• Title/Summary/Keyword: spatio-temporal data analysis

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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.

A Spatial-Temporal Correlation Analysis of Housing Prices in Busan Using SpVAR and GSTAR (SpVAR(공간적 벡터자기회귀모델)과 GSTAR(일반화 시공간자기회귀모델)를 이용한 부산지역 주택가격의 시공간적 상관성 분석)

  • Kwon, Youngwoo;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.44 no.2
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    • pp.245-256
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    • 2024
  • Since 2020, quantitative easing and easy money policies have been implemented for the purpose of economic stimulus. As a result, real estate prices have skyrocketed. In this study, the relationship between sales and rental prices by housing type during the period of soaring real estate prices in Busan was analyzed spatio-temporally. Based on the actual transaction price data, housing type, transaction type, and monthly data of district units were constructed. Among the spatio-temporal analysis models, the SpVAR, which is used to understand the temporal and spatial effects of variables, and the GSTAR, which is used to understand the effects of each region on those variables, were used. As a result, the sales price of apartment had positive effect on the sale price of apartment, row house, and detached house in the surrounding area, including the target area. On the other hand, it was confirmed that demand was converted to apartment rental due to an increase in apartment sales prices, and the sale price fell again over time. The spatio-temporal spillover effect of apartments was positive, but the positive effect of row house and detached house were concentrated in the original downtown area.

A Comparison of Gait Characteristics between Korean and Western Young People (한국인과 서구인 청년층의 보행특성 비교)

  • Im, Wan-Su;Choe, Hwa-Sun;Jeong, Min-Geun;Ryu, Tae-Beom;Choe, Hun-U
    • Journal of the Ergonomics Society of Korea
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    • v.25 no.2
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    • pp.33-42
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    • 2006
  • It is important to analyze the characteristics of normal gait in clinical and biomechanical aspects. Although gait characteristics can be varied by anthropometric, racial and cultural factors, normal gait studies have been performed mostly for Western people. The present study conducted a gait analysis for Korean young adults and compared the gait characteristics with those of Western people for the establishment of Korean normal gait data. A total of thirty-two adults in twenties(20 males and 12 females) were participated in the gait experiment and their spatio-temporal and kinematic/kinetic gait characteristics were analyzed. The comparison of the gait characteristics between Korean and Western people, revealed that the stride length and walking speed of Korean were significantly smaller than those of Western people by 0.1~0.3m and 0.15~0.40m/s respectively. And the knee abduction moment of Korean was larger than that of Western people, while the other moments(such as hip flexion/extension moments, abduction/adduction moments, and knee flexion/extension moments) were smaller than those of Western people. The ranges of joint angles between the gait studies were largely different with each other, but most of motion patterns and excursions were similar.

Statistical Analysis of the Spatio-temporal Water Quality Characteristics of the Nakdong River (낙동강수계 수질의 시·공간적 특성에 대한 통계학적 분석)

  • Seo, Mijin;Cho, Changdae;Im, Taehyo;Kim, Sanghun;Yoon, Hyunjeong;Kim, Yongseok;Kim, Gyeonghoon
    • Journal of Environmental Science International
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    • v.28 no.3
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    • pp.303-320
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    • 2019
  • Water quality is characterized by various complex factors. Therefore, a systematic understanding of water quality trends is required to carry out a proper evaluation. In this study, we analyzed the spatio-temporal water quality characteristics of the Nakdong River using five-year data from 2012 to 2016. Data was collected on the pH, DO, BOD, COD, SS, TN, TP, TOC, WT, EC, $NH_3-N$, $NO_3-N$, $PO_4-P$, Chl-a, rainfall, and total and fecal coliforms. A total of 38 water quality measurement stations, from Andong1 to Gupo, were considered. Statistical analyses including trend, cluster, and factor analyses were conducted to identify the dominant water quality components affecting the Nakdong River. The Nakdong River was spatially classified into three groups for up-stream (Andong1 to Sangju1), mid/up-stream (Donam to Dalseong), and mid/down-stream (Hwawonnaru to Gupo) data collection, and temporally into two groups for summer/fall (7~10), and the rest of the season (11~6) data. The water quality of the entire Nakdong River showed trends similar to the mid/down-stream section, which indicates the importance of water quality management in this section. Suspended solids, phosphorus, and coliform groups were established as important factors to be considered in the summer/fall season across the river, especially in the mid/down-stream section. Nitrogen and organic matter were identified as important factors to be considered in the rest of the season, especially in the mid/up-stream section. This study could help determine the water quality components that should be intensively monitored in the Nakdong River.

Analysis of Watershed Runoff and Sediment Characteristics due to Spatio-Temporal Change in Land Uses Using SWAT Model (SWAT 모형을 이용한 시.공간적 토지 이용변화에 따른 유량 및 유사량 특성분석)

  • Shin, Yong-Chul;Lim, Kyoung-Jae;Kim, Ki-Sung;Choi, Joong-Dae
    • KCID journal
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    • v.14 no.1
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    • pp.50-56
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    • 2007
  • In this study, the Soil and Water Assessment Tool (SWAT) model was used to assess spatiotemporal effects on watershed runoff and sediment characteristics due to land uses changes from 1999 to 2002 at the small watershed, located in Chuncheon-si, Gangwon province. The annual average flow rate of Scenario I (long-term simulation using land use of 1990), II (long-term simulation using land use of 1996), III(long-term simulation using land use of 200) and IV(simulation using land use of 1990, 1995, and 2000) in long-term simulation) using the SWAT model were 29,997,043 m3, 29,992,628 m3, 29,811,191 m3 and 29,931,238 m3, respectively. It was shown that there was no significant changes in estimated flow rate because no significant changes in land uses between 1990 and 2000 were observed. The annual average sediment loads of Scenarios I, II, III and IV for 15 year period were 36,643 kg/ha, 45,340 kg/ha , 27,195 kg/ha and 35,545 kg/ha, respectively. The estimated annual sediment loads from Scenarios I, II, and III, were different from that from the scenario IV, considering spatio-temporal changes in land use and meterological changes over the years, by 10%, 127%, and temporal changes in land use and meterological changes over the years, by 10%, 127%, and 77%. This can be explained in land use changes in high soil erosion potential areas, such as upland areas, within the study watershed. The comparison indicates that changes in land uses upland areas, within the study watershed. The comparison indicates that changes in land uses can affect on sediment yields by more than 10%, which could exceed the safety factor of 10% in Total Maximum Daily Loads (TMDLs). It is, therefore, recommended that not only the temporal analysis with the weather input data but also spatial one with different land uses need to be considered in long-term hydrology and sediment simulating using the SWAT model

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Spatio-temporal Distribution of Suicide Risk in Iran: A Bayesian Hierarchical Analysis of Repeated Cross-sectional Data

  • Nazari, Seyed Saeed Hashemi;Mansori, Kamyar;Kangavari, Hajar Nazari;Shojaei, Ahmad;Arsang-Jang, Shahram
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.2
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    • pp.164-172
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    • 2022
  • Objectives: We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016. Methods: In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used. Results: The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran's provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years. Conclusions: The highest risk of suicide mortality was observed in Iran's northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.

An Object-Based Verification Method for Microscale Weather Analysis Module: Application to a Wind Speed Forecasting Model for the Korean Peninsula (미기상해석모듈 출력물의 정확성에 대한 객체기반 검증법: 한반도 풍속예측모형의 정확성 검증에의 응용)

  • Kim, Hea-Jung;Kwak, Hwa-Ryun;Kim, Sang-il;Choi, Young-Jean
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1275-1288
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    • 2015
  • A microscale weather analysis module (about 1km or less) is a microscale numerical weather prediction model designed for operational forecasting and atmospheric research needs such as radiant energy, thermal energy, and humidity. The accuracy of the module is directly related to the usefulness and quality of real-time microscale weather information service in the metropolitan area. This paper suggests an object based verification method useful for spatio-temporal evaluation of the accuracy of the microscale weather analysis module. The method is a graphical method comprised of three steps that constructs a lattice field of evaluation statistics, merges and identifies objects, and evaluates the accuracy of the module. We develop lattice fields using various evaluation spatio-temporal statistics as well as an efficient object identification algorithm that conducts convolution, masking, and merging operations to the lattice fields. A real data application demonstrates the utility of the verification method.

Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data (BGP 네트워크 데이터 내의 이상징후 감지를 위한 인터랙티브 시각화 분석 기법)

  • Choi, So-mi;Kim, Son-yong;Lee, Jae-yeon;Kauh, Jang-hyuk;Kwon, Koo-hyung;Choo, Jae-gul
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.135-143
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    • 2022
  • As the world has implemented social distancing and telecommuting due to the spread of COVID-19, real-time streaming sessions based on routing protocols have increased dependence on the Internet due to the activation of video and voice-related content services and cloud computing. BGP is the most widely used routing protocol, and although many studies continue to improve security, there is a lack of visual analysis to determine the real-time nature of analysis and the mis-detection of algorithms. In this paper, we analyze BGP data, which are powdered as normal and abnormal, on a real-world basis, using an anomaly detection algorithm that combines statistical and post-processing statistical techniques with Rule-based techniques. In addition, we present an interactive spatio-temporal analysis plan as an intuitive visualization plan and analysis result of the algorithm with a map and Sankey Chart-based visualization technique.

Utilization of Database in 3D Visualization of Remotely Sensed Data (원격탐사 영상의 3D 시각화와 데이터베이스의 활용)

  • Jung, Myung-Hee;Yun, Eui-Jung
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.3
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    • pp.40-46
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    • 2008
  • 3D visualization of geological environments using remotely sensed data and the various sources of data provides new methodology to interpret geological observation data and analyze geo-information in earth science applications. It enables to understand spatio-temporal relationships and causal processes in the three-dimension, which would be difficult to identify without 3D representation. To build more realistic geological environments, which are useful to recognize spatial characteristics and relationships of geological objects, 3D modeling, topological analysis, and database should be coupled and taken into consideration for an integrated configuration of the system. In this study, a method for 3D visualization, extraction of geological data, storage and data management using remotely sensed data is proposed with the goal of providing a methodology to utilize dynamic spatio-temporal modeling and simulation in the three-dimension for geoscience and earth science applications.

Estimating Spatio-Temporal Distribution of Climate Factors in Andong Dam Basin (안동댐 유역 기상인자의 시공간분포 추정)

  • Lim, Chul Hee;Moon, Joo Yeon;Lim, Yoon Jin;Kim, Sea Jin;Lee, Woo Kyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.4
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    • pp.57-65
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    • 2015
  • This study investigates characteristics of time series spatial distribution on climate factors in Andong Dam basin by estimating precise spatio-temporal distribution of hydro-meteorological information. A spatio-temporal distribution by estimating Semi-Variogram based on spatial autocorrelation was examined using the data from ASOS and 7 hydro-meteorological observatories in Andong Dam basin of upper Nakdonggang River, which were installed and observed by NIMR(National Institute of Meterological Research). Also, temperature and humidity as climate variables were analyzed and it was recognized that there is a variability in watershed area by time and months. Regardless of season, an equal spatial distribution of temperature at 14 o'clock and humidity at 10 o'clock was identified, and nonequal distribution was noticed for both variables at 18 o'clock. From monthly spatial analysis, the most unequal distribution of temperature was seen in January, and the most equal distribution was detected in September. The most unequal distribution of humidity was identified in May, and the most equal distribution was seen in January. Unlike in forest, seasonal spatial distribution characteristics were less apparent;but temperature and humidity had respective characteristics in hydro-meteorology.