scholarly journals G-STC-M Spatio-Temporal Analysis Method for Archaeological Sites

2021 ◽  
Vol 10 (5) ◽  
pp. 312
Author(s):  
Jing Cui ◽  
Yanrong Liu ◽  
Junling Sun ◽  
Di Hu ◽  
Handong He
Keyword(s):  
Qing Dynasty ◽  
Tang Dynasty ◽  
Temporal Analysis ◽  
Space Time ◽  
Test Method ◽  
Archaeological Sites ◽  
Trend Test ◽  
Analysis Method ◽  
The Qing Dynasty ◽  
Spatio Temporal

Based on the significant hotspots analysis method (Getis-Ord Gi* significance statistics), space-time cube model (STC) and the Mann–Kendall trend test method, this paper proposes a G-STC-M spatio-temporal analysis method based on Archaeological Sites. This method can integrate spatio-temporal data variable analysis and the space-time cube model to explore the spatio-temporal distribution of Archaeological Sites. The G-STC-M method was used to conduct time slice analysis on the data of Archaeological Sites in the study area, and the spatio-temporal variation characteristics of Archaeological Sites in East China from the Tang Dynasty to the Qing Dynasty were discussed. The distribution of Archaeological Sites has temporal hotspots and spatial hotspots. Temporally, the distribution of Archaeological Sites showed a gradual increasing trend, and the number of Archaeological Sites reached the maximum in the Qing Dynasty. Spatially, the hotspots of Archaeological Sites are mainly distributed in Jiangsu (30°~33° N, 118°~121° E) and Anhui (29°~31° N, 117°~119° E) and the central region of Zhejiang (28°~31° N, 118°~121° E). Temporally and spatially, the distribution of Archaeological Sites is mainly centered in Shanghai (30°~32° N, 121°~122° E), spreading to the southern region.

scholarly journals MULTI-DIMENSIONAL ERROR ANALYSIS OF NEARSHORE WAVE MODELING TOOLS, WITH APPLICATION TOWARD DATA-DRIVEN BOUNDARY CORRECTION

2011 ◽  
Vol 1 (32) ◽  
pp. 67
Author(s):  
Boyang Jiang ◽  
James Kaihatu
Keyword(s):  
Boundary Conditions ◽  
Initial Boundary ◽  
Temporal Analysis ◽  
Analysis Method ◽  
Modeling Tools ◽  
Dimensional Error ◽  
Lateral Boundary Conditions ◽  
Boundary Information ◽  
The Subject ◽  
Spatio Temporal

As the forecasting models become more sophisticated in their physics and possible depictions of the nearshore hydrodynamics, they also become increasingly sensitive to errors in the inputs, such as errors in the specification of boundary information (lateral boundary conditions, initial boundary conditions, etc). Evaluation of the errors on the boundary is less straightforward, and is the subject of this study. The model under investigation herein is the Delft3D modeling suite, developed at Deltares (formerly Delft Hydraulics) in Delft, the Netherlands. Coupling of the wave (SWAN) and hydrodynamic (FLOW) model requires care at the lateral boundaries in order to balance run time and error growth. To this extent, we will use perturbation method and spatio-temporal analysis method such as Empirical Orthogonal Function (EOF) analysis to determine the various scales of motion in the flow field and the extent of their response to imposed boundary errors.

scholarly journals The First Lumpy Skin Disease Outbreak in Thailand (2021): Epidemiological Features and Spatio-Temporal Analysis

2022 ◽  
Vol 8 ◽  
Author(s):  
Orapun Arjkumpa ◽  
Minta Suwannaboon ◽  
Manoch Boonrod ◽  
Issara Punyawan ◽  
Supawadee Liangchaisiri ◽  
...  
Keyword(s):  
Skin Disease ◽  
Temporal Analysis ◽  
Space Time ◽  
Effective Control ◽  
Outbreak Response ◽  
Lumpy Skin Disease ◽  
Epidemiological Features ◽  
Spatio Temporal ◽  
Epidemiological Characteristics ◽  
Cattle Farms

The first outbreak of lumpy skin disease (LSD) in Thailand was reported in March 2021, but information on the epidemiological characteristics of the outbreak is very limited. The objectives of this study were to describe the epidemiological features of LSD outbreaks and to identify the outbreak spatio-temporal clusters. The LSD-affected farms located in Roi Et province were investigated by veterinary authorities under the outbreak response program. A designed questionnaire was used to obtain the data. Space-time permutation (STP) and Poisson space-time (Poisson ST) models were used to detect areas of high LSD incidence. The authorities identified 293 LSD outbreak farms located in four different districts during the period of March and the first week of April 2021. The overall morbidity and mortality of the affected cattle were 40.5 and 1.2%, respectively. The STP defined seven statistically significant clusters whereas only one cluster was identified by the Poisson ST model. Most of the clusters (n = 6) from the STP had a radius <7 km, and the number of LSD cases in those clusters varied in range of 3–51. On the other hand, the most likely cluster from the Poisson ST included LSD cases (n = 361) from 198 cattle farms with a radius of 17.07 km. This is the first report to provide an epidemiological overview and determine spatio-temporal clusters of the first LSD outbreak in cattle farms in Thailand. The findings from this study may serve as a baseline information for future epidemiological studies and support authorities to establish effective control programs for LSD in Thailand.

scholarly journals Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

2017 ◽  
Author(s):  
Sarsenbay K. Abdrakhmanov ◽  
Yersyn Y. Mukhanbetkaliyev ◽  
Fedor I. Korennoy ◽  
Bolat Sh. Karatayev ◽  
Aizada A. Mukhanbetkaliyeva ◽  
...  
Keyword(s):  
Temporal Trends ◽  
Small Ruminants ◽  
Temporal Analysis ◽  
Space Time ◽  
Decision Makers ◽  
Annual Number ◽  
Spatio Temporal ◽  
The Republic ◽  
Increasing Trends ◽  
Historical Periods

An analysis of the anthrax epidemic situation among livestock animals in the Republic of Kazakhstan over the period 1933-2016 is presented. During this time, 4,064 anthrax outbreaks (mainly in cattle, small ruminants, pigs and horses) were recorded. They fall into five historical periods of increase and decrease in the annual anthrax incidence (1933-1953; 1954-1968; 1969-1983; 1984- 2001; and 2002-2016), which has been associated with changes in economic activity and veterinary surveillance. To evaluate the temporal trends of incidence variation for each of these time periods, the following methods were applied: i) spatio-temporal analysis using a space-time cube to assess the presence of hotspots (i.e., areas of outbreak clustering) and the trends of their emergence over time; and ii) a linear regression model that was used to evaluate the annual numbers of outbreaks as a function of time. The results show increasing trends during the first two periods followed by a decreasing trend up to now. The peak years of anthrax outbreaks occurred in 1965-1968 but outbreaks still continue with an average annual number of outbreaks of 1.2 (95% confidence interval: 0.6-1.8). The space-time analysis approach enabled visualisation of areas with statistically significant increasing or decreasing trends of outbreak clustering providing a practical opportunity to inform decision-makers and allowing the veterinary services to concentrate their efforts on monitoring the possible risk factors in the identified locations.

scholarly journals Formation of a system of indicators of balanced economic development in the context of globalization: space-time analysis in order to ensure economic security

2021 ◽  
Vol 92 ◽  
pp. 07001
Author(s):  
Lubov Afanasyeva ◽  
Larisa Belousova ◽  
Tatyana Tkacheva
Keyword(s):  
Value Added ◽  
Temporal Analysis ◽  
Economic Security ◽  
Space Time ◽  
Modern World ◽  
Time Analysis ◽  
Balanced Development ◽  
Federal Districts ◽  
Spatio Temporal

Research background: The modern world economy of the 21st century, being innovatively oriented, global and based on the information space, is constantly being modified, focusing on the growth of the level and quality of life of the population by accelerating innovation processes. For the purposes of monitoring the innovation and investment activities of the regions in order to ensure the economic security of Russia, it is necessary to have a system of indicators that reflect the processes of innovative development of its territories as comprehensively as possible. Purpose of the article: Formation of a system of indicators for the balanced development of the region’s economy in the context of globalization: space-time analysis in order to ensure economic security. Methods: Spatio-temporal analysis of the identified indicators of balanced development of the regional economy in order to ensure economic security. Findings & Value added: The proposed system of indicators of economic security of the region and their threshold values can be used in assessing the development forecasts of the regions and the Federal Districts developed by the administration, draft budgets, expertise of the federal target programs, as well as in other elements of the regional economic security management.

scholarly journals Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh

2020 ◽  
Vol 17 (16) ◽  
pp. 5911 ◽  
Author(s):  
Arif Masrur ◽  
Manzhu Yu ◽  
Wei Luo ◽  
Ashraf Dewan
Keyword(s):  
Public Awareness ◽  
Temporal Analysis ◽  
Space Time ◽  
Health Care Facilities ◽  
Transmission Dynamics ◽  
Disease Spread ◽  
Significant Public Health ◽  
Spatio Temporal ◽  
Novel Coronavirus ◽  
Active Cluster

The novel coronavirus (COVID-19) pandemic continues to be a significant public health threat worldwide, particularly in densely populated countries such as Bangladesh with inadequate health care facilities. While early detection and isolation were identified as important non-pharmaceutical intervention (NPI) measures for containing the disease spread, this may not have been pragmatically implementable in developing countries due to social and economic reasons (i.e., poor education, less public awareness, massive unemployment). Hence, to elucidate COVID-19 transmission dynamics with respect to the NPI status—e.g., social distancing—this study conducted spatio-temporal analysis using the prospective scanning statistic at district and sub-district levels in Bangladesh and its capital, Dhaka city, respectively. Dhaka megacity has remained the highest-risk “active” cluster since early April. Lately, the central and south eastern regions in Bangladesh have been exhibiting a high risk of COVID-19 transmission. The detected space-time progression of COVID-19 infection suggests that Bangladesh has experienced a community-level transmission at the early phase (i.e., March, 2020), primarily introduced by Bangladeshi citizens returning from coronavirus epicenters in Europe and the Middle East. Potential linkages exist between the violation of NPIs and the emergence of new higher-risk clusters over the post-incubation periods around Bangladesh. Novel insights into the COVID-19 transmission dynamics derived in this study on Bangladesh provide important policy guidelines for early preparations and pragmatic NPI measures to effectively deal with infectious diseases in resource-scarce countries worldwide.

scholarly journals Research on the Evolution of “Ren” and “Li” in SikuQuanshu Confucian Classics

2021 ◽  
Vol 12 ◽  
Author(s):  
Bo Hu ◽  
Fugui Xing ◽  
Miaorong Fan ◽  
Tingshao Zhu
Keyword(s):  
Qing Dynasty ◽  
Tang Dynasty ◽  
Chinese Culture ◽  
Average Frequency ◽  
Confucian Culture ◽  
Autumn Period ◽  
Moral Principles ◽  
The Qing Dynasty ◽  
Spring And Autumn Period ◽  
New Perspective

Confucian culture has always been the most glorious component of Chinese culture. Governing the mainstream world of China for more than two millennia, it has cast a profound and long-lasting influence on the way of thinking and cultural-psychological formation of the Chinese people. Confucianism emphasizes caring about others with benevolence and governing a state with ethics, reflecting the importance of moral principles for politics. “Ren” and “Li” are important parts of the core values of Confucianism, so analyzing the differences between them and their evolution is of great significance for further understanding Confucian culture. This paper selected 132 classic Confucian works from SikuQuanshu, a large collection of books compiled during the Qianlong’s reign of the Qing Dynasty (1636–1912), to calculate the use of frequency of “Ren” and “Li” in those books by means of big data. Then the data was analyzed to show the development trajectory of “Ren” and “Li” from the Spring and Autumn period (770–476 BC) to the Qing Dynasty, providing a new perspective for the study of Confucian culture. The analysis result shows that from the Spring and Autumn period to the Qing Dynasty, both the frequencies of “Ren” and “Li” record a peak and a bottom: “Ren” has its peak in the Sui and Tang period (581–907) while “Li” reaches its climax in the Wei and Jin period (220–420); both “Ren” and “Li” hit their bottom during the Yuan Dynasty (1279–1368). The average frequency of “Li” is higher than that of “Ren” during most of the time (eight dynasties and periods). In general, “Li” is more frequently referred to in classic Confucian works than “Ren,” especially in those of the pre-Sui and Tang era. The An-Shi Disturbances in the Tang Dynasty may mark an important turning point for the frequencies of “Ren” and “Li” in classic Confucian works.

The remains of the ancient bridges on the Wei River in Xi’an City

2015 ◽  
Vol 15 (1) ◽  
Keyword(s):  
Qing Dynasty ◽  
Tang Dynasty ◽  
Large Scale ◽  
Warring States Period ◽  
The Qing Dynasty ◽  
Warring States ◽  
Western Han Dynasty ◽  
The North ◽  
Eastern Han ◽  
Wei River

AbstractThe remains of seven bridges in three groups across the Wei River to the north and northeast of the Chang’an City of the Western Han Dynasty discovered successively since 2012 filled in the blank of the archaeology of the bridges across the Wei River. Among the seven bridges, the Chucheng Gate Bridge No. 1 had huge size, which was the largest wooden structure bridge of the same period known to date. The 14C data showed that the Chucheng Gate Bridge No. 4 was built in the late Warring-States Period; the Chucheng Gate Bridge No. 1 was built in the Western Han and at least rebuilt for two times in the Eastern Han and the Three-Kingdoms Period and Western Jin Dynasty; the Luocheng Gate Bridge was built around the late Western Han through the early Eastern Han and the Chucheng Gate Bridge No. 3 was built in the Tang Dynasty. The coins of the Qing Dynasty unearthed in the excavated area of the Chucheng Gate bridges hinted that at latest in the Kangxi Era of the Qing Dynasty, the Wei River was still in the course of the Han through the Tang Dynasties, and the large-scale northward moving of the course of the Wei River would be after that period.

scholarly journals Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis

2020 ◽  
Vol 17 (1) ◽  
pp. 360 ◽  
Author(s):  
Yu-ting Bai ◽  
Xue-bo Jin ◽  
Xiao-yi Wang ◽  
Xiao-kai Wang ◽  
Ji-ping Xu
Keyword(s):  
Correlation Analysis ◽  
Temporal Analysis ◽  
Pollution Source ◽  
Analysis Method ◽  
Dynamic Features ◽  
Dynamic Correlation ◽  
Critical Issues ◽  
Correlation Analysis Method ◽  
Spatio Temporal ◽  
Grey Relational

Pollutant analysis and pollution source tracing are critical issues in air quality management, in which correlation analysis is important for pollutant relation modeling. A dynamic correlation analysis method was proposed to meet the real-time requirement in atmospheric management. Firstly, the spatio-temporal analysis framework was designed, in which the process of data monitoring, correlation calculation, and result presentation were defined. Secondly, the core correlation calculation method was improved with an adaptive data truncation and grey relational analysis. Thirdly, based on the general framework and correlation calculation, the whole algorithm was proposed for various analysis tasks in time and space, providing the data basis for ranking and decision on pollutant effects. Finally, experiments were conducted with the practical data monitored in an industrial park of Hebei Province, China. The different pollutants in multiple monitoring stations were analyzed crosswise. The dynamic features of the results were obtained to present the variational correlation degrees from the proposed and contrast methods. The results proved that the proposed dynamic correlation analysis could quickly acquire atmospheric pollution information. Moreover, it can help to deduce the influence relation of pollutants in multiple locations.

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