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The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators 协同克里格的多种形式:多元空间估计量的多样性
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-10-12 DOI: 10.1007/s11004-023-10104-7
Peter A. Dowd, Eulogio Pardo-Igúzquiza
Abstract In this expository review paper, we show that co-kriging, a widely used geostatistical multivariate optimal linear estimator, has a diverse range of extensions that we have collected and illustrated to show the potential of this spatial interpolator. In the context of spatial stochastic processes, this paper covers scenarios including increasing the spatial resolution of a spatial variable (downscaling), solving inverse problems, estimating directional derivatives, and spatial interpolation taking boundary conditions into account. All these spatial interpolators are optimal linear estimators in the sense of being unbiased and minimising the variance of the estimation error.
在这篇解释性的综述文章中,我们展示了共同克里格,一个广泛使用的地统计多元最优线性估计,我们收集并说明了这个空间插值器的潜力,并有不同的扩展范围。在空间随机过程的背景下,本文涵盖的场景包括增加空间变量的空间分辨率(降尺度)、求解逆问题、估计方向导数以及考虑边界条件的空间插值。所有这些空间插值器在无偏性和最小化估计误差方差的意义上都是最优线性估计器。
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引用次数: 0
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network 利用生成对抗网络提高地震图像分辨率和降低随机噪声
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-10-08 DOI: 10.1007/s11004-023-10103-8
Lei Lin, Zhi Zhong, Chuyang Cai, Chenglong Li, Heng Zhang
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引用次数: 0
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns 光谱滤波地球化学信号的盲源分离识别多深度矿化富集模式
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-10-06 DOI: 10.1007/s11004-023-10101-w
Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Shahram Hosseini, Yannick Deville, Emmanuel John M. Carranza
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引用次数: 0
Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification 减少错误岩性标签对岩石识别深度神经网络训练的影响
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-23 DOI: 10.1007/s11004-023-10094-6
Xiaoyue Feng, Hongmei Luo, Changjiang Wang, Hanming Gu
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引用次数: 0
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content 长期数据序列的鲁棒统计处理估算土壤含水量
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-19 DOI: 10.1007/s11004-023-10100-x
Mirko Anello, Marco Bittelli, Massimiliano Bordoni, Fabrizio Laurini, Claudia Meisina, Marco Riani, Roberto Valentino
Abstract The research presented in this paper aims at providing a statistical model that is capable of estimating soil water content based on weather data. The model was tested using a long-time series of field experimental data from continuous monitoring at a test site in Oltrepò Pavese (northern Italy). An innovative statistical function was developed in order to predict the evolution of soil–water content from precipitation and air temperature. The data were analysed in a framework of robust statistics by using a combination of robust parametric and non-parametric models. Specifically, a statistical model, which includes the typical seasonal trend of field data, has been set up. The proposed model showed that relevant features present in the field of experimental data can be obtained and correctly described for predictive purposes.
摘要:本文旨在建立一种基于气象数据估算土壤含水量的统计模型。利用在Oltrepò Pavese(意大利北部)一个试验点连续监测的一系列长期现场实验数据对该模型进行了测试。为了预测降水和气温对土壤含水量的影响,提出了一种新颖的统计函数。数据通过使用鲁棒参数和非参数模型的组合在鲁棒统计的框架中进行分析。具体而言,建立了一个包含典型野外数据季节趋势的统计模型。所提出的模型表明,可以获得实验数据领域的相关特征,并正确描述其用于预测目的。
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引用次数: 0
Quaternions for Rotations in Paleomagnetism 古地磁中旋转的四元数
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-13 DOI: 10.1007/s11004-023-10098-2
Koji Fukuma
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引用次数: 0
A Nonlinear Dynamical Model for Monthly Runoff Forecasting in Situations of Small Samples 小样本情况下月径流预报的非线性动力学模型
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-11 DOI: 10.1007/s11004-023-10099-1
Nanjun Liu, Longxia Qian, Denghua Yan, Wei Hu, Mei Hong
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引用次数: 0
Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index 光滑超参数增强平稳协方差函数及结构相似指数改进高斯过程回归
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-06 DOI: 10.1007/s11004-023-10095-5
A. Chlingaryan, Raymond Leung, A. Melkumyan
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引用次数: 0
Stochastic Geomodeling of Karst Morphology by Dynamic Graph Dissolution 基于动态图溶蚀的岩溶地貌随机模拟
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-01 DOI: 10.1007/s11004-023-10088-4
Rayan Kanfar, T. Mukerji
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引用次数: 0
A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-19 新型冠状病毒异常发病值预警系统的随机模型
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-01 DOI: 10.1007/s11004-023-10096-4
A. F. Duarte, A. Soares, M. Pereira, A. Peralta-Santos, Pedro Pinto Leite, Leonardo Azevedo
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引用次数: 0
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