• Title/Summary/Keyword: spatiotemporal characteristics

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Analysis of public library book loan demand according to weather conditions using machine learning (머신러닝을 활용한 기상조건에 따른 공공도서관 도서대출 수요분석)

  • Oh, Min-Ki;Kim, Keun-Wook;Shin, Se-Young;Lee, Jin-Myeong;Jang, Won-Jun
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.41-52
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    • 2022
  • Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.

Research on the Development of Distance Metrics for the Clustering of Vessel Trajectories in Korean Coastal Waters (국내 연안 해역 선박 항적 군집화를 위한 항적 간 거리 척도 개발 연구)

  • Seungju Lee;Wonhee Lee;Ji Hong Min;Deuk Jae Cho;Hyunwoo Park
    • Journal of Navigation and Port Research
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    • v.47 no.6
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    • pp.367-375
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    • 2023
  • This study developed a new distance metric for vessel trajectories, applicable to marine traffic control services in the Korean coastal waters. The proposed metric is designed through the weighted summation of the traditional Hausdorff distance, which measures the similarity between spatiotemporal data and incorporates the differences in the average Speed Over Ground (SOG) and the variance in Course Over Ground (COG) between two trajectories. To validate the effectiveness of this new metric, a comparative analysis was conducted using the actual Automatic Identification System (AIS) trajectory data, in conjunction with an agglomerative clustering algorithm. Data visualizations were used to confirm that the results of trajectory clustering, with the new metric, reflect geographical distances and the distribution of vessel behavioral characteristics more accurately, than conventional metrics such as the Hausdorff distance and Dynamic Time Warping distance. Quantitatively, based on the Davies-Bouldin index, the clustering results were found to be superior or comparable and demonstrated exceptional efficiency in computational distance calculation.

Analysis of blue carbon storage research trends and consideration for definitions of blue carbon: A review (블루카본 저장 연구 동향 분석 및 블루카본의 정의에 대한 고찰: 리뷰)

  • Kyeong-deok Park;Dong-hwan Kang;Won Gi Jo;Jun-Ho Lee;Hoi Soo Jung;Man Deok Seo;Byung-Woo Kim
    • Journal of Wetlands Research
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    • v.26 no.1
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    • pp.82-91
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    • 2024
  • In this study, research cases related to blue carbon storage were collected and analyzed, and various definitions of blue carbon were considered in terms of spatiotemporal scope and scientific aspect. 444 papers were selected as research cases related to blue carbon storage, and analysis of the number of papers published by year/country and keywords was performed. Publication of papers related to blue carbon storage has continued to increase since 2011, and more than 50 papers have been published annually since 2018. The most publications by country were in Australia with more than 100 papers, and the United States and China also published more than 60 papers. Key terms related to "natural environment" and "storage characteristics" were analyzed in the sentences defined in the 23 papers that presented the definition of blue carbon. The natural environments where blue carbon was stored were mostly mangroves, salt marshes, and seagrass beds, and blue carbon repository included sediments and even plants themselves. The existing definition of blue carbon focused on the vegetation environment as the storage environment for blue carbon. However, since blue carbon is stored in the sediments of coastal wetlands, it would be appropriate to define the coastal ecosystem, including non-vegetated mudflats, as the storage environment for blue carbon.

Evaluation of Water Quality Characteristics of Saemangeum Lake Using Statistical Analysis (통계분석을 이용한 새만금호의 수질특성 평가)

  • Jong Gu Kim
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.4
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    • pp.297-306
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    • 2023
  • Saemangeum Lake is the largest artificial lake in Korea. The continuous deterioration of lake water quality necessitates the introduction of novel water quality management strategies. Therefore, this study aims to identify the spatiotemporal water quality characteristics of Saemangeum Lake using data from the National Water Quality Measurement Network and provide basic information for water quality management. In the water quality parameters of Saemangeum Lake, water temperature and total phosphorous content were correlated, and salt, total nitrogen content, pH, and chemical oxygen demand were significantly correlated. Other parameters showed a low correlation. The spatial principal component analysis of Saemangeum Lake showed the characteristics of its four zones. The mid-to-downstream section of the river affected by freshwater inflow showed a high nutrient salt concentration, and the deep-water section of the drainage gate and the lake affected by seawater showed a high salt concentration. Two types of water qualities were observed in the intermediate water area where river water and outer sea water were mixed: waters with relatively low salt and high chemical oxygen demand, and waters with relatively low salt and high pH concentration. In the principal component analysis by time, the water quality was divided into four groups based on the observation month. Group I occurred during May and June in late spring and early summer, Group II was in early spring (March-April) and late autumn (November-December), Group III was in winter (January-February), and Group IV was in summer (July-October) during high temperatures. The water quality characteristics of Saemangeum Lake were found to be affected by the inflow of the upper Mangyeong and Dongjin rivers, and the seawater through the Garuk and Shinshi gates installed in the Saemangeum Embankment. In order to achieve the target water quality of Saemangeum Lake, it is necessary to establish water quality management measures for Saemangeum Lake along with pollution source management measures in the upper basin.

A Suggestion for Spatiotemporal Analysis Model of Complaints on Officially Assessed Land Price by Big Data Mining (빅데이터 마이닝에 의한 공시지가 민원의 시공간적 분석모델 제시)

  • Cho, Tae In;Choi, Byoung Gil;Na, Young Woo;Moon, Young Seob;Kim, Se Hun
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.2
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    • pp.79-98
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    • 2018
  • The purpose of this study is to suggest a model analysing spatio-temporal characteristics of the civil complaints for the officially assessed land price based on big data mining. Specifically, in this study, the underlying reasons for the civil complaints were found from the spatio-temporal perspectives, rather than the institutional factors, and a model was suggested monitoring a trend of the occurrence of such complaints. The official documents of 6,481 civil complaints for the officially assessed land price in the district of Jung-gu of Incheon Metropolitan City over the period from 2006 to 2015 along with their temporal and spatial poperties were collected and used for the analysis. Frequencies of major key words were examined by using a text mining method. Correlations among mafor key words were studied through the social network analysis. By calculating term frequency(TF) and term frequency-inverse document frequency(TF-IDF), which correspond to the weighted value of key words, I identified the major key words for the occurrence of the civil complaint for the officially assessed land price. Then the spatio-temporal characteristics of the civil complaints were examined by analysing hot spot based on the statistics of Getis-Ord $Gi^*$. It was found that the characteristic of civil complaints for the officially assessed land price were changing, forming a cluster that is linked spatio-temporally. Using text mining and social network analysis method, we could find out that the occurrence reason of civil complaints for the officially assessed land price could be identified quantitatively based on natural language. TF and TF-IDF, the weighted averages of key words, can be used as main explanatory variables to analyze spatio-temporal characteristics of civil complaints for the officially assessed land price since these statistics are different over time across different regions.

Characteristics of Diurnal Variation of High PM2.5 Concentration by Spatio-Temporal Wind System in Busan, Korea (시·공간적 풍계에 따른 부산지역 고농도 PM2.5의 일변화 특성)

  • Kim, Bu-Kyung;Lee, Dong-In;Kim, Jeong-Chang;Lee, Jun-Ho
    • Journal of the Korean earth science society
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    • v.33 no.6
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    • pp.469-480
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    • 2012
  • This study was to analyze the characteristics of diurnal variation of high $PM_{2.5}$ concentration, $PM_{2.5}/PM_{10}$ concentration ratio by spatio-temporal wind system (wind speed and wind direction) for high $PM_{2.5}$ concentration (over the 24 hr environmental standard of $PM_{2.5}$, $50{\mu}g/m^3$) in the air quality observation sites (Jangrimdong: Industrial area, Jwadong: Residential area) that were measured for 3 years (2005. 12. 1-2008. 11. 30) in Busan. The observation days of high $PM_{2.5}$ concentration were 182 at Jangrimdong and 27 at Jwadong. The seasonal diurnal variation of hourly mean of high $PM_{2.5}$ concentration and of $PM_{2.5}/PM_{10}$ concentration ratio showed a similar pattern that had higher variation at dawn, and night and in the morning than in the afternoon. Durning daytime in summer at Jwadong, the $PM_{2.5}/PM_{10}$ concentration ratio increased because a secondary particulate matter, which was created by photochemical reaction, decreased the coarse particles of $PM_{10}$ more than the fine particles of $PM_{2.5}$ concentrations in ocean condition. We did an analysis of spatio-temporal wind system (wind speed range and wind direction) in each time zone. The result showed that high $PM_{2.5}$ concentration at Jangrimdong occurred due to the congestion of pollutants emissions from the industrial complex in Jangrimdong area and the transportation of pollutants from places nearby Jangrimdong. It also showed that high $PM_{2.5}$ concentration occurred at Jwadong because of a number of local residential and commercial activities that caused the congestion of pollutants.

The relation of Creating Actor's Aura and Conscious Liminality of Acting - a conceptual understanding as a searching process for materiality - (연기의 기술적, 의식적 리미널리티(liminality)와 배우의 아우라의 상관성 - 물질성 탐색의 한 과정으로서의 개념적 이해 -)

  • Kwon, Kyoung-Hee
    • Journal of Korean Theatre Studies Association
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    • no.53
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    • pp.31-56
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    • 2014
  • If we define theatre as an infinite tower piled up by smoke, the strata of the organic composition of an actor's/actress' body-mind-spirit, may not only be complicatedly worked out, but it seems to belong to a non-scientific realm. However and at the same time, it is also true that the audience is eager to witness a certain kind of specific vitality from the actor/actress on stage. Of course the vitality is hard to be prescribed. Simply we call it a texture of energy, nuance of existence, or much simpler, an actor's/actress' 'aura'. That is, the existential nuance of the actor/actress. The nuance, which is surging from the actor's/actress' authentic presence, ultimately comes out of, not the circumstantial interpretation of the production but the power of its integration. We can find from the works of Meyerhold, Grotowsky and Barba the theatrical fact that the actor's aura can be obtained by a kind of artificiality rather than innate characteristics of existence. These directors commonly regard theatre as the actor's/actress' theatre. Respectively choosing his own specific methods of expression, they unexpectedly meet in a same spot in which actor's/actress' theatre can be realized by the rediscovery of the actor's/actress's body-form. In other words, their approaching methods to theatre look alike, at least in that abandoning reserving any natural, unconscious, economic body-form of an actor/actress, they rather try to discover a certain kind of 'technical' body-form. The form which is totally non/un-conscious, unfamiliar and non-economical. Their research process explores an ideal body-form, and this thesis focuses on this point. For this work, I bring the notion of 'liminality' that connotes the praxis for essential presence of the actor/actress as well as the incubating time and space nacessary for his/her rebirth. And for developing this work, I ask: Could not the actor's/actress' consciousness and the spatiotemporal dimensions (s)he meets, be possibly defined as the core of liminality, only in case that (s)he requires them in the process of, either exploring the unfamiliar body or familiarising with the unfamiliar body-form? As I mentioned above, the three frontiers' theatrical journey is similar in part. For example, three all start from the actor's/actress' consciousness and then go through the body enlarged with it. Then they continue their journey, but different from one another. Meyerhold still uses the conscious body. But now he transforms it into a kind of mobilized sculptures. In comparison with Meyerhold's use of the consciousness, Grotowsky puts his emphasis on an autonomous body which, if necessary, cast away even the innate consciousness. Likewise, to Barba, theatre always starts from the actor/actress who has already taken off all kinds of conventions. (Conventions should be re-designed!) The actor/actress therefore recreates him/herself as his/her body-mind wears a new, unfamiliar, readjusted form and vitality. And then this restructured body-mind may unceasingly aim at exploring its vitalized 'positive organism', that is the waves of self-centering energy, an existential nuance, and an authentic (or maybe behavioral) expressiveness. Now it seems clear that the liminal process for the frontiers' theatrical journey could be equalized as a profound process of self-penetration, self-transformation, and self-realization. This thesis explores the mystic realm of liminality.

Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning (다종 위성자료와 기계학습을 이용한 고해상도 표층 염분 추정)

  • Sung, Taejun;Sim, Seongmun;Jang, Eunna;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.747-763
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    • 2022
  • Ocean salinity affects ocean circulation on a global scale and low salinity water around coastal areas often has an impact on aquaculture and fisheries. Microwave satellite sensors (e.g., Soil Moisture Active Passive [SMAP]) have provided sea surface salinity (SSS) based on the dielectric characteristics of water associated with SSS and sea surface temperature (SST). In this study, a Light Gradient Boosting Machine (LGBM)-based model for generating high resolution SSS from Geostationary Ocean Color Imager (GOCI) data was proposed, having machine learning-based improved SMAP SSS by Jang et al. (2022) as reference data (SMAP SSS (Jang)). Three schemes with different input variables were tested, and scheme 3 with all variables including Multi-scale Ultra-high Resolution SST yielded the best performance (coefficient of determination = 0.60, root mean square error = 0.91 psu). The proposed LGBM-based GOCI SSS had a similar spatiotemporal pattern with SMAP SSS (Jang), with much higher spatial resolution even in coastal areas, where SMAP SSS (Jang) was not available. In addition, when tested for the great flood occurred in Southern China in August 2020, GOCI SSS well simulated the spatial and temporal change of Changjiang Diluted Water. This research provided a potential that optical satellite data can be used to generate high resolution SSS associated with the improved microwave-based SSS especially in coastal areas.