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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korea Spatial Information Society
Journal Basic Information
Journal DOI :
The Korean Association of Geographic Inforamtion Studies
Editor in Chief :
Volume & Issues
Volume 20, Issue 6 - Dec 2012
Volume 20, Issue 5 - Oct 2012
Volume 20, Issue 4 - Aug 2012
Volume 20, Issue 3 - Jun 2012
Volume 20, Issue 2 - Apr 2012
Volume 20, Issue 1 - Feb 2012
Selecting the target year
Slope Analysis and Classification of Hiking Trails Using GIS
Seo, Eun-Su ; Choi, Se-Hyu ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 1~7
DOI : 10.12672/ksis.2012.20.1.001
Hiking on the mountain is one of the most popular recreations for modern people, but many people have trouble because they select a wrong hiking trails with their own ability and this w ill be just a danger accident. It was suggested that slope analysis of hiking trails using GIS for solving this problem, and the proposed method is faster and easier than the other method. Also the slope of many hiking trails which have same destination was classified by analysing and comparing, then citizen can choose right hiking trails with their own ability.
A Study on Analysis of Landslide Disaster Area using Cellular Automata: An Application to Umyeonsan, Seocho-Gu, Seoul, Korea
Yoon, Dong-Hyeon ; Koh, Jun-Hwan ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 9~18
DOI : 10.12672/ksis.2012.20.1.009
South Korea has many landslides caused by heavy rains during summer time recently and the landslides continue to cause damages in many places. These landslides occur repeatedly each year, and the frequency of landslides is expected to increase in the coming future due to dramatic global climate change. In Korea, 81.5% of the population is living in urban areas and about 1,055 million people are living in Seoul. In 2011, the landslide that occurred in Seocho-dong killed 18 people and about 9% of Seoul's area is under the same land conditions as Seocho-dong. Even the size of landslide occurred in a city is small, but it is more likely to cause a big disaster because of a greater population density in the city. So far, the effort has been made to identify landslide vulnerability and causes, but now, the new dem and arises for the prediction study about the areal extent of disaster area in case of landslides. In this study, the diffusion model of the landslide disaster area was established based on Cellular Automata(CA) to analyze the physical diffusion forms of landslide. This study compared the accuracy with the Seocho-dong landslide case, which occurred in July 2011, applying the SCIDDICA model and the CAESAR model. The SCIDDICA model involves the following variables, such as the movement rules and the topographical obstacles, and the CAESAR model is also applied to this process to simulate the changes of deposition and erosion.
The Effect of Reducing Carbon Emissions, According to the Introduction of U-City System
Jung, Tae-Woong ; Moon, Su-Jung ; Kim, Yoon-Kwan ; Koo, Jee-Hee ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 19~26
DOI : 10.12672/ksis.2012.20.1.019
emissions are recognized as the biggest contribution to climate change, the needs and international efforts for
emissions reduction are increasing. The developed countries are driving strategies to boost green industry as a new growth engine. Following this global trend, based on the ongoing U-City project as a new city model, it is required to analyze the changes of
emissions in U-City to identify its potential for reducing carbon dioxide emissions. This study aims at identifying the potential and effects on
reduction by analyzing the level of
emissions before and after introducing U-City. Bundang-Gu, Seongnam-City & Ilsan-Gu, Goyang-City among Phase I new tow ns were selected as model cities before introducing U-City and Dongtan-Dong, Hwaseong-City as a model city after introducing U-City. The result showed 30% reduction of
emissions in the comparison of tw o models.
A Basic Study on Enhancement of Input data Quality for the CFD Model Using Airborne LiDAR data
Park, Myeong-Ha ; An, Seung-Man ; Choi, Yun-Soo ; Jeong, In-Hun ; Jeon, Byeong-Kuk ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 27~38
DOI : 10.12672/ksis.2012.20.1.027
The recent development of CFD techniques are being involved w ith Environmental Impact Assessment and Environmental DesignroThey are being applied to the Site Planning and Engineering Design works as a new trendroHowever, CFD laboratory works are not extended to the field works in Industrial Project due to inaccuracy of the data input process that is cause by absence of regional height informationsroHence, in this study, we promote to build a new initial input data processing steps and algorithms for CFD Model generation. ENVI-met model is very popular, efficient, and freely downloadable CFD model. Light Detection And Ranging (LiDAR) are well known state of art technology and dataset proving a reliable accuracy for CFD. We use LiDAR data as a input source for CFD input producing process and algorithm development and evaluation. CFD initial input data generation process and results derived from am development and set is very useful and efficient for rapid CFD input data producing and maklomore reliable CFD Model forec st for atmospheric and climatic analysis for planning and design engineering industry.
Analysis of Seismic Response Coefficient by Fundamental Period using Geographic Information System
Seo, Eun-Su ; Choi, Se-Hyu ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 39~45
DOI : 10.12672/ksis.2012.20.1.039
Response of buildings under seismic load is different according to fundamental period. It is provided in Korean Building Code(KBC2009) seismic response coefficient by fundamental period for seismic design of buildings. Recently, many researchers have studied on fundamental period and seismic response coefficient. However, studies on seismic design using Geographic Information System(GIS) are not sufficient. Therefore, this paper has analyzed on seismic response coefficient of buildings using ArcGIS. This paper can be evaluated efficiently for seismic analysis of structures. And this study will be used as basics of a reasonable seismic design using Geographic Information Systems(GIS).
A Fundamental Study on the Maintenance of Administrative Boundaries based on Spatial Information
Yun, Ji-Ye ; Park, Hong-Gi ; Choi, Yun-Soo ; Nam, Dae-Hyun ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 47~57
DOI : 10.12672/ksis.2012.20.1.047
An Administrative Boundary is the basic of spatial information to cover geographical and regional area. Its importance has arisen in our society at the Smart world era. However, it is difficult to serve exact boundary's lines as administrative boundaries are based on the cadastre lines of land register ; these partly are overlay each other or has gaps. So, it Should be adjusted. But, the maintenance work of administration boundaries causes a conflict or confusion unless we offer concrete procedures and detailed plans previously. Therefore, a rational method is required to prevent side-effects such as confusion, disagreem ent and a conflict etc. In this Study, we present a method and 5 step procedures to make better use in a practical maintenance work. we researched on basic studies of Administrative boundary's concept, history. And we performed a field survey as well as analysis of current problems. considering these results, we suggest usage of various spatial data sources, stake-holders' participation, a method of Nearest district's boundaries to maintain administrative boundaries. Throughout the method, we expect it to serve correct boundary-data to various fields without a big confusion. it is also useful to apply its results not only for re-surveying our land but for recording appropriate boundary-data as rational lines.
Design and Implementation of a Spatial Sensor Database System for the USN Environment
Shin, In-Su ; Liu, Lei ; Kim, Joung-Joon ; Chang, Tae-Soo ; Han, Ki-Joon ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 59~69
DOI : 10.12672/ksis.2012.20.1.059
For the USN(Ubiquitous Sensor Network) environment which generally uses spatial sensor data as well as aspatial sensor data, a sensor database system to manage these sensor data is essential. In this reason, some sensor database systems such as TinyDB, Cougar are being developed by many researchers. However, since most of them do not support spatial data types and spatial operators to manage spatial sensor data, they have difficulty in processing spatial sensor data. Therefore, this paper developed a spatial sensor database system by extending TinyDB. Especially, the system supports spatial data types and spatial operators to TinyDB in order to manage spatial sensor data efficiently and provides the memory management function and the filtering function to reduce the system overload caused by sensor data streams. Lastly, we compared the processing time, accuracy, and memory usage of the spatial sensor database system with those of TinyDB and proved its superiority through the performance evaluation.
Study on Geostatistical Method for an Effectiveness Analysis on Carbon Reduction Policy - Focusing on the Carbon Point System
Hwang, Hae-Seong ; Joo, Yong-Jin ; Koh, June-Hwan ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 71~80
DOI : 10.12672/ksis.2012.20.1.071
Carbon Point system is Climate Change Action Program by providing incentives in proportion to voluntary reduction of energy consumption such as electricity, gas and water for houses, commercial facilities. So far, existing researches have been limited to construction of GHG(Green House Gas) Inventory and have little attention to empirical impact analysis on carbon reduction policy regarding the residential section. Therefore, this paper is intended to provide convincing findings of impact analysis on carbon reduction, revolving around the carbon point system. For this, we firstly calculated the carbon emission by using electricity and gas usage data in household targeting to Seongbuk-Gu. Carrying out IPA and spatio-temporal analysis. Then, we are capable of visualizing spatial patterns from 2007 to 2009 as a macro analysis. Following that, we explored the effect on carbon point system through Ex ante-Ex post Analysis by paired t-test. To conclude, we can spatially identify the distribution with a significant difference between carbon emissions according to energy use as a micro analysis by Hot Spot to Analysis on point entities. It is to be hoped that this method will be utilized to establish various policies and to evaluate the effect of reduction of GHG.
A Study on Spatial Statistical Perspective for Analyzing Spatial Phenomena in the Framework of GIS: an Empirical Example using Spatial Scan Statistic for Detecting Spatial Clusters of Breast Cancer Incidents
Lee, Gyoung-Ju ; Kweon, Ihl ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 81~90
DOI : 10.12672/ksis.2012.20.1.081
When analyzing geographical phenomena, two properties need to be considered. One is the spatial dependence structure and the other is a variation or an uncertainty inhibited in a geographic space. Two problems are encountered due to the properties. Firstly, spatial dependence structure, which is conceptualized as spatial autocorrelation, generates heterogeneous geographic landscape in a spatial process. Secondly, generic statistics, although suitable for dealing with stochastic uncertainty, tacitly ignores location information im plicit in spatial data. GIS is a versatile tool for manipulating locational information, while spatial statistics are suitable for investigating spatial uncertainty. Therefore, integrating spatial statistics to GIS is considered as a plausible strategy for appropriately understanding geographic phenomena of interest. Geographic hot-spot analysis is a key tool for identifying abnormal locations in many domains (e.g., criminology, epidemiology, etc.) and is one of the most prominent applications by utilizing the integration strategy. The article aims at reviewing spatial statistical perspective for analyzing spatial processes in the framework of GIS by carrying out empirical analysis. Illustrated is the analysis procedure of using spatial scan statistic for detecting clusters in the framework of GIS. The empirical analysis targets for identifying spatial clusters of breast cancer incidents in Erie and Niagara counties, New York.
A Middleware System for Efficient Acquisition and Management of Heterogeneous Geosensor Networks Data
Kim, Min-Soo ; Lee, Chung-Ho ;
Journal of Korea Spatial Information Society, volume 20, issue 1, 2012, Pages 91~103
DOI : 10.12672/ksis.2012.20.1.091
Recently, there has been much interest in the middleware that can smoothly acquire and analyze Geosensor information which includes sensor readings, location, and its surrounding spatial information. In relation to development of the middleware, researchers have proposed various algorithms for energy-efficient information filtering in Geosensor networks and have proposed Geosensor web technologies which can efficiently mash up sensor readings with spatial information on the web, also. The filtering algorithms and Geosensor Web technologies have contributions on energy-efficiency and OpenAPI, however the algorithms and technologies could not support easy and rapid development of u-GIS applications that need various Geosensor networks. Therefore, we propose a new Geosensor network middleware that can dramatically reduce the time and cost required for development of u-GIS applications that integrate heterogeneous Geosensor networks. The proposed middleware has several merits of being capable of acquiring heterogeneous Geosensor information using the standard SWE and an extended SQL, optimally performing various attribute and spatial operators, and easily integrating various Geosensor networks. Finally, we clarify our middleware's distinguished features by developing a prototype that can monitor environmental information in realtime using spatial information and various sensor readings of temperature, humidity, illumination, imagery, and location.