• 제목/요약/키워드: autocorrelation distribution

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무주 남대천에 서식하는 조류의 공간적 분포특성 분석을 위한 공간자기상관 적용 연구 (Application of Spatial Autocorrelation for Analysis of Spatial Distribution Characteristics of Birds Observed in Namdaecheon River, Muju-gun, Jeollabuk-do, Korea)

  • 강종현;김용기;연명훈
    • 환경영향평가
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    • 제22권5호
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    • pp.467-479
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    • 2013
  • This study was conducted to find out characterization of spatial distribution of birds observed in river areas. Our bird survey was carried out 4 times at 31 sites from January to September in 2011. A total of 1,609 accumulated individuals belonging to 59 species, 28 families and 11 orders were observed. In the result of spatial autocorrelation analysis using the richness index of the maximum counts of each sites, we confirmed that the distribution of birds in Namdaecheon river was clustered and the tendency of spatial autocorrelation was apparent. The area of each sites within a 200m radius was classified in four biotope categories such as agricultural land, forest, residential area and water area, and the spatial autocorrelation was analysed about four types. In the result of spatial autocorrelation analysis for four biotope categories, all types were showed the positive spatial autocorrelation, but the type of water area was higher than other types. The positive correlation was found between the water area and water birds in statistical significance. However, the forest birds had non-significance values. Therefore, it is appropriate to focus on water birds except for forest birds, when researches of bird distribution in river ecosystem is conducted. The number of bird species and individuals increased as the riverside of water area was to widen. Thus, if the areas of riverside offering the feeding and roosting area increase, it will be accommodated many birds. Also, the areas of riverside should be maintained naturally because it is an important habitats of birds. Our study area is on the outskirts the city of higher rates of forest and agricultural land, it may be unreasonable to apply our results to the whole rivers. If the research about the river flowing around the city will be conducted, it is expected to be useful to the relation study area such as ecological river's restoration.

Residual spatial autocorrelation in macroecological and biogeographical modeling: a review

  • Gaspard, Guetchine;Kim, Daehyun;Chun, Yongwan
    • Journal of Ecology and Environment
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    • 제43권2호
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    • pp.191-201
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    • 2019
  • Macroecologists and biogeographers continue to predict the distribution of species across space based on the relationship between biotic processes and environmental variables. This approach uses data related to, for example, species abundance or presence/absence, climate, geomorphology, and soils. Researchers have acknowledged in their statistical analyses the importance of accounting for the effects of spatial autocorrelation (SAC), which indicates a degree of dependence between pairs of nearby observations. It has been agreed that residual spatial autocorrelation (rSAC) can have a substantial impact on modeling processes and inferences. However, more attention should be paid to the sources of rSAC and the degree to which rSAC becomes problematic. Here, we review previous studies to identify diverse factors that potentially induce the presence of rSAC in macroecological and biogeographical models. Furthermore, an emphasis is put on the quantification of rSAC by seeking to unveil the magnitude to which the presence of SAC in model residuals becomes detrimental to the modeling process. It turned out that five categories of factors can drive the presence of SAC in model residuals: ecological data and processes, scale and distance, missing variables, sampling design, and assumptions and methodological approaches. Additionally, we noted that more explicit and elaborated discussion of rSAC should be presented in species distribution modeling. Future investigations involving the quantification of rSAC are recommended in order to understand when rSAC can have an adverse effect on the modeling process.

이상적인 자기 상관 특성을 갖는 4진 수열 (Quaternary Sequence with Ideal Autocorrelation Property)

  • 장지웅
    • 한국통신학회논문지
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    • 제39A권8호
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    • pp.445-452
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    • 2014
  • 본 연구에서는 짝수 주기와 균형성을 갖는 4진 수열에 대하여 이상적인 자기상관특성을 정의하고, 이것이 이상적인 자기상관특성이 됨을 증명하였다. 또한, 주기가 $2^n-1$인 이상적인 자기 상관 특성을 갖는 이진 수열과 Gray 사상을 이용하여 주기가 $2{\times}(2^n-1)$인 이상적인 자기 상관 특성을 갖는 4진 수열의 생성법을 제안한다. 또한 새로 제안된 4진 수열의 자기상관 분포도 유도하였다.

Sidel'nikov 수열의 자기상관 분포 (On the Autocorrelation Distributions of Sidel'nikov Sequences)

  • 김영식;정정수;노종선;정하봉;김경아
    • 한국통신학회논문지
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    • 제30권8C호
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    • pp.735-741
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    • 2005
  • 이 논문에서는 Sidel`nikoc 수열의 자기상관 분포, 다시 말해 자기상관 함수 각각의 값들의 발생 회수를 유도하였다. M-진 Sidel`nikov 수열의 각각의 상관 값들의 발생 회수는 M차의 원분수를 이용하서 표현된다. 또한 서로 다른 자기 상관 값들의 총 개수는 알파벳 크기 M뿐만 아니라 수열의 주기에도 의존하지만 언제나 ($\frac{M}{2}$)+1보다 작거나 같다는 사실을 보였다.

Sidel'nikov 수열들 간의 관계 (On the Relationship of Sidel'nikov Sequences)

  • 임태형;김영식;정정수;노종선
    • 한국통신학회논문지
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    • 제31권6C호
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    • pp.582-588
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    • 2006
  • 이 논문에서는 서로 다른 원시원과 decimation을 통해서 생성한 M-진 Sidel'nikov 수열들 사이의 관계에 대해서 연구하였다. 이들의 자기상관 함수와 자기상관 분포가 유도되었으며 주어진 주기에 대해서 Sidel'nikov 수열들이 decimation과, 순회 shift, 그리고 상수 곱 하에서 동치라는 것을 증명하였다.

공간·지리적 자료의 공간자기상관성을 최소화하는 공간샘플링 기법에 관한 연구 (A study on the Spatial Sampling Method to Minimize Spatial Autocorrelation of Spatial and Geographical Data)

  • 이연수;이만출;나경범;강준모
    • 대한토목학회논문집
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    • 제34권4호
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    • pp.1317-1325
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    • 2014
  • 본 연구의 목적은 공간적 또는 지리적 데이터인 도시구조특성 요소의 공간자기상관성을 최소화 시킬 수 있는 공간샘플링 기법에 대해 제시하고자 한다. 연구의 주요결과와 시사점은 다음과 같다. 첫째, 공간적 또는 지리적 자료가 지니고 있는 공간자기상관성을 제거하기 위해서는 적절한 공간샘플링 방법을 사용하여야 한다는 점이다. 서울시 전체 행정구역별 대중교통 분담률에 관한 공간자기상관성을 측정한 결과 간 의존성이 상당히 높은 것으로 분석되었다. 하지만 적정한 거리(400m)이상을 이격 시켜 공간샘플링을 실시한 후 공간자기상관성이 제거됨을 확인하였다. 공간샘플링을 실시하지 않으면, 공간적 자료의 왜곡으로 인한 잘못된 결과가 도출되며, 이를 해결하기 위해서는 공간샘플링을 하여 표본을 추출하는 과정이 필수불가결 하다는 점이다. 둘째, 공간샘플링 전후의 대중교통 분담률에 영향을 미치는 도시공간구조 특성 요인이 달라진다는 점이다. 그러나 이는 공간적 자료에 존재하는 공간자기상관성을 통제하지 못한 왜곡된 결과이다.

A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea

  • Kim, Jun-Young
    • 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.

공간자기상관 지수와 Pearson 상관계수를 이용한 마산만 수질의 공간분포 패턴 규명 (Identifying Spatial Distribution Pattern of Water Quality in Masan Bay Using Spatial Autocorrelation Index and Pearson's r)

  • 최현우;박재문;김현욱;김영옥
    • 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.

국지적 공간자기상관통계를 이용한 도시녹지의 공간적 분포패턴에 관한 연구 (A Study on the Spatial Distribution Patterns of Urban Green Spaces Using Local Spatial Autocorrelation Statistics)

  • 김윤기
    • 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.

Landsat 열적외 영상자료를 활용한 대전시 열 환경 변화 모니터링 (Monitoring of Urban Thermal Environment Change in Daejun Using Landsat TIR Satellite Data)

  • 최진호;조현주;정환도
    • 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.