /
• pp.53-58
• /
• 2008

• Journal of the Korean Geographical Society
• /
• v.32
• /
• pp.58-73
• /
• 1985

• 한국지형공간정보학회:학술대회논문집
• /
• 2002.11a
• /
• pp.1-40
• /
• 2002

• Journal of the Korean Geographical Society
• /
• v.37
• /
• pp.33-47
• /
• 1988

• Journal of Korean Society for Atmospheric Environment
• /
• v.28 no.3
• /
• pp.249-260
• /
• 2012

Monitoring of climate change and atmospheric environment by satellite measurements has been increased in recent years. In this study, nitrogen dioxide ($NO_2$) measurements from Ozone Monitoring Instrument (OMI) were compared with surface measurements over the Korean peninsula. $NO_2$ from OMI measurements showed high values and also showed seasonal variations such as high concentration in winter and low in summer over metropolitan areas while $NO_2$ concentration at national background station was low and did not clearly show seasonal variations. Surface measurements showed similar temporal and spatial variations to those of satellite measurement. The comparison between satellite measurements and surface measurements showed that the correlation between them was higher in urban area (r=0.64 at Seoul and r=0.63 at Daegu) than in national background stations (r=0.37 at Jeju) because the concentration in urban area was relatively high so that the variation of $NO_2$ concentration could be detected better than at national background stations by satellite. Satellite can effectively measure the emission and transport of pollutants with no limitations in spatial coverage.

• Korean Institute of Interior Design Journal
• /
• v.20 no.2
• /
• pp.10-19
• /
• 2011

This study is to predict the possibilities of phenomenological spatial design, by recognizing that a phenomenological spatial design brings about a change in the type, regime, role and materials of a spatiality due to the effect of contemporary digital technology and by analyzing their characteristics. Therefore, the study is based on the phenomenology of perception of Morris Merleau Ponty, which has the same concept to contemporary out-of-material and out-of-hierarchical paradigm. The case study has been carried out by selecting some of all works since 1980s, which were influenced by Merleau-Ponty. The analyses were performed by substituting the cases into the spatiality of Situation, spatiality of participation and creation, spatiality of retrospect and prospect, and the spatiality of unpredictability, which were the concept of phenomenological space of Merleau-Ponty for the analyses of features of type, regime, role and material of a spatial design. This article has a great significance in expecting the possibilities of changes of phenomenological spatial design by examining the characteristics of phenomenological spatial design.

• Journal of Distribution Science
• /
• v.16 no.7
• /
• pp.47-56
• /
• 2018

Purpose - This study aims to not only investigate spatial pattern of immigrants' residence and crime occurrences in South Korea, but shed light on how geographic distribution of immigrants and immigrant segregation affect crime rates. Research design, data, and methodology - Th unit of analysis is Si-Gun-Gu municipal level entities of South Korea. The crime data was obtained by Korea National Police Agency and two major types(violence and property) of crime were measured. Most demographic, social, and economic variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of immigrants' distribution and crime rates in South Korea, the present study utilized GIS mapping technique and Exploratory Spatial Data Analysis(ESDA) tools. The causal linkage was investigated by a series of regression models using STATA. Results - Spatial inequality between urban metropolitan vs rural areas was visualized by mapping. Assuming large Moran's I value, spatial autocorrelation appeared to be quite strong. Several neighborhood characteristics such as residential stability and economic prosperity were found to be important factors leading to crime rate change. Residential distribution and segregation for immigrants were negatively significant in the regression models. Conclusions - Unlike the traditional arguments of social disorganization theory, immigrant segregation appeared to reduce violent crime rate and the high proportion of immigrants also turned out to be a crime prevention factor.