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2014, Vol.14, No.1

  • 1.

    A Study on Geographic Visualization of Public Data Using Google API in Cloud Computing Environment

    Youngok Kang | Hyeon Deok Kim | 2014, 14(1) | pp.1~15 | number of Cited : 16
    Abstract
    Recently, GIS has been changing from the environment of using specific software to the one of using the open source. Especially, Map API on portal sites has been widely used because everyone can utilize it wherever Internet is connected. In the past, there were many cases of using simple mash-up on the Map API. However, as Map API has evolved into providing various visualization functions, it becomes possible for us to explore and analyze data. Based on such background, this study intends to research how to visualize public data geographically using Google API through a case study. For this research, we collected public data on one-person household and implemented geographic visualization on the Web by using Google’s Map, Earth, Chart, and Fusion Table API. This study has significance in that it visualized data geographically beyond mash-up and made possible for user to explore data interactively. Also, in this study we investigated how to use spatial and nonspatial data among public data with Open API. This study has additional significance in that it suggested a method that both non-specialists who do not need professional spatial analysis and schools which do not have good computer environment can utilize geographic visualization function in cloud computing environment.
  • 2.

    Development of Land Surface Temperature Map Generation Method with Landsat 8 TIRS Imagery and Automatic Weather System Data

    Ku, Chayong | 2014, 14(1) | pp.17~27 | number of Cited : 7
    Abstract
    Climate maps are required at both national and local scales as the interests of climate issues increase in recent years. To meet the need, this study developed a method of producing temperature maps with automatic weather system (AWS) data provided by Korean Meteorological Agency and Landsat 8 thermal infrared sensor (TIRS) imagery. The results were compared with those from the other conventional methods such as spatially interpolated outcomes of AWS data and land surface temperature extracted from Landsat TIRS imagery. It was found that the propose method is superior to the other two approaches in accurately estimating a spatially-continuous temperature map. Therefore, it is anticipated that the incorporation of AWS data with satellite thermal infrared imagery contributes to generating regional-scale climate maps in an accurate fashion.
  • 3.

    Exploration of Spatial Relationship between Urban Regions and Mountain Geomorphology: Review of Theoretical Examination and Quantitative Case Analysis

    Jungyeop Shin | Hakgi Sohn | Hyeongmo Koo | 2014, 14(1) | pp.29~47 | number of Cited : 3
    Abstract
    Location and spatial characteristics of urban regions have close relationships with mountain geomorphology. Also, urban regions and mountains are interacting with each other with evolutionary changes. Urban location and internal structures were formed and changed from the effects of mountain geomorphology. However, notwithstanding the importance of the relationships between urban regions and mountains, there were few quantitative research on it. For this reason, the purpose of this paper is to review the characteristics of spatial relationship between urban regions and mountain geomorphology theoretically, and then is to explore the relationship empirically. For this, the capital cities in the world were analyzed with urban size, altitude, and nearest neighbor distance. In addition, the spatial characteristics of cities in Japan, China, United States were explored with urban size, altitude, gradient, and landuse. In the case of capital cities, the correlation between urban size and altitude was found. In addition, we found the urban altitude, population and nearest neighbor distance partly correlated in the case of cities in Japan, China, and the United States, and the urban landuse patterns related to altitude and gradient in the case of Beijing, Kyoto, and Salt Lake City.
  • 4.

    Outdoor Artificial Light Pollution Change in the Republic of Korea

    Minho Kim | 2014, 14(1) | pp.49~59 | number of Cited : 11
    Abstract
    This research aims at analyzing and presenting changes in nighttime sky glow, as a type of light pollution, in the Republic of Korea (ROK). It utilized Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) nighttime lights imagery and polygon maps representing Eup-Myeon-Dong (EMD) administration units for the years of 1992 and 2012 in order to achieve such purposes. According to this study, approximately 82% of ROK land areas experienced increases in nighttime sky glow during the time period. On the contrary, the decreases of the sky glow occurred at only about 10% of ROK land territories. In addition, the increase of EMD unit number has been observed for last 20 years, taking it into account the exposure to severe light pollution, represented by the maximum pixel values of DMSP OLS imagery. Therefore, it would be urgently required to control and abate nighttime light pollution and research its potential association with negative human health outcomes from the perspective of spatial epidemiology. In this sense, satellite-based data like DMSP OLS representing nighttime sky glow are anticipated to be useful for such research fields.
  • 5.

    Assessment of Land-cover Change Accuracy with Multi-temporal National Land-cover Maps: A Case Study on the Guryang-cheon Watershed, South Korea

    Jongchul Park | Kim Jang-soo | 2014, 14(1) | pp.61~75 | number of Cited : 4
    Abstract PDF
    The land-cover maps, which represent the physical material at the surface of the earth, have has been used as a fundamental data in various studies. Therefore, the accuracy of land-cover maps is one of important issues. This study assessed the accuracy of the land-cover change area detected with multi-temporal national land-cover maps(2000 and 2009) produced by Korea Ministry of Environment. The study area is 165.2km2 of the Guryang-cheon watershed, which is located in the mountainous area of central South Korea. According to the results, the overall land-cover change accuracy was as low as 33.2%. While the land-cover map 2000 has 44.2% overall accuracy, the land-cover map 2009 has 84.6% overall accuracy. The low accuracy of the land-cover map 2000 affects the low accuracy of land-cover change. The major cause of low accuracy in the land-cover map 2000 was a lack of precision in pre-processing of raw data, such as geometric correction or orthometric correction. Another factor limiting higher accuracy appeared to be difficulty in distinguishing the context of grass and a point bar on the inside of a stream bend. In order to improve land-cover change accuracy of the national land-cover map, accuracy of pre-processing will need to be improved, and it will need to strengthen verification in the area of high probability for possible classification error.
  • 6.

    Characteristics of Nonpoint Source Pollution Loads in the Hotspots of Land Cover Change

    김대선 | Seung-Rok Lee | Cho, Jaeil and 2other persons | 2014, 14(1) | pp.77~91 | number of Cited : 2
    Abstract
    Nonpoint source pollution does not have a fixed point of pollution source, but the land cover itself can be a source of pollution. Amid land cover changes in South Korea for various reasons, satellite remote sensing can be an alternative to capturing such changes in continuous spatial and temporal dimensions. In this paper, we extracted hotspots of recent changes of land cover in South Korea by applying spatial statistical methods to satellite-based NDVI (Normalized Difference Vegetation Index) data and analyzed in-situ observations of pollution loads in the watershed of the hotspots. We found that the pollution loads were substantially increased around the mouth of rivers - the outlets of nonpoint source pollution. It seemed that increase of agricultural lands also affected nonpoint source pollution in some hotspot areas. Detecting hotspots of land cover change can help effective monitoring of the country and the analyses of nonpoint source pollution in the hotspot areas can be utilized as a reference data for preservation and development of the country.
  • 7.

    Estimating Spatial Accessibility to Public Libraries on the Regional Scale: A Case Study on Gangwon Province

    CHUN, BO AE | 2014, 14(1) | pp.93~105 | number of Cited : 5
    Abstract
    Physical accessibility to the library can be the most important variable to the users. In particular, public libraries have to provide various services that are distributed equally to all as a basic right. The objective of this study is to investigate the spatial distribution of the public libraries and their users in Gangwon province on the regional scale and identify its main characteristics and trends using geographical information systems (GIS). GIS is used to measure accessibility to public libraries services in terms of both factors of supply and demand. This study presents a multivariate analysis of the effects of supply-side factors (e.g., seating capacity, collection size of books, reading, and cultural programs for community) and demand-side factors (e.g., population). Analysis indicates that there are significant differences between rural and urban areas in accessibility for library services in Gangwon province. The results could be used to assist the public library planning and development authorities to understand the spatial distribution of public libraries and to prioritize sites where public library should be developed in order to improve the accessibility for library services in the study area.
  • 8.

    Spatial Agglomeration Pattern Analysis Using Getis-Ord’s Gi and FLQ: In Case of Knowledge-based Industries in Gyeonggi Province

    김명진 | 2014, 14(1) | pp.107~123 | number of Cited : 15
    Abstract
    The purpose of this study is to analyze the spatial structure of industrial agglomerations and to find hot cluster regions. For this purpose, 31 si-gun level as well as 538 dong level data are investigated with respect to knowledge-based industries. In the analysis, concentration and association between industries are recognized using Getis-Ord’s Gi and Flegg’s Location Quotients (FLQ). The findings reveal that Getis-Ord’s Gi and FLQ are finding similar hotspot regions which can be used as a basis for the analysis of industries in Gyeonggi Province. Province This study contributes to providing the methodology that analyze the agglomeration pattern analysis and is able to provide useful information in implementing cluster policies for Regional Innovation System (RIS) that Gyeonggi local government pursues.