Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework

Yu, Hwa‐Lung; Kolovos, Alexander; Christakos, George; Chen, Jiu‐Chiuan; Warmerdam, Steve; Dev, Boris

doi:10.1007/s00477-007-0172-8

Cited by 31 publications

(45 citation statements)

References 37 publications

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“…Bayesian method makes a decision according to the posterior probability distributions combination with the probability density function and prior probability distributions, the method has merits which taken into account the error of sample estimation and prior probability and knowledge. The estimation of Bayesian maximum entropy (BME) has a set of criteria and the relative theoretical merits, spatialtemporal covariance models available was taken into account, such as covariance variogram and semivariogram, ordinary and generalized, separable and non-separable, at the same time, the spatiotemporal structure of the yield distribution combination with the temporal variation was adequately represented [13,14].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The Comparative Analysis of Spatial Structure of Ji Wheat 22 Yield Based on Different Stochastic Samplings

Yang

Tong

2012

Computer and Computing Technologies in Agriculture V

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Abstract. The spatial variation of crop yield was mainly caused by the complicated factors, such as soil and land factors. Based on sound theoretical reasoning, the paper performed an exploratory investigation of the relationship between the spatial distribution of yield measurement about 849 samplings on Thiessen polygon. Reasonable sample size or sampling density is an assurance of yield estimation surface. To investigate the spatial structure of Ji wheat 22 yield, we developed the comparison analysis of surface interpolation precision by stochastic samplings of 568, 425, 212 and 144 from a total of 849 samplings in zoning area, the other emphasis of the study was explored the influence of the distribution change of yield with the threshold of samplings numbers for the higher estimation precision. We first detected the presence of global spatial autocorrelation characteristics about the distribution of the Thiessen polygon region generated yield measurement samplings, then with the support of IDW interpolation, the higher precision surface was analyzed and obtained by the comparison of 5 samplings mode. High yield Thiessen polygon region of Ji wheat 22 tended to be clustered close to the high yield polygon region, the low yield Thiessen polygon region tended to be clustered close to the low yield polygon region. It is important to estimate the yield distribution for sampling density, samplings method, interpolation methods and sample size, we suggested that a suitable sample size of about 200 samplings should be used for Ji wheat 22 yield developed from the sampling zoning to acquire the higher surface estimation precision, beyond or the samplings number, the estimation precision presented the fluctuation characteristics.

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Section: Conclusion and Discussionmentioning

confidence: 99%

The Comparative Analysis of Spatial Structure of Ji Wheat 22 Yield Based on Different Stochastic Samplings

Yang

Tong

2012

Computer and Computing Technologies in Agriculture V

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“…In recent years, generalized spatiotemporal analysis has been rediscovered and proposed as a potentially useful method in the study of space-time heterogeneous air pollution variations, including PM datasets (e.g., Smith et al, 2003). Another useful extension is a combination of generalized spatiotemporal analysis with BME modeling that leads to various forms of GBME analysis with interesting air pollution applications (Christakos and Hristopulos, 1998;Christakos and Kolovos, 1999;Yu et al, 2007aYu et al, , 2007bYu et al, , 2008. Finally, incorporating multiple-point spatiotemporal statistics and accounting for space-time support and scale effects may further improve the air pollution analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Also, BME accounts for important physical crosscorrelations in the spatiotemporal domain that are not considered by mainstream techniques (Kolovos et al, 2002(Kolovos et al, , 2004. Various extensions of BME are possible, including the generalized BME (GBME; Yu et al, 2007aYu et al, , 2008) that processes directly heterogeneous space-time variations of any degree, vectorial BME (Choi et al, 1998) that simultaneously incorporates several space-time attributes linked via a physical law or an empirical relationship, and functional BME (Christakos, 2000) that accounts for different space-time attribute supports.…”

Section: Spatiotemporal Analysismentioning

confidence: 99%

“…Since this kind of spatiotemporal statistics software has been routinely used in scientific applications for about two decades, no mathematical or technical details are presented here concerning the relevant models and methods (BME, GBME, space-time kriging etc.). Interested readers are referred to the website above, the SEKS-GUI Users Manual (Kolovos et al, 2006), the review paper by Yu et al (2007a), and references therein.…”

Section: Spatiotemporal Analysismentioning

confidence: 99%

“…; Bogaert, 2002;Kovitz and Christakos, 2004;Parkin et al, 2005;Law et al, 2006). Also, it is worth noting that if the space-time GBME technique is selected, certain activities of the OK preprocessing stage (data detrending, normalization) are not needed, which could reduce possible preprocessing errors (Yu et al, 2007a(Yu et al, , 2008. At the space-time dependence stage of BME, a technique proposed in Christakos et al (2002) was used to include some soft data into covariance calculations.…”

Section: Pm 25 Pollution Analysis and Mappingmentioning

confidence: 99%

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Comparative spatiotemporal analysis of fine particulate matter pollution

2009

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SUMMARYThe prime focus of this work is the comparative investigation, theoretical and numerical, of spatiotemporal techniques used in air pollution studies. Space-time statistics techniques are classified on the basis of a set of criteria and the relative theoretical merits of each technique are discussed accordingly. The numerical comparison involves the applications of two representative techniques. For this purpose, the popular spatiotemporal epistemic knowledge synthesis and graphical user interface (SEKS-GUI) software of spatiotemporal statistics is used together with a dataset of PM 2.5 daily measurements obtained at monitoring stations geographically distributed over the state of North Carolina, USA. The analysis offers valuable insight concerning the choice of an appropriate spatiotemporal technique in air pollution studies.

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Analysis of the Causes of Altered Coal Seam Permeability Based on On‐Site Directional Long‐Drill Hydraulic Fracturing Tests

Zhao,

Wei,

Luo

et al. 2024

Energy Tech

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This study aims to explore the problem of gas extraction from coal seams. Based on the engineering background of Longfeng coal mine in Guizhou Province, hydraulic fracturing test and DC method test are carried out in 5922 wind tunnel of Longfeng coal mine's second mining area, according to which a drainage model is established to simulate the process of gas drainage from a single hole, in order to evaluate the effect of gas drainage after the completion of the hydraulic fracturing tests. According to the test results, it can be seen that the fracturing is mainly concentrated on both sides of borehole No. 9‐4, with an impact area of up to 30 m and a resistance increase in the range of 100–400 Ωm. After calculation, the theoretical value of effective gas extraction radius after fracturing is 4.83 m, which is increased by 49%; the permeability coefficient after fracturing is increased to 2.64 times of that of the original coal seam. In addition, the average concentration of extracted gas is 68%, which is 7.5 times higher than that without fracturing. Therefore, this research result can provide technical reference for the management of low permeability coal seams under similar geological conditions.

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Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework

Cited by 31 publications

References 37 publications

The Comparative Analysis of Spatial Structure of Ji Wheat 22 Yield Based on Different Stochastic Samplings

The Comparative Analysis of Spatial Structure of Ji Wheat 22 Yield Based on Different Stochastic Samplings

Comparative spatiotemporal analysis of fine particulate matter pollution

Analysis of the Causes of Altered Coal Seam Permeability Based on On‐Site Directional Long‐Drill Hydraulic Fracturing Tests

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