• Title/Summary/Keyword: Geographic Proximity

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Distribution of Soil Series in Jeju Island by Proximity and Altitude (해발고도 및 인접성에 의한 제주도 토양통 분포특성)

  • Moon, Kyung-Hwan;Lim, Han-Cheol;Hyun, Hae-Nam
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.3
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    • pp.221-228
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    • 2007
  • Quantitative analysis of distribution characteristics of soils in Jeju Island was conducted by using geographic information system (GIS) technology. Soil series could be classified 5 groups after cluster analysis with proximity ratios among soil series which mean ratios of boundary lengths of other soils to total boundary length. Classification with proximity only was similar to conventional classification system at detailed soil map although conventional system was made from several criteria such as soil color, altitude and chemical characteristics of soils. Altitudinal sequence of soil series was also suggested from representative altitudes of them which could be found from areal distribution curve along altitudes. The sequence was brown forest soils - black soils - very dark brown soils - dark brown soils from the peak of Halla Mt. to the coast on all sides, which maybe related to pedogenesis process in Jeju Island.

A Fixed Grid Based Cache Algorithm for Performance Improvement in Internet Geographic Information System (인터넷 지리 정보 시스템에서의 성능 개선을 위한 고정 그리드 기반의 캐쉬 알고리즘)

  • Moon, Jin-Yong;Koo, Yong-Wan
    • Journal of Internet Computing and Services
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    • v.1 no.1
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    • pp.27-34
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    • 2000
  • Recently, the use of Geographic Information System in each field of our society is on the increase according to the development of the Internet. But, thereis a problem of the user access latencies, the network traffic, and the server overload in Internet Geographic Information System because spatial data are transferred in large volumes. In this paper, we propose a cache algorithm on client side to solve the above problems. The proposed algorithm demonstrates the performance improvement over known studies by utilizing unit time and spatial proximity. In addition, this paper conducts a performance evaluation to measure the improvement in algorithm efficiency and analyzes the results of the performance evaluation. When spatial data queries are conducted, according to our performance evaluation, hit rate has been improved over the existing algorithms.

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Technological Innovation and Political Stability: A Geographic Distribution of Green Trade in OIC Nations

  • Shamsa KANWAL;Irwan Shah Zainal ABIDIN;Rabiul ISLAM
    • Journal of Distribution Science
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    • v.22 no.8
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    • pp.37-53
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    • 2024
  • Purpose: Global warming is increasingly aggravated by environmental degradation, a challenge that can be mitigated through strategic logistic policies. This study introduces the dynamics of green trade in environmental goods for the Organisation of Islamic Cooperation (OIC) nations. It is a region known for its high environmental degradation, political risk and instability. This study examines how technological innovation and political factors influence the geographic distribution of green trade among OIC nations from 1994 to 2021 using the structural gravity model. The COVID-19 pandemic further emphasised the need for resilient and eco-friendly approaches. Research design, data and methodology: The main objective of the study is to analyse the impact of technological innovation along with scrutinising political determinants of green trade in the OIC region from 1994 to 2021 using the structural gravity model. Results: The results reveal geographic proximity, RTA, and innovation significantly boost green trade. Similarly, OIC's green trade performance has been impeded by high political risk and instability. Conclusions: The research recommends fostering political stability, and conducting further research using longitudinal studies and machine learning to strengthen the understanding of innovation and green trade in the OIC. This will inform policies for sustainable economic growth through green trade.

Geographic information system (GIS) analysis on the distribution of patients visiting at a dental college hospital: a pilot study (Geographic information system (GIS) 이용한 대학치과병원에 내원하는 환자들의 공간적 분포의 분석)

  • Joo, Hyun-Tae;Jeong, Byung-Joon;Cho, In-Woo;Shin, Hyun-Seung;Lim, Mi-Hwa;Park, Jung-Chul
    • Journal of Dental Rehabilitation and Applied Science
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    • v.31 no.4
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    • pp.283-293
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    • 2015
  • Purpose: The aims of this study are to analyze and to visualize distribution of patients visiting at a dental college hospital, using geographic information system (GIS). The visualized data can be utilized in patient care and treatment planning, ultimately leading to the assessment of risk evaluation and prevention of dental diseases. Materials and Methods: Patient information data was obtained from Dankook University Dental Hospital including the unit number, gender, date of birth, and address from 2007 to 2014. Patient distribution was visualized using GIS. Statistical analyses were performed using SAS 9.3 and ArcGIS 10.1. Five factors including proximity, accessibility, age, gender, and socioeconomic status were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. There was a little difference in characteristics for each department. As closer at Dankook University Dental Hospital, visitors increased. And it strongly showed that elderly patients in rural areas tend to visit more. Conclusion: The distribution of patients has been shown to be significantly affected by the proximity, accessibility, age, gender and socioeconomic status. The underlying reason remains to be further studied.

Lead and Cadmium Exposure Assessment Using Biomarkers Collected from Children Living in an Industrial Complex Area in Korea

  • Heo, Jina;Lee, Jong-Tae
    • Asian Journal of Atmospheric Environment
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    • v.7 no.1
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    • pp.56-63
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    • 2013
  • Children are particularly vulnerable to adverse health effects associated with heavy metal exposure. The goal of this study was to investigate the relationship between proximity to an industry complex and blood lead and urinary cadmium levels for children aged 7-13 who lived in Ulsan where a big petrochemical complex is located. We conducted a questionnaire survey to collect data including sociodemographics, daily habits, residential environment, etc. We also analyzed blood lead and urinary cadmium levels using Atomic Absorption Spectrometry (AAS). Data were analyzed using regression analysis. All statistical analyses were conducted with SAS software version 9.2. We calculated distance by using a Geographic Information System (ArcGIS version 10.0). The geometric mean blood lead level was 1.55 ${\mu}g/dL$ (boys: 1.59 ${\mu}g/dL$, girls: 1.51 ${\mu}g/dL$), and the geometric mean urinary cadmium level was 0.51 ${\mu}g/g$ creatinine (boys: 0.45 ${\mu}g/g$ creatinine, girls: 0.58 ${\mu}g/g$ creatinine). In the results of regression analyses, we found that urinary cadmium levels significantly decreased as distance between residence and industrial complex increased after adjusting for age, gender, income, passive smoking and the length of residence. This result was opposite to that for lead levels. Our observations support the hypothesis that urinary cadmium levels in children are related to their proximity to an industrial complex.

Design and Implementation of Location Error Correction Algorithm for RTLS (RTLS를 위한 위치 보정 기법의 설계 및 구현)

  • Jung, Dong-Gyu;Ryu, Woo-Seok;Park, Jae-Kwan;Hong, Bong-Hee
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.286-292
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    • 2008
  • RTLS 시스템은 이동 객체에 RTLS 태그를 부착한 후 태그에서 발산되는 신호를 이용하여 실시간으로 위치를 파악하는 시스템으로 최근 항만 물류 및 자산 관리 분야에서 객체의 실시간 위치를 파악하기 위해 활용되고 있다. RTLS 시스템은 태그의 위치를 측정하기 위해 삼각 측량 법이나, Proximity matching법을 사용한다. 삼각 측량법은 3개 이상의 리더에서 수신된 신호 세기나 신호의 도달 시간을 이용하여 삼각측량 방식으로 위치를 결정하는 알고리즘으로, 전파의 난반사나 장애물등에 민감하며, Proximity matching법은 위치 샘플링 값에 대한 근접성을 이용한 통계 정보를 바탕으로 하여 위치를 결정하는 알고리즘으로 위치 정확도를 높일 수 있으나, 샘플링 데이터 개수에 따라 정확도가 크게 변화하는 문제가 있다. 본 논문에서는 이러한 위치 정보의 오차를 줄이기 위하여, Fingerprint 방식의 확률 모델에 TDOA 방식에서 사용되는 요소들을 혼합하여 확률에 의한 불확실성을 줄이고 더 높은 정확도의 위치 정보를 전달하는 위치 보정 기법을 제안한다. 본 논문에서 제안하는 2단계 위치 보정 기법은 먼저, Fingerprint 데이터 셋으로부터 현재 측정된 위치의 신호정보를 이용한 확률 모델을 적용하여 단 하나의 후보자를 결정한다. 둘째, 측정된 정보와 후보자 위치 정보를 기반으로 TDOA에서 사용하는 기하학적 위치 결정 방법을 변형한 알고리즘을 이용해 측정된 위치를 보정함으로써, TDOA 방식이나, Fingerprint 방식 둘 중 하나만 사용하는 것보다 향상된 위치의 정확도를 제공한다. 그리고 본 논문에서는 제안한 위치 보정 기법을 위한 위치 보정 모듈을 설계하였으며, RTLS 미들웨어에 이를 반영하여 구현하였다.

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Use of GIS for Prioritization and Site Suitability Analysis of Potential Relocation Sites for Military Training Facilities: A Case Study in South Korea

  • Yum, Sang-Guk;Park, Young-Jun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.195-206
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    • 2022
  • The primary purpose of this study was to analyze assessment factors by identifying and prioritizing live fire shooting area requirements using the AHP (Analytic Hierarchy Process) technique. Derived assessment factors for candidate sites were divided into six categories. Of these, four categories (base-to-range distance, weapon danger area, range terrain, and size) were in the realm of physical geography while the remaining two (land use and proximity to habitation) fell under the general heading of human geography. A case study was also conducted to select several alternative firing ranges using derived factors. The optimal location was analyzed by evaluating the candidate site using each assessment factor. As a result, it was found that assessment factors applying to GIS (Geographic Information System) were able to effectively analyze a suitable location for relocation of the focal training facility, taking into consideration public-safety issues, training requirements, and residents' past and likely future complaints. Through this process, it can prevent the waste of time and effort in determining an optimal location for a live fire shooing range.

A GIS-based Analysis of Spatial Patterns of Individual Accessibility: A Critical Examination of Spatial Accessibility Measures (GIS를 이용한 접근성의 공간적 패턴 분석: 공간적 접근성 측정방법에 대한 비판적 검토)

  • Kim Hyun-Mi
    • Journal of the Korean Geographical Society
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    • v.40 no.5 s.110
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    • pp.514-532
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    • 2005
  • The purpose of this study is to critically examine conventional spatial measures of individual accessibility, which are based on the notion of spatial proximity, the single reference location, and the unlinked travel model. Using space-time accessibility measures with the travel-activity diary data set of Portland Metro, US, three expectations from spatial measures on spatial patterns of individual accessibility were empirically examined: (1) does individual accessibility decrease with an increase of distance from the CBD?; (2) does the spatial pattern of accessibility resemble that of urban opportunity density pattern?; and (3) are spatial patterns of individual accessibility of different socio- demographic population groups basically similar as people in the same area share the same geographic characteristics regardless of gender, race, age, and so on? First of all, the results showed that spatial variations in individual accessibility were not directly determined by spatial proximity and opportunity density as suggested by previous accessibility measures. The spatial pattern of individual accessibility was dramatically different from that of urban opportunity density High peaks of accessibility level were found far away from the CBD and regional centers. This finding might be associated with the importance of multi-reference locations and linked travels in shaping accessibility in reality. Furthermore, this study found that spatial patterns of accessibility clearly differ between men and women. These findings suggest that access requires more than proximity, and that the interaction between person-specific space-time constraints and the consequential availability of urban opportunities in space-time renders different accessibility experiences to people even in the same region, which would be one of the key ingredients missing from conventional spatial measures of accessibility.

GIS Conflation using Spatial Proximity Graph (공간근접성 그래프를 이용한 GIS 융합)

  • Kim, Jung-Ok;Kim, Ji-Young;Yu, Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2009.04a
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    • pp.3-5
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    • 2009
  • The matching process is not simple, since the identified features from different sources do not always match in their location, extent, and description. We present a new approach to matching GIS features from disparate sources. A graph theoretic approach is used to model the geographic context and to determine the matching features from multiple sources.

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An analysis framework of the parent-child relationship for post spin-off performance: Evidence from SMEs in Korea

  • Gu, In-Hyeok
    • 한국벤처창업학회:학술대회논문집
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    • 2022.04a
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    • pp.157-161
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    • 2022
  • Building on the DC interaction model between a parent company and its spin-offs, we examine that a dyadic relationship can be differentiated within the functions of space, motivation, and time. We investigate that these three factors encompassing the parent-spin-off DC relationship can be applicable to both linear(i.e., geographic proximity and low spin-off CEO's salary is positive) and nonlinear(i.e., too much frequency of new spin-off creation is as harmful as too little) effects on determining the performance of spin-off firms. The direction of causality is underpinned by social capital, human capital, and compensation-activation theory rather than by the normal consequences of previous empirical research. Further, our results suggest the overlap between DC and entrepreneurship; namely, spin-off firms create, learn, and exploit opportunities through a reconfiguration of parent DC so that DC establishes itself as a key concept in the entrepreneurship domain.

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