• 한국환경과학회지
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• 제22권11호
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• pp.1373-1381
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• 2013

Mt. Yeonae is at Gijang-gun in Busan and is surrounded by farming lands on three sides. The search for the species composition and dynamics of local communities were studied at Mt. Yeonae of how spatial similarity decays with geographic distance. The index values of Z$\ddot{u}$rich-Montpellier School's phytosociology at the 12 plots was compared to a distribution of similarly using 20 m quadrates at 12 sites. The specific communities were five including Pinus densiflora - Quercus variabilis community. Six species were significant similarity between neighboring sites by using the spatial autocorrelation coefficient, Moran's I. If Mt. Yeonae was destroyed by an artificial action, some spatial correlated species such as P. densiflora and Q. variabilis will be collapsed because of no maintaining the effective population sizes.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.233-243
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• 2015

A hotspot is a spatial pattern that properties or events of spaces are densely revealed in a particular area. Whereas location information is easily captured with increasing use of mobile devices, so is not our emotion unless asking directly through a survey. Tweet provides a good way of analyzing such spatial sentiment, but relevant research is hard to find. Therefore, we analyzed hotspots of emotion in the twitter using spatial autocorrelation. 10,142 tweets and related GPS data were extracted. Sentiment of tweets was classified into good or bad with a support vector machine algorithm. We used Moran's I and Getis-Ord $G_i^*$ for global and local spatial autocorrelation. Some hotspots were found significant and drawn on Seoul metropolitan area map. These results were found very similar to an earlier conducted official survey of happiness index.

• 농촌계획
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• 제19권2호
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• pp.107-120
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• 2013

A lot of rural development projects have been planned and implemented for revitalizing rural areas in South Korea. However, it is not easy to properly evaluate and quantitatively analyze project outcomes. For this reason only selected regions have been evaluated for rural projects by government agencies. In this study, we analyzed the purpose and the contents of the Rural Village Development Project (RVDP) and Green Tourism Village Project (GTVP) to find indicators for evaluating results of rural projects using logistic regression analysis. Outputs of this study show that RVDPs increase regional population and GTVPs positively affect the sales of agricultural products. We also estimated the spatial distribution of project effects through spatial autocorrelation analysis and local-spatial autocorrelation analysis. Results show that the Moran's I values for the proportion of farmers with avocational jobs, product sales changes, and population growth in Jeol-La province are positive and the biggest one is population growth. Especially, key areas of agricultural product sales are widely distributed.

• 한국농촌건축학회논문집
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• 제26권2호
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• pp.27-36
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• 2024

Many houses have been left vacant in cities worldwide due to changes in the economy, society, and urban composition. The increase in vacant houses causes social problems and decrease in the value of real estate. Considering the cost of preparing a new residence because the existing residence no longer functions, it is an important problem to solve empty houses in the existing residence. Accordingly, policy attempts and studies to reduce and utilize vacant houses are in progress in various countries. In South Korea, the ratio of vacant houses was 6.4% of all houses as of 2021, and in Jeolla-buk-do, it was 11.6%, which is higher than the national average. Jeollabuk-do conducted a fact-finding survey on countermeasures against vacant houses; 17,732 vacant houses (2.4%) were surveyed. The urbanization, population, and terrain of Jeollabuk-do, consisting of 14 cities and counties, were considered. The ratios, types, grades, and spatial autocorrelations of vacant houses were analyzed after classification into city areas (focus, small, and medium) and county areas (plains and mountains) areas to derive policies according to the distribution of vacant houses. The average difference in ratio, type, grade, and spatial autocorrelation of vacant houses was used to analyze the characteristics of the distribution of vacant houses according to these classifications. There were significant differences in the averages of the ratios, grades, and spatial autocorrelations between city and county areas. The autocorrelation of vacant house distribution exhibited differences between urban and county areas.

• Ocean and Polar Research
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• 제29권4호
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• pp.391-400
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• 2007

To identify the spatial distribution pattern of water quality in Masan Bay, Pearson's correlation as a common statistic method and Moran's I as a spatial autocorrelation statistics were applied to the hydrological data seasonally collected from Masan Bay for two years ($2004{\sim}2005$). Spatial distribution of salinity, DO and silicate among the hydrological parameters clustered strongly while chlorophyll a distribution displayed a weak clustering. When the similarity matrix of Moran's I was compared with correlation matrix of Pearson's r, only the relationships of temperature vs. salinity, temperature vs. silicate and silicate vs. total inorganic nitrogen showed significant correlation and similarity of spatial clustered pattern. Considering Pearson's correlation and the spatial autocorrelation results, water quality distribution patterns of Masan Bay were conceptually simplified into four types. Based on the simplified types, Moran's I and Pearson's r were compared respectively with spatial distribution maps on salinity and silicate with a strong clustered pattern, and with chlorophyll a having no clustered pattern. According to these test results, spatial distribution of the water quality in Masan Bay could be summed up in four patterns. This summation should be developed as spatial index to be linked with pollutant and ecological indicators for coastal health assessment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.767-785
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• 2021

With the rapid development of information technology, it is now possible to analyze the spatial patterns of cultivated land and its evolution by combining GIS, geostatistical analysis models and spatiotemporal big data for the dynamic monitoring and management of cultivated land resources. The spatial pattern of cultivated land and its evolutionary patterns in Luoyang City, China from 2009 to 2019 were analyzed using spatial autocorrelation and spatial autoregressive models on the basis of GIS technology. It was found that: (1) the area of cultivated land in Luoyang decreased then increased between 2009 and 2019, with an overall increase of 0.43% in 2019 compared to 2009, with cultivated land being dominant in the overall landscape of Luoyang; (2) cultivated land holdings in Luoyang are highly spatially autocorrelated, with the 'high-high'-type area being concentrated in the border area directly north and northeast of Luoyang, while the 'low-low'-type area is concentrated in the south and in the municipal area of Luoyang, and being heavily influenced by topography and urbanization. The expansion determined during the study period mainly took place in the Luoyang City, with most of it being transferred from the 'high-low'-type area; (3) elevation, slope and industrial output values from analysis of the bivariate spatial autocorrelation and spatial autoregressive models of the drivers all had significant effects on the amount of cultivated land holdings, with elevation having a positive effect, and slope and industrial output having a negative effect.

• 지적과 국토정보
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• 제50권1호
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• pp.25-45
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• 2020

본 연구의 주된 목적은 녹지의 공간 분포 패턴을 식별하는데 있어 국지적 공간자기상관 기법들의 성능을 비교하고 분석하는 것이다. 이 연구목적을 달성하기 위해 본 연구는 위성영상분석기법과 공간자기상관기법들을 이용하였다. 분석의 결과 공간 특이치 군집을 갖는 LISA 군집지도가 도시녹지의 공간 분포 패턴을 식별하는 데 있어서 다른 분석기법들보다 우수함이 확인되었다. 본 연구는 기존의 연구들과는 다른 몇 가지 연구방법을 이용했다는 점에서 관련분야에 기여할 수 있다. 이러한 차별성과 유용성에도 불구하고 본 연구는 녹지의 공간적 분포패턴을 식별하는 있어서 저해상도 위성영상을 이용했다는 점과 식생지수들 중에서 NDVI만을 이용했다는 점에서 한계를 지닌다. 이러한 한계들은 향후연구에서 UAV영상을 이용하거나 또는 여러 가지 식생지수들을 동시에 이용한다면 극복될 수 있을 것이다.

• 한국지리정보학회지
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• 제13권3호
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• pp.64-73
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• 2010

본 연구는 충청권을 대상으로 공간특성을 분석하고 쇠퇴지역을 도출하는데 목적이 있다. 쇠퇴지역 도출을 위해 쇠퇴지표를 선정하고 충청권의 시 공간적 지표자료를 가공하여 공간자료로 이용하였으며, 쇠퇴지역의 특성을 도출하기 위하여 공간적 자기상관을 적용하였다. 공간적 자기상관은 '공간'이라는 요인을 고려하여 공간특성을 도출할 수 있는 방법이다. 또한 쇠퇴지역의 특성 도출을 위해 경제학적 개념을 도입하여 정(+)의 값을 가지는 지역은 보완지역으로 부(-)의 값을 가지는 지역은 대체지역으로 구분하였다. 이를 통해 주변지역의 성장으로 인해 쇠퇴되는 지역과 주변지역의 성장으로 인해 함께 성장하는 지역 등의 특성을 도출하였다. 본 연구는 충청권 시 군의 쇠퇴지역 도출 및 특성을 분석함으로써 향후 재생계획 수립을 위한 의사결정을 지원하고자 한다.

• Geomechanics and Engineering
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• 제22권4호
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• pp.339-348
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• 2020

The uncertain geotechnical properties of frozen soil are important evidence for the design, operation and maintenance of the frozen ground. The complex geological, environmental and physical effects can lead to the spatial variations of the frozen soil, and the uncertain mechanical properties are the key factors for the uncertain analysis of frozen soil engineering. In this study, the elastic modulus, strength and Poisson ratio of warm frozen soil were measured, and the statistical characteristics under different temperature conditions are obtained. The autocorrelation distance (ACD) and autocorrelation function (ACF) of uncertain mechanical properties are estimated by random field (RF) method. The results show that the mean elastic modulus and mean strength decrease with the increase of temperature while the mean Poisson ratio increases with the increase of temperature. The average values of the ACD for the elastic modulus, strength and Poisson ratio are 0.64m, 0.53m and 0.48m, respectively. The standard deviation of the ACD for the elastic modulus, strength and Poisson ratio are 0.03m, 0.07m and 0.03m, respectively. The ACFs of elastic modulus, strength and Poisson ratio decrease with the increase of ratio of local average distance and scale of fluctuation. The ACF of uncertain mechanical properties is different when the temperature is different. This study can improve our understanding of the spatial autocorrelation variations of uncertain geotechnical properties and provide a basis and reference for the uncertain settlement analysis of frozen soil foundation.

• 환경영향평가
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• 제22권5호
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• pp.513-523
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• 2013

This purpose of this work is to explore the characteristics of urban thermal environment distribution with the case of Daejeon. To do that, this work applied GIS Spatial Statistics to the LandSAT images gathered from 2000 to 2011. The urban thermal environment distribution at the time point of 2 showed high spatial autocorrelation. Therefore, it is judged that spatial autocorrelation is needed to increase the reliability and explanatory power of the characteristics of thermal environment distribution. In the case of the thermal in Daejeon, its positive clustering appeared high at the time point of 2, and its clustering in 2011 more gradually decreased than that in 2000 to 2011. In particular, given the decrease in the core H-H region, it was found that the thermal environment of Daejeon was greatly improved. However, since the rise in the region L-L means another changed like construction of a new city, it is judged that it is necessary to come up with a proper plan. It is considered that this analysis of the characteristics of urban thermal environment distribution in consideration of spatial autocorrelation L-L be useful for providing a fundamental material necessary for the policy and project of thermal environment improvement.