• Title/Summary/Keyword: GIS Determinant

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A Study on the Benefits of GIS Implementation in the Local Authorities (우리나라 지방자치단체의 GIS 편익측정에 관한 연구)

  • 김태진
    • Spatial Information Research
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    • v.8 no.2
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    • pp.203-211
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    • 2000
  • In the GIS literature, evaluation efforts have also been rare and unsystematic because of the difficulties in measuring impacts, and the lack of developed methodologies and evaluation criteria. Using a survey of the an ten local authorities in Korea, this research examines the benefits of using GIS and analyze the factors which affect the benefits of GIS in local authorities. Following are the major findings of this empirical research. First, most of the local authorities employees surveyed report improvements in operational and decision-making benefits. Second, factors influencing the benefits of GIS include political support and performance of the GIS system.

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Modeling Soil Temperature of Sloped Surfaces by Using a GIS Technology

  • Yun, Jin I.;Taylor, S. Elwynn
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.43 no.2
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    • pp.113-119
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    • 1998
  • Spatial patterns of soil temperature on sloping lands are related to the amount of solar irradiance at the surface. Since soil temperature is a critical determinant of many biological processes occurring in the soil, an accurate prediction of soil temperature distribution could be beneficial to agricultural and environmental management. However, at least two problems are identified in soil temperature prediction over natural sloped surfaces. One is the complexity of converting solar irradiances to corresponding soil temperatures, and the other, if the first problem could be solved, is the difficulty in handling large volumes of geo-spatial data. Recent developments in geographic information systems (GIS) provide the opportunity and tools to spatially organize and effectively manage data for modeling. In this paper, a simple model for conversion of solar irradiance to soil temperature is developed within a GIS environment. The irradiance-temperature conversion model is based on a geophysical variable consisting of daily short- and long-wave radiation components calculated for any slope. The short-wave component is scaled to accommodate a simplified surface energy balance expression. Linear regression equations are derived for 10 and 50 cm soil temperatures by using this variable as a single determinant and based on a long term observation data set from a horizontal location. Extendability of these equations to sloped surfaces is tested by comparing the calculated data with the monthly mean soil temperature data observed in Iowa and at 12 locations near the Tennessee - Kentucky border with various slope and aspect factors. Calculated soil temperature variations agreed well with the observed data. Finally, this method is applied to a simulation study of daily mean soil temperatures over sloped corn fields on a 30 m by 30 m resolution. The outputs reveal potential effects of topography including shading by neighboring terrain as well as the slope and aspect of the land itself on the soil temperature.

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Analysis of Determinant Factors of Apartment Price Considering the Spatial Distribution and Housing Attributes (공간지리적 요인과 주거특성을 고려한 공동주택 가격결정 분석)

  • Moon, Tae-Heon;Jeong, Yoon-Young
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.1
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    • pp.68-79
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    • 2008
  • Because local cities are different from large cities, they need to reflect their own characteristics of housing market. Thus in order to obtain useful implications for the establishing sound housing market in Jinju City, this paper investigated the characteristics of spatial distribution and determinant factors that affect apartment price in Jinju City. GIS representation of the apartments showed that most of old and small apartments were built in 'land readjustment project' areas executed in 1970s. On the contrary, new and large scale apartment complexes were built quite recently and distributed in the western and southern parts of the city. Next, in order to examine the factors which affect apartment price, this paper subtracted firstly several variables from the related studies. However in order to avoid multi-colinearity, variables were summarized by means of factor analysis. Then, setting apartment price as a dependant variable, 12 hedonic price models were established with 33 independent variables. As results, building age, floor area, accessibility to university and hospital, accessibility to arterial road, and stair-type building were turned out to be significant. These results will be used in making the supply and allocation plan of urban facilities and housing. Finally as conclusions this paper emphasized the need of periodic analysis of local housing market and establishing detailed housing information systems.

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Modeling Community Capacity Building Using Spatial Asset Mapping (공간자산매핑을 이용한 지역사회 능력배양의 모델링에 관한 연구)

  • Liou, Jaeik
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.4
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    • pp.98-108
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    • 2004
  • The concept of community capacity is regarded as the ability of people and communities to do works associated with the determinant factors and indicators of the circumstances of socio-economic, environmental and physical contexts. Building capacity of communities to effectively analyze our problematic issues and planning of community development is often required to scrutinize current status of community of socio-economic and infrastructural capacity development with GIS. We consider community development as a planned effort to build assets that increase the capacity of communities. Spatial asset mapping is the process enabling to identify and make inventories of tangible and intangible assets. This mapping requires developing a capacity inventory that collects individual organizational and community capacities in view of human, socio-cultural, natural, financial, digital, and physical capacity. The purpose of this research is not only designed to suggest a new concept capacity building, but also proposes a more creative framework of asset-based community cap linking to parcel-based spatial asset mapping and capacity mapping process.

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Analysis and Evaluation of Glycemic Indices and Glycemic Loads of Frequently Consumed Carbohydrate-Rich Snacks according to Variety and Cooking Method (탄수화물 간식류 식품 및 조리방법에 따른 혈당지수 및 혈당부하지수)

  • Kim, Do Yeon;Lee, Hansongyi;Choi, Eun Young;Lim, Hyunjung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.1
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    • pp.14-23
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    • 2015
  • This study examined the glycemic indices (GIs) and glycemic loads of carbohydrate-rich snacks in Korea according to variety and cooking method. The most popular carbohydrate snacks (corn, potatoes, sweet potatoes, chestnuts, and red beans) from the Korean National Health and Nutrition Examination Survey nutrient database were cooked using a variety of conventional cooking methods (steaming, baking, porridge, puffing, and frying). The GIs of foods were measured in 60 healthy males after receiving permission from the University Hospital institutional review board (KMC IRB 1306-01). Blood glucose and insulin levels were then measured at 0, 15, 30, 60, 90, and 120 min after consuming glucose, and each test food contained 50 g of carbohydrates (corn: 170.0 g, potatoes: 359.7 g, sweet potatoes: 160.3 g, chestnuts: 134.8 g, red beans: 73.1 g). GI values for test foods were calculated based on the increase in the area under the blood glucose response curve for each subject. Steamed potatoes ($93.6{\pm}11.6$), corn porridge ($91.8{\pm}19.5$), baked sweet potatoes ($90.9{\pm}9.6$), baked potatoes ($78.2{\pm}14.5$), steamed corn ($73.4{\pm}9.9$), and steamed sweet potatoes ($70.8{\pm}6.1$) were shown to be considered high GI foods, whereas baked chestnuts ($54.3{\pm}6.3$), red bean porridge ($33.1{\pm}5.5$), steamed red beans ($22.1{\pm}3.2$), fried potatoes ($41.5{\pm}7.8$), and ground and pan-fried potatoes ($28.0{\pm}5.1$) were considered as low GI foods. The results suggest that the cooking method of carbohydrate-rich snacks is an important determinant of GI values.