• 한국산학기술학회논문지
• /
• 제16권7호
• /
• pp.4549-4558
• /
• 2015

최근 공간정보기술에 대한 관심도가 증가함에 따라 이와 관련하여 다양한 연구 및 교육이 활발하게 이루어지고 있다. 본 연구는 국산공간정보기술의 확대 발전을 위해 연구교육용 공간정보기술 통합플랫폼(GEEPS)을 개발했다. GEEPS를 개발한 목적은 대학(원) 및 연구기관이 편리하게 활용할 수 있는 환경을 조성하는 것이다. 이를 위해 오픈소스 SW와 공간정보기술 R&D 성과물을 융합하여 각각의 장점을 결합한 SW를 개발하고, GEEPS를 통해 서비스하고 있다. 또한 GEEPS 활용 모니터링 조사를 수행하였으며, 분석결과를 활용하여 활성화방안을 마련하였다. GEEPS 활성화를 위해 개발자 및 교수, 문화 관광분야 담당자 등을 대상으로 정밀한 의견조사를 수행하여 이들의 의견을 반영하고, 방문교육을 활성화하여 기관별 맞춤형교육을 수행하며, 참여마당을 활성화시킬 필요가 있다. 그리고 향후에 GEEPS를 공간지식플랫폼과 결합하거나 오픈소스 GIS 조합이 관리 운영하는 것이 타당할 것이다.

• 지적과 국토정보
• /
• 제46권2호
• /
• pp.225-237
• /
• 2016

최근 들어 공간정보를 비롯하여 다양한 정보와 관련된 정책 동향은 개방과 공유로 변화하고 있다. 이러한 정책 동향에 맞춰서 개별 시스템에서 관리하는 공간정보를 체계적으로 공유하기 위해서는 공간정보표준을 반드시 준수해야 한다. 공간정보표준을 준수할 경우, 정보에 대한 접근성과 가독성, 정보처리 및 시스템 간의 상호운용성을 향상시킬 수 있다. 하지만 이러한 표준의 이점에도 불구하고, 공간정보표준에 대한 체계적인 관리가 이루어지지 않아 공간정보사업자들은 표준 적용에 많은 어려움을 겪고 있다. 따라서 본 연구에서는 국내외 표준 제정 현황을 조사하고, 국내 공간정보표준이 갖는 표준의 중복성, 버전 간 불일치, 유사 표준 제정 등의 문제점을 다각적으로 분석하여 이러한 문제점을 개선하기 위한 정책 방안을 제시하였다. 본 연구의 결과는 향후 국가공간정보체계에서 공간정보표준의 관리 운영, 조직 구성, 법제도 개선 등을 위한 기초 연구 자료로 활용될 수 있을 것으로 판단된다.

• 대한공간정보학회지
• /
• 제18권3호
• /
• pp.11-19
• /
• 2010

최근 들어 우리나라에서는 지역적인 돌발 및 집중강우패턴으로 인해 산사태 등의 자연재해발생이 증가하고 있다. 이에 따라 산사태를 모니터링하고 관리하기 위하여 최신의 3차원 측량장비인 LiDAR 등으로 취득한 고정밀 고밀도의 수치고도자료를 이용하여 산사태지역에서의 변위탐지와 모니터링을 위한 지면변위 연구가 시도되고 있다. 그러나 대용량의 LiDAR 데이터를 처리하는 상업용 소프트웨어는 고가이며, 산사태 분석과 같은 특화된 업무에 적용하기에 무리가 있다. 또한 산사태와 관련된 다양한 공간정보를 다수의 이용자가 쉽게 접근하여 직관적으로 활용할 수 있는 방안이 없는 실정이다. 따라서 본 연구에서는 시계열 LiDAR 데이터를 처리하여 산사태를 분석할 수 있으며, 해당 지역에서의 지형 및 산사태 관련정보를 다수의 사용자에게 직관적으로 서비스할 수 있는 응용프로그램을 개발하였다. 또한 사례연구를 통해 연구지역에 대한 산사태 현황을 분석할 수 있었으며, 3차원 기반의 산사태 및 지형정보를 직관적으로 서비스할 수 있음을 제시하였다.

• 한국지구과학회지
• /
• 제34권6호
• /
• pp.507-514
• /
• 2013

백두산은 정상부에 천지가 존재하는 잠재적인 활화산으로 최근 화산활동 분화와 관련된 화산이류 발생가능성에 대한 우려가 높아지고 있다. 본 연구에서는 백두산 정상부의 칼데라 호수 지점의 분화를 가정한 화산이류의 모델링을 수행하였다. LAHARZ를 적용한 본 연구는 다른 해상도의 수치지형모형을 구동모형의 매개변수를 변화시키며 분화로 야기된 다양한 상황의 화산이류 발생 영향을 검토하였다. 매개변수의 민감도 해석은 움푹 패인 곳(sink)을 정의하는 한계치와 수치지형모형의 해상도가 화산이류의 모델링 결과에 주는 영향이 제한적이라는 결과를 보여주었고, 하천격자의 도출을 위한 한계치와 수치모형의 해상도는 하천격자의 공간적 분포에 상대적으로 민감한 결과를 보여주었다. 또한 LAHARZ가 가지고 있는 문제가 흐름 발생 알고리즘 자체의 한계에 기인하는 것을 확인하였다. 한편, 상이한 수치지형 모형의 해상도가 화산이류의 최종 모델링결과에 미치는 영향은 제한적으로 나타났다.

• Asian Pacific Journal of Cancer Prevention
• /
• 제15권23호
• /
• pp.10335-10337
• /
• 2015

Background: Gastric cancer is considered as the second most prevalent cancer in Iran. The present research sought to identify high risk clusters of gastric cancer with mapping using space-time scan statistics. Materials and Methods: The present research is of descriptive type. The required data were gathered from the registered cancer reports of Cancer Control Office in the Center for Non Communicable Disease of the Ministry of Health (MOH). The data were extracted at province level in the time span of 2004-9. Sat-Scan software was used to analyse the data and to identify high risk clusters. ArcGIS10 was utilized to map the distribution of gastric cancer and to demonstrate high risk clusters. Results: The most likely clusters were found in Ardabil, Gilan, Zanjan, East-Azerbaijan, Qazvin, West-Azerbaijan, Kurdistan, Hamadan, Tehran and Mazandaran between 2007 and 2009. It was statistically significant at the p-value below 0.05. Conclusions: High risk regions included Northern, West-North and central provinces, particularly Ardabil, Kurdistan, Mazandaran and Gilan. More screening tests are suggested to be conducted in high risk regions along with more frequent epidemiological studies to enact gastric cancer prevention programs.

• Asian Pacific Journal of Cancer Prevention
• /
• 제14권1호
• /
• pp.11-13
• /
• 2013

Background: Esophagus cancer, the third most common gastrointestinal cancer overall, demonstrates high incidence in parts of Iran. The counties of Iran vary in size, shape and population size. The aim of this study was to account for spatial support with Area-to-Area (ATA) Poisson Kriging to increase precision of parameter estimates and yield correct variance and create maps of disease rates. Materials and Methods: This study involved application/ecology methodology, illustrated using esophagus cancer data recorded by the Ministry of Health and Medical Education (in the Non-infectious Diseases Management Center) of Iran. The analysis focused on the 336 counties over the years 2003-2007. ATA was used for estimating the parameters of the map with SpaceStat and ArcGIS9.3 software for analysing the data and drawing maps. Results: Northern counties of Iran have high risk estimation. The ATA Poisson Kriging approach yielded variance increase in large sparsely populated counties. So, central counties had the most prediction variance. Conclusions: The ATAPoisson kriging approach is recommended for estimating parameters of disease mapping since this method accounts for spatial support and patterns in irregular spatial areas. The results demonstrate that the counties in provinces Ardebil, Mazandaran and Kordestan have higher risk than other counties.

• Asian Pacific Journal of Cancer Prevention
• /
• 제16권13호
• /
• pp.5225-5231
• /
• 2015

Background: One of the most prevalent cancers in whole world is skin cancer and its prevalence is growing. The present research sought to estimate relative risk of morbidity and mortality due to skin cancer. Materials and Methods: In this cross-sectional study. The required data were gathered from the registered cancer reports of Cancer Control Office in the Center for Non Communicable Disease of the Iranian Ministry of Health (MOH). The data were extracted at province level in the time span of 2008-10. WINBUGS software was used to analyze the data and to identify high risk regions. ArcGIS10 was utilized to map the distribution of skin cancer and to demonstrate high risk provinces by using classic and fully Bayesian models taking into account spatial correlations of adjacent regions separately for men and women. Results: Relative risk of morbidity for women in Yazd and for men in Kurdistan and relative risk of mortality for women in Bushehr and for men in Kohgiluyeh were found to be the highest. Bayesian model due to regarding adjacent regions correlation, have precise estimation in comparing to classical model. More frequent epidemiological studies to enact skin cancer prevention programs. Conclusions: High risk regions in Iran include central and highland regions. Therefore it is suggested that health decision makers enact public education, using anti UV creams and sunglasses for those parts as a short preventing program.

• Asian Pacific Journal of Cancer Prevention
• /
• 제17권sup3호
• /
• pp.27-32
• /
• 2016

Stomach cancer, the fourth most common cancer and the second leading cause of cancer-related death through the world, is very common in parts of Iran. Geographic variation in the incidence of stomach cancer is due to many different factors. The aim of this study was to assess the geographical and spatial distribution of stomach cancer in Iran using data from the cancer registry program in Iran for the year 2009. The reported incidences of stomach cancer for different provinces were standardized to the world population structure. ArcGIS software was used to analyse the data. Hot spots and high risk areas were determined using spatial analysis (Getis-Ord Gi). Hot and cold spots were determined as more than or less than 2 standard deviations from the national average, respectively. A significance level of 0.10 was used for statistical judgment. In 2009, a total of 6,886 cases of stomach cancers were reported of which 4,891 were in men and 1,995 in women (standardized incidence rates of 19.2 and 10.0, respectively, per 100,000 population). The results showed that stomach cancer was concentrated mainly in northwest of the country in both men and women. In women, northwest provinces such as Ardebil, East Azerbaijan, West Azerbaijan, Gilan, and Qazvin were identified as hot spots (p<0.1). In men, all northwest provinces, Ardabil, East Azerbaijan, Gilan, Qazvin, Zanjan and Kurdistan, the incidences were higher than the national average and these were identified as hot spots (P<0.01). As stomach cancer is clustered in the northwest of the country, further epidemiological studies are needed to identify factors contributing to this concentration.

• Asian Pacific Journal of Cancer Prevention
• /
• 제17권sup3호
• /
• pp.59-64
• /
• 2016

Breast cancer (BC) is the most common cancer in females (27% of the total) and the main cause of death (16%) due to cancer in women in developed and developing countries. Variations in its incidence rate among geographical areas are due to various contributing factors. Since there have been a lack of studies on this topic in our country, the present spatial analysis of breast cancer incidence in Iran in 2009 was conducted using data from the national cancer registry system. The reported incidences of the disease were standardized according to the World Health Organization population and the direct method. Then data was inserted into the GIS software and finally, using the Hot Spot Analysis (Geties-Ord Gi), high-risk areas were drawn. Provinces with incidences 1.96 SD higher or lower than the national average were considered as hot spots or cold spots, at the significance level of 0.05%. In 2009, a total of 7,582 cases of BC occurred in Iran. The annual incidence was 33.2 per hundred thousand people. Our study showed that the highest incidence of BC in women occurred in the central provinces of the country, Tehran, Isfahan, Yazd, Markazi and Fars. The results of hot spots analysis showed that the distribution of high-risk BC was focused in central parts of Iran, especially Isfahan province (p <0.01). The other provinces were not significantly different from the national average. The higher incidence in central provinces may be due to greater exposure to carcinogens in urban areas, a Western lifestyle and high prevalence of other risk factors. Further epidemiological studies about the etiology and early detection of BC are essential.

• 농촌계획
• /
• 제15권4호
• /
• pp.199-211
• /
• 2009

The aim of this paper is to investigate the applicability of high spatial resolution remote sensing images for conducting the rural amenity resources survey. There are a large number of rural amenity resources and field reconnaissance without a sufficient preliminary survey involves a big amount of cost and time even if the data quality cannot always be satisfied with the advanced study. Therefore, a new approach should be considered like the state-of-the-art remote sensing technology to support field survey of rural amenity resources as well as to identify the spatial attributes including the geographical location, pathway, area, and shape. Generally high-resolution satellite or aerial photo images are too expensive to cover a large area and not free of meteorological conditions, but recently rapidly-advanced internet-based image services, such as Google Earth, Microsoft Bing maps, Bluebirds, Daum maps, and so on, are expected to overcome the handicaps. The review of the different services shows that Google Earth would be the most feasible alternative for the survey of rural amenity resources in that it provides powerful tools to build spatial features and the attributes and the data format is completely compatible with other GIS(Geographic information system) software. Hence, this study tried to apply the Google Earth service to interpret the amenity resources and proposed the reformed work process conjugating the internet-based high-resolution images like satellite and aerial photo data.