• 제목/요약/키워드: Spatial-Temporal Distribution Pattern

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해양환경 공간분포 패턴 분석을 위한 공간자기상관 적용 연구 - 광양만을 사례 지역으로 - (Application of Spatial Autocorrelation for the Spatial Distribution Pattern Analysis of Marine Environment - Case of Gwangyang Bay -)

  • 최현우;김계현;이철용
    • 한국지리정보학회지
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    • 제10권4호
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    • pp.60-74
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    • 2007
  • 해양환경의 시공간적 분포 패턴을 정량적으로 분석하기 위해 남해 광양만 해양환경 관측 자료를 이용하여 글로벌 및 국지적 공간자기상관 통계를 적용하였다. 연구지역 전체의 해양환경 분포 패턴을 이해하기 위해 Moran's I, General G와 같은 글로벌 공간자기상관 지수를 사용하였으며, 대상 피쳐(feature)와 이웃 피쳐들과의 유사성 정도를 측정하고 hot spot 및 cold spot을 탐지하기 위해 국지적 Moran's I ($I_i$), $G_i{^*}$와 같은 LISA(local indicators of spatial association)를 사용하였고, 공간 군집 패턴의 신뢰성은 Z-score를 통한 통계적 유의성 검증을 수행하였다. 공간 통계 결과를 통해 년 중 해양환경 공간분포 패턴의 변화를 정량적으로 알 수 있었는데, 일반 해양수질, 영양염, 클로로필 및 식물플랑크톤은 여름철에 강한 군집 패턴을 보였다. 글로벌 지수에서 강한 군집 패턴을 보였을 때 속성 값의 공간적인 변화가 심한 음적 $I_i$ 값을 가지는 전선지역이 탐지되었다. 또한, 글로벌 지수에서 임의적 패턴을 보였을 때 국지적 지수인 $G_i{^*}$에서는 좁은 지역에서 hot spot과(또는) cold spot이 탐지되었다. 따라서 글로벌 지수는 연구 지역 전체 군집 패턴의 강도와 시계열적 변화 과정 탐지에, 국지적 지수를 통해서는 hot spot과 cold spot 위치 추적에 유용함을 알 수 있었다. 해양환경 공간분포 패턴과 군집 특성을 정량화는 것은 해양환경을 보다 깊이 이해할 수 있도록 할 뿐 아니라, 패턴의 원인을 찾는데도 중요한 역할을 할 것이다.

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Temporal and spatial variations of vegetation in a riparian zone of South Korea

  • Park, Hyekyung;Kim, Jae Geun
    • Journal of Ecology and Environment
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    • 제44권2호
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    • pp.62-71
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    • 2020
  • Understanding vegetation structure and the relationship with environmental factors has been crucial for restoration and conservation of riparian zones. In this study, we conducted field survey in a riparian zone of Namhan River in South Korea both before and after flooding in order to understand temporal and spatial variations of riparian vegetation. There were significant temporal and spatial variations in species composition, and distribution patterns of vegetation were different along a gradient of elevation above the water level. At low elevation, Zizania latifolia was dominant throughout the field survey periods, and Bidens frondosa began to grow late and dominated both in post-flooding 1 and 2. Prior to flooding, Scirpus radicans and Polygonum thunbergii were widely distributed at middle elevation, while Artemisia vulgaris, Phragmites australis, and Miscanthus sacchariflorus were dominant at high elevation. After flooding, P. thunbergii was dominant at middle elevation with most other species decreasing, and more invasive or pioneer plants, including Artemisia princeps, H. scandens, and Sicyos angulatus, were observed at high elevation. Species composition and distribution patterns were homogeneous at low elevation, whereas dynamic variations of vegetation were observed both temporally and spatially at higher elevations. Elevation and distance from the water front were the most principal factors governing vegetation structure. Furthermore, soil physicochemical properties were also found to determine species composition and distribution patterns. These results indicate that vegetation structure in the riparian zones is formed by the combined effects of hydrological regime and soil physicochemical properties, inherent characteristics of species, and interspecific competition. Understanding of temporal and spatial variations of riparian vegetation may provide useful insights into ecological restoration and conservation of the vegetation within the riparian zones.

Spatio-temporal Semantic Features for Human Action Recognition

  • Liu, Jia;Wang, Xiaonian;Li, Tianyu;Yang, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권10호
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    • pp.2632-2649
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    • 2012
  • Most approaches to human action recognition is limited due to the use of simple action datasets under controlled environments or focus on excessively localized features without sufficiently exploring the spatio-temporal information. This paper proposed a framework for recognizing realistic human actions. Specifically, a new action representation is proposed based on computing a rich set of descriptors from keypoint trajectories. To obtain efficient and compact representations for actions, we develop a feature fusion method to combine spatial-temporal local motion descriptors by the movement of the camera which is detected by the distribution of spatio-temporal interest points in the clips. A new topic model called Markov Semantic Model is proposed for semantic feature selection which relies on the different kinds of dependencies between words produced by "syntactic " and "semantic" constraints. The informative features are selected collaboratively based on the different types of dependencies between words produced by short range and long range constraints. Building on the nonlinear SVMs, we validate this proposed hierarchical framework on several realistic action datasets.

Changes in $SO_{2}$ Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

  • Nguyen Hang Thi;Kim Ki-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • 제21권E3호
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    • pp.95-105
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    • 2005
  • The concentrations of sulfur dioxide ($SO_{2}$) were measured from seven major cities and nine provinces in Korea for the period covering 1998 to 2003. Its concentration data were analyzed to explore the possible influences of spatial and temporal factors on the $SO_{2}$ distribution characteristics. Examination of spatial trends of $SO_{2}$ distribution and behavior indicated several interesting features. Although its annual trends appeared to be affected by the changes in the surrounding environmental conditions (e.g., regulation on the use of S-containing fuels), the seasonal trends indicated a cyclic and systematic pattern that may be characterized as: a gradual decrease in concentrations across winter, spring, fall, and summer. The results showed the generally enhanced mean concentrations of $SO_{2}$ from Ulsan, Busan, and Daegu with 12.8, 10.1, and 8.80 ppb, respectively. On the other hand, notably reduced $SO_{2}$ concentrations were seen from Gwangju and Jeju sites with its mean values of 5.43 and 3.88 ppb, respectively. The overall results of our study indicate that a decrease in $SO_{2}$ concentration levels continued through time, while its spatial distribution appears to be affected most sensitively by such factor as city scale and industrial activities.

시공간 대표성을 고려한 토양수분 모니터링 System의 구축 및 운영 (Establishment and Operation of a Soil Moisture Monitoring System Considering Temporal and Spatial Features of Representation)

  • 김기훈;김상현;김형섭;김원
    • 한국수자원학회논문집
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    • 제38권1호
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    • pp.73-82
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    • 2005
  • 국내산지사면의 토양수분 시공간적 분포상황을 파악하기 위한 토양수분 측정법을 개발하였다. 대상유역을 정밀 측량하여 수치고도모형을 구성한 다음 흐름분배 알고리즘을 적용하였고 역측랑을 통한 대상 유역의 흐름분배 알고리즘의 유의성을 판단하였다. 이를 통한 공간적 변화의 대표성을 최대화하기 위한 장기 모니터링 시스템을 구축하였으며, 토양수분의 정확한 측정을 위해 TDR(Time Domain Reflectometry)을 이용하였다. 측정은 설마천 유역의 범륜사 우측사면에서 수행되었다. 강우사상에 의한 시공간적 토양수분의 변화 자료를 성공적으로 획득하였다. 획득된 토양수분자료는 측정시스템의 효용성과 사면유출의 과정에 대한 물리적인 과정을 나타낸다. 불연속적인 토양수분의 연직분포 양상은 사면 수문과정에서 선행흐름이나 대공극 흐름의 중요성을 의미한다.

은줄팔랑나비 개체군의 서식지 내 분포특성 (Distribution Characteristics in the Habitat of Leptalina unicolor Population)

  • 홍성진;윤춘식;정선우
    • 한국환경과학회지
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    • 제28권12호
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    • pp.1123-1131
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    • 2019
  • In this study, we investigated the spatial range, distribution pattern, temporal appearance, sex ratio, seasonal pattern, and size of the population of Leptalina unicolor locally inhabiting the wetland protection area in the Jaeyaksan Mountain. We found that the butterfly was distributed across four areas at 750 m above sea level and in an area of 96,000 ㎡. in the southeastern slope of the mountain. The discontinuous distribution of the butterflies in the meadow. According to our survey conducted from 2012 to 2014, L. unicolor occurred in May (spring) and July (summer) each year, with the male population more than three times higher than that of the female population. The population size estimated using the mark and recapture method on the back of the hind wing in the two years was as follows: 877±502 and 1243±800 individuals in the spring and summer of 2012, respectively, and 783±429 and 506±365 individuals in the spring and summer of 2014, respectively, suggesting no specific seasonal pattern. The findings of this study are expected to be useful for the conservation of the populations and habitats of L. unicolor, which are currently distributed locally due to a decrease in population size.

Spatio-temporal Distribution Pattern of New Biotypes of Weedy Rice (Oryza sativa L.) in Selangor North-West Project, Malaysia

  • Baki, B.B.;M.M., Shakirin
    • 한국잡초학회지
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    • 제30권2호
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    • pp.68-83
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    • 2010
  • Weedy rice (Oryza sativa L.) occurred sympatrically with other weeds and the rice crop in Malaysian rice granaries. We conducted field surveys in 2006-2008 seasons in 7 farm blocks of Selangor's North West Project, Malaysia to enlist the new biotypes of weedy rice (NBWR) and assess their spatio-temporal pattern of distribution based on quantitative and dispersion indices. No less than 16 accessions of NBWR were identified based on their special traits, viz. panicle type, pericarp colour, presence or absence of awn, seed type and degree of grain shattering. The NBWR accessions exhibited a combination of morphological traits from open panicle, grain with awns, red pericarp, short grain type, and degrees of grain shattering. Others mimic commercial rices with close panicle, awnless grains, white pericarp, long or short grain-type. Invariably, the NBWRs mimic and stand as tall as cultivated rice namely MR219, MR220, or MR235 and these NBWR accessions stand among equals morphologically vis-a-vis the commercial rice varieties. Most accessions displayed varying degrees of grain shattering in excess of 50%, except Acc9 and Acc12. The seasonal dynamics of on the prevalence of dominant NBWR accessions were also displaying significant differences among farm blocks. While Bagan Terap farm block, for example, did not record any measurable changes in the dominant NBWR accessions over seasons, the Sungai Leman farm block recorded measurable season-mediated changes in the dominant NBWR accessions. Sungai Leman started with NBWR Acc3, Acc4, Acc5, Acc7, Acc8, and Acc12 in season 1 of 2006/2007, but no measurable records of Acc3 and Acc5 were shown in season 2 of 2007. In season 3 of 2007/2008, only Acc8 and Acc12 prevailed in the farm block. In Sawah Sempadan farm block, season 3 of 2007/2008 showed much reduced prevalence of NBWRs leaving only Acc8 and Acc12. Most accessions registered clump or under-dispersed spatial distribution pattern based on quantitative indices: variance-to-mean ratio (VMR) and Lloyd's patchiness values. The dynamics on the extent of infestation and prevalence of dominant NBWR accessions registered both season- and farm-block mediated differences. Most accessions showed VMR >1 thus indicative of having a clump or clustered spatial distribution, as exemplified by Acc3, Acc4, Acc7, Acc8 and Acc12 in all farm blocks throughout three seasons. Some accessions have either random or uniform distribution in a few farm blocks. The Acc8 has the highest population counts based on important value index, followed by Acc12, and both were the most dominant accession while Sawah Sempadan was the worst farm block infested by NBWR compared to other farm blocks. These results were discussed in relation with the current agronomic and weed management practices, water availability and extension services in the granary.

A GEOSENSOR FILTER FOR PROCESSING GEOSENSOR QUERIES ON DATA STREAMS

  • Lee, Dong-Gyu;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.119-121
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    • 2008
  • Pattern matching is increasingly being employed in various researches as health care service, RFID-based system, facility management, and surveillance. Geosensor filter correlates a data stream to match specific patterns in distribution environments. In this paper, we present a geosensor query language to represent efficiently declarative geosensor query. Geosensor operators are proposed to use for fast query processing in terms of spatial and temporal area in distribution environments. We also propose a geosensor filter to match new query predicates into incoming stream predicates. Our filter can reduce the volume of transmission data and save power consumption of sensors. It can be utilized the stream data mining system to process in real-time various data as location, time, and geosensor information in distribution environments.

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소규모 감귤원에서 네눈쑥가지나방 유충의 공간분포 특성에 대한 이해 (Spatial Distribution Pattern of Ascotis selenaria (Lepidoptera: Geometridae) larvae in a Small-Scale of Citrus Orchard)

  • 최경산;김동순
    • 한국응용곤충학회지
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    • 제52권3호
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    • pp.243-248
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    • 2013
  • 본 연구는 네눈쑥가지나방 유충의 공간분포 특성을 분석하여 산란처와 관련된 유충의 감귤원 내로 정착과정을 이해하고자 실시하였다. 노지와 하우스 모두 감귤나무에서는 알이 발견되지 않았고, 부지화 시설재배 하우스의 방충망에서 발견되었다. 시설재배 부지화에서 네눈쑥가지나방 유충은 통계적으로 유의하게 집중분포를 보였다. 온주밀감 노지재배원에서 분산지수(ID)는 전체적으로 1.0내외로 약한 집중 정도를 나타냈다. 하지만, 검정통계량인 d-값은 대부분 조사일에 -1.96에서 1.96 사이에 있어 임의분포가 통계적으로 유의하였다. 집중정도를 나타내는 GI 지수는 전체적으로 낮아 집중정도가 약하였으며, 집중분포로 검정된 경우에도 집중정도는 크지 않았다. 네눈쑥가지나방 유충수의 빈도분포는 포아송(임의분포)과 음이항 분포(집중분포)를 동시 만족시키는 경우가 많았다. 또한 유충 공간분포의 시간적 변화는 초기 정착지점에서 분산하는 양상이 아니라 무작위로 외부로부터 비산하여 새로 정착되는 양상을 보였다. 기타 시설과 노지감귤원에서 네눈쑥가지나방 유충 공간분포 양상의 차이에 대하여 고찰하였다.

Epiphytic macrolichens in Seoul: 35 years after the first lichen study in Korea

  • Ahn, Cho-Rong;Chang, Eun-Mi;Kang, Hye-Soon
    • Journal of Ecology and Environment
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    • 제34권4호
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    • pp.381-391
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    • 2011
  • Many lichens have been used as bioindicators for air pollutants such as $SO_2$. The first ecological study on lichens in Korea was conducted in 1975 by Kim and Lee, disclosing that areas adjacent to the center of Seoul were lichen deserts. Air quality in Seoul has improved significantly since the 1980s. However, the distribution of lichen species has not been reevaluated since then. We examined the spatial and temporal pattern of lichen distribution by selecting six (inner city green [ICG] and four (outer city green [OCG]) sites, based on the distance from the city center of Seoul and the land use pattern. The change in lichen distribution was related to yearly mean concentrations of $SO_2$, $NO_2$, and $O_3$ for the years 1980-2009. Four and 13 lichen species were found in ICGs and OCGs, respectively. Although mean sample numbers per species were much higher in the former, species richness tended to increase with distance from the city center. Since 1980, $SO_2$ has declined drastically to < 0.01 ppm in both ICGs and OCGs, indicating that $SO_2$ is no longer a limiting factor for lichen establishment and growth. In contrast, $NO_2$ has increased steadily for 20 years (1989-2009) and a considerable proportion of lichen species in both ICGs and OCGs are known as nitrophilic or pollution-tolerant species. Appearance of nitrophiles in both ICGs and OCGs and the dominance of a few lichen species in ICGs may reflect the effects of the increase in $NO_2$. In contrast to $SO_2$ and $NO_2$, $O_3$ was higher in OCGs, but it was difficult to identify a causal relationship between $O_3$ and lichen distribution.