• 한국임상수의학회지
• /
• 제34권2호
• /
• pp.146-151
• /
• 2017

Six major outbreaks of highly pathogenic avian influenza (HPAI) occurred from 2003 to 2016 in Korea. Epidemiological investigations of each outbreak revealed that migratory birds were the primary source of the HPAI virus. During the last five years, the geographic transmission pattern of domestic HPAI seems to have extended from local to nationwide; therefore, it is necessary to identify specific locations in which poultry farms are at elevated risk for HPAI outbreak to enable targeted surveillance and other mitigation strategies. Here, a geographical information system (GIS)-based analysis was used to identify geographic areas at high risk for future HPAI incidents in Korea based on historical outbreak data collected between December 2003 and April 2016. To accomplish this, seven criteria were used to identify areas at high-risk for HPAI occurrence. The first three criteria were based on defined spatial criteria buffering of 200 bird migration sites to some defined extents and the historical incidence of HPAI outbreaks at the buffering sites. The remaining criteria were based on combined attribute information such as number of birds or farms at district levels. Based on the criteria established for this study, the most-likely areas at higher risk for HPAI outbreak were located in Chungcheong, Jeolla, Gyeonggi, and Gyeongnam provinces, which are densely populated poultry regions considered major poultry-production areas that are located along bird migration sites. The proportion of areas at risk for HPAI occurrence ranged from 4.5% to 64.9%. For the worst criteria, all nine provinces, including Jeju Island, were found to be at risk of HPAI. The results of this study indicate that the number of poultry farms at risk for HPAI outbreaks is largely underestimated by current regulatory risk assessment procedures conducted for biosecurity authorization. The HPAI risk map generated in this study will enable easy use of information by policy makers to identify surveillance zones and employ targeted surveillance to reduce the impact of HPAI transmission.

• 대한원격탐사학회지
• /
• 제26권1호
• /
• pp.47-57
• /
• 2010

본 연구의 목적은 2006년 태풍 에위니아, 빌리스, 개미와 집중호우로 인해 많은 산사태가 발생한 진부면 지역을 대상으로 항공사진을 이용한 산사태 탐지 및 인공신경망과 GIS를 이용한 산사태 취약성을 분석하는데 있다. 산사태 위치는 산사태 발생 전후의 항공사진을 판독 후 현장에서 확인하였다. 취약성 분석을 위해 지형, 지질, 토양, 임상, 선구조, 토지이용도 등의 자료는 공간 데이터베이스로 구축하였다. 산사태와 관련 요인들간의 상대적 가중치는 인공신경망의 역전파 알고리즘을 이용하여 결정하였다. 그 결과 경사방향과 경사는 다른 요인들 보다 1.2~1.5배 높게 나타났다. 이 가중치를 이용하여 취약성도를 작성 후 분석에 사용하지 않은 산사태 위치와 비교하여 검증하였다. 그 결과 예측 정확도는 81.44%로 나타났다.

• 한국지역지리학회지
• /
• 제12권5호
• /
• pp.583-594
• /
• 2006

조상들의 삶에 관한 흔적인 문화유적은 그 당시의 공간적인 입지에 대한 선인들의 사상을 알아볼 수 있는 좋은 자료다. 본 연구는 문화유적들을 유형별로 분류하고, 각각의 유형별 유적의 입지 특징을 보다 계량적으로 분석하기 위하여 GIS와 삼각다이어그램을 이용하여 분석하였다. 문화유적의 공간적인 입지를 분석하기 위한 지표로는 고도, 도로 접근성, 용수확보가능성의 세 가지 변수를 이용하였다. 분석 결과 각각의 문화유적들은 시대별 유형별로 일정한 분포측정을 보였으며, 이는 문화유적의 분포와 입지에 대한 지리적 관점에서의 접근 가능성이 높음을 의미하는 것이기도 하다. 선사시대에서 역사시대로 넘어오면서 문화유적의 입지는 용수확보가능성이 우수한 지점에서 교통 접근성이 우수한 지점으로 이동하였다. 그리고 각 시대의 지배계급이 남긴 유적들은 대부분 우수한 입지를 보였다.

• 유통과학연구
• /
• 제18권4호
• /
• pp.39-50
• /
• 2020

Purpose: This paper aimed to study the current locations of post offices to analyze service coverage area for parcel delivery in the Eastern Economics Corridor (EEC), which must be considered in the last mile to extend delivery service for e-commerce growth. Thailand Post was the case study in this paper. Research design, data and methodology: To involve solving the delivery service area under the last mile condition, the authors proposed a network analysis to determine service radius by employing a Geographic Information System (GIS). Furthermore, this paper applied Dijkstra's algorithm as a network analysis tool from GIS for analyzing the last mile service coverage area in a new economics zone. At the same time, the authors suggested an approach as a solution to locate last mile delivery center in EEC. Results: The results of the study pointed out that Thailand Post should consider more last mile delivery centers in EEC to support its express service in urban areas as well as improve the efficiency of service coverage for parcel delivery and create more advantages against competitors. Conclusions: This paper proposes a network analysis to extend the last mile service for parcel delivery by following Dijkstra's algorithm from GIS and a solution approach to add more last mile delivery centers. The results of the research will contribute to boosting customer satisfaction for last mile delivery service and enabling easy accessibility to a service center in EEC.

• The Korean Journal of Ecology
• /
• 제19권5호
• /
• pp.465-476
• /
• 1996

There are several environmental variables that may be influential to the spatial distribution of forest vegetation. To create a map of forest vegetation zone over southern part of Korean Peninsula, digital map layers were produced for each of environmental variables that include topography, geographic locations, and climate. In addition, an extensive set of field survey data was collected at relatively undisturbed forests and they were introduced into the GIS database with exact coordinates of survey sites. Preliminary statistical analysis on the survey data showed that the environmental variables were significantly different among the previously defined five forest vegetation zones. Classification of the six layers of digital map representing environmental variables was carried out by a supervised classifier using the training statistics from field survey data and by a clustering algorithm. Although the maps from two classifiers were somewhat different due to the classification procedure applied, they showed overall patterns of vertical and horizontal distribution of forest zones. considering the spatial contents of many ecological studies, GIS can be used as an important tool to manage and analyze spatial data. This study discusses more about the generation of digital map and the analysis procedure rather than the outcome map of forest vegetation zone.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.663-666
• /
• 2005

The Geography Markup Language (GML) is an XML encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. This paper uses the GML to provide extendibility and interoperability of spatial data in moving objects management system. Since the purpose of the system is to provide locations of the moving objects in the web and mobile environments, we used the GML both for presenting map data and trajectories of the moving objects. The proposed system is composed of Location Data Interface, Moving Objects Engine, and Web/Mobile Presentation Interface. We utilized the concept of Web Map Server, that is web mapping technology of OGC (Open Geospatial Consortium), to integrate map data and the location information of the moving objects. In the process of the integration, we used the standard data model and interfaces while defining new application schema. Since our suggested system uses open spatial data encoding and interfaces, both extendibility and interoperability are guaranteed.

• 정보처리학회논문지C
• /
• 제14C권4호
• /
• pp.359-364
• /
• 2007

이동 애드혹 네트워크(Mobile Ad Hoc Network; MANET)에서의 오버레이 멀티캐스트 기법에 대한 최근의 연구들은 동적으로 변화하는 MANET의 네트워크 토폴로지 정보를 유지하기 위해 심각한 오버헤드를 야기하는 문제가 있다. 본 논문에서는 그룹 멤버들의 지리 정보를 이용하는 영역(region) 기반의 새로운 오버레이 멀티캐스트 기법인 ROME(Region-based Overlay Multicast in MANET)을 제안한다. ROME에서는 토폴로지를 작은 영역들로 나누고 그룹 멤버들의 위치 갱신 범위를 하나의 영역으로 한정함으로써 위치 정보 유지와 관련된 오버헤드를 줄인다. ROME은 데이터 패킷의 목적지로서 해당 영역의 멤버들의 주소 목록이 아닌 목적지 영역의 중심점(center point)의 좌표를 사용함으로써 확장성을 제공한다. 시뮬레이션을 통해 ROME이 패킷 오버헤드 측면에서 다른 기법에 비해 성능이 우수함을 보인다.

• 지식경영연구
• /
• 제17권3호
• /
• pp.45-64
• /
• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• 한국동물위생학회지
• /
• 제32권4호
• /
• pp.385-389
• /
• 2009

This study was attempted to survey on the prevalence of canine heartworm infection (Dirofilaria immitis) in the Incheon area in 2006. This study showed comparative infection rates of canine heartworm in conjunction with different geographic locations and rearing environments (i.e., indoor, outdoor or free roaming). In total, 24 dogs (6.0%) were D. immitis positive among a total of 400 tested dogs. The geographic distribution of detection rates was Nam-gu (2 dogs, 6.7%), Yeonsu-gu (1 dog, 3.0%), Namdonggu (5 dogs, 8.0%), Pupyoung-gu (4 dogs, 6.7%), Kanghwa-gun (8 dogs, 13.0%), and Onjin-gun (4 dogs, 11.1%). In addition, 4 dogs (2.0%) or 20 dogs (10.0%) were positive for D. immitis among 202 indoor dogs or 198 outdoor dogs including free roaming dogs, respectively, while 13 dogs (11.7%) were positive for D. immitis among 111 outdoor dogs excluding free roaming dogs. In the case of 87 free roaming dogs, 7 dogs (8.1%) among them were positive for D. immitis.

• 한국GIS학회:학술대회논문집
• /
• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
• /
• pp.64-64
• /
• 2003

The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.