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41.
K. R. Koch 《Journal of Geodesy》2007,81(9):581-591
Among the Markov chain Monte Carlo methods, the Gibbs sampler has the advantage that it samples from the conditional distributions
for each unknown parameter, thus decomposing the sample space. In the case the conditional distributions are not tractable,
the Gibbs sampler by means of sampling-importance-resampling is presented here. It uses the prior density function of a Bayesian
analysis as the importance sampling distribution. This leads to a fast convergence of the Gibbs sampler as demonstrated by
the smoothing with preserving the edges of 3D images of emission tomography. 相似文献
42.
43.
皮帕尔图是常用的地下水化学分类方法,使用Mapgis编制的皮帕尔图,可以利用GIS的编辑和查询功能,使用更加方便,本文介绍了在Mapgis平台绘制皮帕尔图的步骤,并用该方法分析了天津地区的地下水化学类型,体现了使用GIS成图的优势。 相似文献
44.
Wenjun Yong E. Dachs A. C. Withers E. J. Essene 《Physics and Chemistry of Minerals》2007,34(2):121-127
A multi-anvil device was used to synthesize 24 mg of pure γ-Fe2SiO4 crystals at 8.5 GPa and 1,273 K. The low-temperature heat capacity (C
p) of γ-Fe2SiO4 was measured between 5 and 303 K using the heat capacity option of a physical properties measurement system. The measured
heat capacity data show a broad λ-transition at 11.8 K. The difference in the C
p between fayalite and γ-Fe2SiO4 is reduced as the temperature increases in the range of 50–300 K. The gap in C
p data between 300 and 350 K of γ-Fe2SiO4 is an impediment to calculation of a precise C
p equation above 298 K that can be used for phase equilibrium calculations at high temperatures and high pressures. The C
p and entropy of γ-Fe2SiO4 at standard temperature and pressure (S°298) are 131.1 ± 0.6 and 140.2 ± 0.4 J mol−1 K−1, respectively. The Gibbs free energy at standard pressure and temperature (ΔG°
f,298) is calculated to be −1,369.3 ± 2.7 J mol−1 based on the new entropy data. The phase boundary for the fayalite–γ-Fe2SiO4 transition at 298 K based on current thermodynamic data is located at 2.4 ± 0.6 GPa with a slope of 25.4 bars/K, consistent
with extrapolated results of previous experimental studies. 相似文献
45.
依据线图的结构特点,首先提取节点信息快速抓住图像的总体拓扑结构,然后以节点信息指导进行矢量跟踪,能够有效解决复杂的交叉点问题,提高矢量化的效率和精度。基于节点信息指导和对不同连通体分类跟踪的方法避免了跟踪起始点选取的随意性和跟踪方向选取的盲目性,并具有抗噪性好和适应性强的特点。 相似文献
46.
正确可靠的数据是GIS系统的核心。针对管网数据的复杂性,提出利用圈数据模型描述管网拓扑关系.并使用拓扑约束方法对管网数据一致性进行检测,以确保数据的正确性。该方法吸收了基于连接规则以及基于拓扑关系约束的方法的优点,能够更好的描述管网系统的整体结构并对其进行拓扑约束,使得一致性检测更加全面。 相似文献
47.
Estimating concentrations or flow rates along a stream network requires specific models. Two classes of models, recently proposed in the literature, are generalized, to the intrinsic case in particular. We present a global construction by ‘streams’, i.e. on the whole set of paths between sources and outlet. Combining stationary or intrinsic one-dimensional random functions leads to stationary or intrinsic models on segments, with discontinuities at the forks. A construction from outlet to sources, leads to stationary or intrinsic models on each stream, without any discontinuity at the forks. The linear variogram is found as a particular case. The extension to the linear model of coregionalization is immediate, allowing a multivariate modelling of concentrations. To cite this article: C. de Fouquet, C. Bernard-Michel, C. R. Geoscience 338 (2006). 相似文献
48.
49.
无拓扑关系下GIS图形编辑联动的解决方法 总被引:2,自引:0,他引:2
给出了一种解决层内联动以及层间联动的方法,对于实际处理无拓扑关系下编辑联动的问题有较好的利用价值。 相似文献
50.
Conditional Simulation of Random Fields with Bivariate Gamma Isofactorial Distributions 总被引:5,自引:0,他引:5
Xavier Emery 《Mathematical Geology》2005,37(4):419-445
This work focuses on a random function model with gamma marginal and bivariate isofactorial distributions, which has been applied in mining geostatistics for estimating recoverable reserves by disjunctive kriging. The objective is to widen its use to conditional simulation and further its application to the modeling of continuous attributes in geosciences. First, the main properties of the bivariate gamma isofactorial distributions are analyzed, with emphasis in the destructuring of the extreme values, the presence of a proportional effect (higher variability in high-valued areas), and the asymmetry in the spatial correlation of the indicator variables with respect to the median threshold. Then, we provide examples of stationary random functions with such bivariate distributions, for which the shape parameter of the marginal distribution is half an integer. These are defined as the sum of squared independent Gaussian random fields. An iterative algorithm based on the Gibbs sampler is proposed to perform the simulation conditional to a set of existing data. Such ‘multivariate chi-square’ model generalizes the well-known multigaussian model and is more flexible, since it allows defining a shape parameter which controls the asymmetry of the marginal and bivariate distributions. 相似文献