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Journal articles on the topic 'Universal kriging model'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Lesauskiene, E., and K. Dučinskas. "UNIVERSAL KRIGING FOR SPATIO‐TEMPORAL DATA." Mathematical Modelling and Analysis 8, no. 4 (2003): 283–90. http://dx.doi.org/10.3846/13926292.2003.9637230.

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In this article we have used wide applicable classes of spatio‐temporal nonseparable and separable covariance models. One of the objectives of this paper is to furnish a possibility how to avoid the usage of complicated covariance functions. Assuming regression model for mean function the analytical expressions for the optimal linear prediction (universal kriging) and mean squared prediction error (MSPE) was obtained. Parameterized spatio‐temporal covariance functions were fitted for the real data. Prediction values and MSPE were presented. For visualization of results on graphics are used fre

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Cao, Meng Xue, Lai Jun Lu, and Guo Qiang Chen. "Factor-Universal Kriging Model in the Geochemical Combination Anomaly." Advanced Materials Research 807-809 (September 2013): 2139–46. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2139.

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Geochemical elements combination anomaly is one of three basic theories in the mineral resources prediction, considering the autocorrelation and structure of elements spatial distribution, comprehensive spatial structure simplified for Factor analysis and spatial variation metric thought for Universal Kriging, mixing together two methods constructs the so-called Factor-Universal Kriging model, for combination anomaly analysis of regional geochemical data. This article emphatically introduces the principle and application of the model.

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Mooney, Stephen J., Michael D. M. Bader, Gina S. Lovasi, Kathryn M. Neckerman, Andrew G. Rundle, and Julien O. Teitler. "Using Universal Kriging to Improve Neighborhood Physical Disorder Measurement." Sociological Methods & Research 49, no. 4 (2018): 1163–85. http://dx.doi.org/10.1177/0049124118769103.

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Ordinary kriging, a spatial interpolation technique, is commonly used in social sciences to estimate neighborhood attributes such as physical disorder. Universal kriging, developed and used in physical sciences, extends ordinary kriging by supplementing the spatial model with additional covariates. We measured physical disorder on 1,826 sampled block faces across four U.S. cities (New York, Philadelphia, Detroit, and San Jose) using Google Street View imagery. We then compared leave-one-out cross-validation accuracy between universal and ordinary kriging and used random subsamples of our obser

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Vašát, R., L. Pavlů, L. Borůvka, O. Drábek, and A. Nikodem. "Mapping the topsoil pH and humus quality of forest soils in the North Bohemian Jizerské hory Mts. region with ordinary, universal, and regression kriging: cross-validation comparison." Soil and Water Research 8, No. 3 (2013): 97–104. http://dx.doi.org/10.17221/62/2012-swr.

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North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to the wide forest decline in North Bohemian mountains. In this paper we map the active topsoil pH and humus quality with ordinary, universal, and regression kriging and compare the accuracy of resulting maps with cross-validation. For the regression kriging we use two types of spatially exhaustive auxiliary information, first the altitude derived

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Xu, Bin, and Zhongke Shi. "Universal Kriging control of hypersonic aircraft model using predictor model without back-stepping." IET Control Theory & Applications 7, no. 4 (2013): 573–83. http://dx.doi.org/10.1049/iet-cta.2012.0876.

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Somayasa, W., G. A. Wibawa, Ruslan, and D. K. Sutiari. "Universal kriging of corn plant data under isotropic power type variogram model." Journal of Physics: Conference Series 1341 (October 2019): 062029. http://dx.doi.org/10.1088/1742-6596/1341/6/062029.

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Montes, Fernando, and Alicia Ledo. "Incorporating environmental and geographical information in forest data analysis: a new fitting approach for universal kriging." Canadian Journal of Forest Research 40, no. 9 (2010): 1852–61. http://dx.doi.org/10.1139/x10-131.

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Universal kriging gives the optimal linear model to incorporate auxiliary information in data analysis in the presence of spatial dependence of observations if the underlying variogram is known. However, in practice, the variogram is typically unknown and its estimation constitutes one of the major problems in universal kriging theory. In this paper, a new method is proposed to estimate the variogram and the mean function in universal kriging based on the relationship between the second moments of the variable Z(s) and the auxiliary variables. The performance of the proposed method is analysed

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Ferreira, Italo Oliveira, Dalto Domingos Rodrigues, Gérson Rodrigues dos Santos, and Lidiane Maria Ferraz Rosa. "IN BATHYMETRIC SURFACES: IDW OR KRIGING?" Boletim de Ciências Geodésicas 23, no. 3 (2017): 493–508. http://dx.doi.org/10.1590/s1982-21702017000300033.

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Abstract: The representation of the submerged relief is very importance in diverse areas of knowledge such as Projects to build or reassess port dimensions, installation of moles, ducts, marinas, bridges, tunnels, mineral prospecting, waterways, dredging, silting control of river and lakes, and others. The depths of the aquatic bodies, indispensable for the representation of those, are obtained through the bathymetric surveys. However, the result of a bathymetric sampling is a grid of points that, for itself, it is not capable of generating directly the Digital Model of Depth (DMD), being nece

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Badhurshah, Rameez, and Abdus Samad. "Surrogate Assisted Design Optimization of an Air Turbine." International Journal of Rotating Machinery 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/563483.

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Surrogates are cheaper to evaluate and assist in designing systems with lesser time. On the other hand, the surrogates are problem dependent and they need evaluation for each problem to find a suitable surrogate. The Kriging variants such as ordinary, universal, and blind along with commonly used response surface approximation (RSA) model were used in the present problem, to optimize the performance of an air impulse turbine used for ocean wave energy harvesting by CFD analysis. A three-level full factorial design was employed to find sample points in the design space for two design variables.

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Ligas, Marcin, and Marek Kulczycki. "Kriging approach for local height transformations." Geodesy and Cartography 63, no. 1 (2014): 25–37. http://dx.doi.org/10.2478/geocart-2014-0002.

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Abstract In the paper a transformation between two height datums (Kronstadt’60 and Kronstadt’86, the latter being a part of the present National Spatial Reference System in Poland) with the use of geostatistical method - kriging is presented. As the height differences between the two datums reveal visible trend a natural decision is to use the kind of kriging method that takes into account nonstationarity in the average behavior of the spatial process (height differences between the two datums). Hence, two methods were applied: hybrid technique (a method combining Trend Surface Analysis with o

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Du, Xiaosong, and Leifur Leifsson. "Efficient uncertainty propagation for MAPOD via polynomial chaos-based Kriging." Engineering Computations 37, no. 1 (2019): 73–92. http://dx.doi.org/10.1108/ec-04-2019-0157.

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Purpose Model-assisted probability of detection (MAPOD) is an important approach used as part of assessing the reliability of nondestructive testing systems. The purpose of this paper is to apply the polynomial chaos-based Kriging (PCK) metamodeling method to MAPOD for the first time to enable efficient uncertainty propagation, which is currently a major bottleneck when using accurate physics-based models. Design/methodology/approach In this paper, the state-of-the-art Kriging, polynomial chaos expansions (PCE) and PCK are applied to “a^ vs a”-based MAPOD of ultrasonic testing (UT) benchmark p

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Rahardianto, Trias. "The Use Of Gis In Estimating Rain Fall Erosivity Factor Of Onkaparinga Watershed- South Australia." PROKONS Jurusan Teknik Sipil 7, no. 1 (2013): 93. http://dx.doi.org/10.33795/prokons.v7i1.40.

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The study is aimed at the examination of spatial distribution of rainfall to produce rainfall erosivity map in Onkaparinga watershed, utilising Geographic Information System (GIS). Rainfall data was obtained from rainfall stations in and around the watershed as monthly precipitation data. Ordinary least square (OLS) method implemented to observe the relationship between rainfall erosivity as dependent variable, and both of rainfall and elevation as the explanatory variable. To create the continous surface of the site specific monthly and annual average precipitation data, the universal kriging

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Dimitrov, Nikolay, Mark C. Kelly, Andrea Vignaroli, and Jacob Berg. "From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases." Wind Energy Science 3, no. 2 (2018): 767–90. http://dx.doi.org/10.5194/wes-3-767-2018.

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Abstract. We define and demonstrate a procedure for quick assessment of site-specific lifetime fatigue loads using simplified load mapping functions (surrogate models), trained by means of a database with high-fidelity load simulations. The performance of five surrogate models is assessed by comparing site-specific lifetime fatigue load predictions at 10 sites using an aeroelastic model of the DTU 10 MW reference wind turbine. The surrogate methods are polynomial chaos expansion, quadratic response surface, universal Kriging, importance sampling, and nearest-neighbor interpolation. Practical b

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Ijaware, Victor Ayodele, and Adebayo T. Adeboye. "Assessment of Spatial Prediction Techniques Accuracy for Elevation Determination in Akure South Local Government, Ondo State." European Journal of Engineering Research and Science 5, no. 5 (2020): 550–53. http://dx.doi.org/10.24018/ejers.2020.5.5.1805.

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a cooperative effort between NASA and Japan's Ministry of Economy Trade and Industry (METI), with the collaboration of scientific and industry organizations in both countries. The ASTER instrument provides a more robust remote sensing imaging capability when compared to the older Landsat Thematic Mapper. This paper deals with the accuracy assessment of elevation data obtained using ASTER from each of the eleven (11) selected extrapolation/interpolation algorithms: Inverse Distance Weighting, Natural Neighbor, Spline

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Xiao, Qian, and Hongquan Xu. "A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies." Computational Statistics & Data Analysis 157 (May 2021): 107155. http://dx.doi.org/10.1016/j.csda.2020.107155.

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You, Dongdong, Wenbin Pang, and Dongqing Cai. "Thermal Fatigue Life Prediction under Temperature Uncertainty for Shot Sleeve of Squeeze Casting Machine." Metals 11, no. 7 (2021): 1126. http://dx.doi.org/10.3390/met11071126.

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To quantify the influence of temperature uncertainty on thermal fatigue life prediction of a shot sleeve in an injection mechanism, an uncertainty analysis method based on a Kriging surrogate model and Monte Carlo simulation (MCS) was proposed. The training samples of the surrogate model were obtained by a finite element simulation, and the response relationships between input variables, such as pouring and preheating temperature, and target variables, such as strain and stress, were constructed by the Kriging surrogate model. The input variables were sampled by the MCS, and the predicted stre

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Bastiani, Fernanda de, Miguel A. Uribe-Opazo, and Gustavo H. Dalposso. "Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model." Engenharia Agrícola 32, no. 2 (2012): 393–404. http://dx.doi.org/10.1590/s0100-69162012000200019.

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A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth

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Varentsov, Mikhail, Igor Esau, and Tobias Wolf. "High-Resolution Temperature Mapping by Geostatistical Kriging with External Drift from Large-Eddy Simulations." Monthly Weather Review 148, no. 3 (2020): 1029–48. http://dx.doi.org/10.1175/mwr-d-19-0196.1.

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Abstract Detailed temperature maps are required in various applications. Any temperature interpolation over complex terrain must account for differences in land cover and elevation. Local circulations and other small-scale factors can also perturb the temperature. This study considers the surface air temperature T mapping with geostatistical kriging. The kriging methods are implemented for both T and temperature anomalies ΔT, defined as difference between T at a given location and T at the same elevation in the free atmosphere. The study explores the parallelized atmospheric large-eddy simulat

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Young, Michael T., Matthew J. Bechle, Paul D. Sampson, et al. "Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression." Environmental Science & Technology 50, no. 7 (2016): 3686–94. http://dx.doi.org/10.1021/acs.est.5b05099.

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Giraldez, Eduardo, Maria Paz Freire, Carla Iglesias Comesaña, Javier Taboada Castro, and Angeles Saavedra Gonzalez. "Method for the Evaluation of the Reserve of a Metallurgical Quartz Deposit by Advanced Kriging Techniques." Key Engineering Materials 548 (April 2013): 31–38. http://dx.doi.org/10.4028/www.scientific.net/kem.548.31.

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There are several different methodologies for the evaluation of the reserve of a mineral deposit. Traditionally, classic methods of volume computation for mineral deposits have been used to evaluate the reserve according to its commercial quality. Nevertheless, in previous works it has been demonstrated the functionality of the advanced kriging techniques applied to granite batholiths. Comparing fuzzy kriging techniques with universal classical kriging, it was concluded that the fuzzy techniques had good results for planning the selective mining of the ornamental rock deposit. Since geostatist

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Samalot, Alexander, Marina Astitha, Jaemo Yang, and George Galanis. "Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States." Weather and Forecasting 34, no. 3 (2019): 587–601. http://dx.doi.org/10.1175/waf-d-18-0068.1.

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Abstract The scope of this study is to assess a combination of well-known techniques for bias reduction and spatial interpolation in an attempt to improve wind speed prediction for storms on a gridded domain. This is accomplished by implementing Kalman filter (KF) for bias reduction and universal kriging (UK) for spatial interpolation as postprocessing steps for the Weather Research and Forecasting (WRF) Model. It is shown that for surface wind speed, a linear KF is adequate for eliminating systematic model errors with the available storm history. KF-estimated wind speed biases at station loca

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Sampson, Paul D., Mark Richards, Adam A. Szpiro, et al. "A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology." Atmospheric Environment 75 (August 2013): 383–92. http://dx.doi.org/10.1016/j.atmosenv.2013.04.015.

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Laun, S., N. Rösch, M. Breunig, and M. Al Doori. "IMPLEMENTATION OF KRIGING METHODS IN MOBILE GIS TO ESTIMATE DAMAGE TO BUILDINGS IN CRISIS SCENARIOS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 211–16. http://dx.doi.org/10.5194/isprsarchives-xli-b2-211-2016.

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In the paper an example for the application of kriging methods to estimate damage to buildings in crisis scenarios is introduced. Furthermore, the Java implementations for Ordinary and Universal Kriging on mobile GIS are presented. As variogram models an exponential, a Gaussian and a spherical variogram are tested in detail. Different test constellations are introduced with various information densities. As test data set, public data from the analysis of the 2010 Haiti earthquake by satellite images are pre-processed and visualized in a Geographic Information System. As buildings, topography a

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Laun, S., N. Rösch, M. Breunig, and M. Al Doori. "IMPLEMENTATION OF KRIGING METHODS IN MOBILE GIS TO ESTIMATE DAMAGE TO BUILDINGS IN CRISIS SCENARIOS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 211–16. http://dx.doi.org/10.5194/isprs-archives-xli-b2-211-2016.

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In the paper an example for the application of kriging methods to estimate damage to buildings in crisis scenarios is introduced. Furthermore, the Java implementations for Ordinary and Universal Kriging on mobile GIS are presented. As variogram models an exponential, a Gaussian and a spherical variogram are tested in detail. Different test constellations are introduced with various information densities. As test data set, public data from the analysis of the 2010 Haiti earthquake by satellite images are pre-processed and visualized in a Geographic Information System. As buildings, topography a

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Jawak, S. D., and A. J. Luis. "Synergetic merging of Cartosat-1 and RAMP to generate improved digital elevation model of Schirmacher oasis, east Antarctica." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 517–24. http://dx.doi.org/10.5194/isprsarchives-xl-8-517-2014.

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Available digital elevation models (DEMs) of Antarctic region generated by using radar altimetry and the Antarctic digital database (ADD) indicate elevation variations of up to hundreds of meters, which necessitates the generation of local DEM and its validation by using ground reference. An enhanced digital elevation model (eDEM) of the Schirmacher oasis region, east Antarctica, is generated synergistically by using Cartosat-1 stereo pair-derived photogrammetric DEM (CartoDEM)-based point elevation dataset and multitemporal radarsat Antarctic mapping project version 2 (RAMPv2) DEM-based point

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Zhang, Zebin, Martin Buisson, Pascal Ferrand, and Manuel Henner. "Integration of Second-Order Sensitivity Method and CoKriging Surrogate Model." Mathematics 9, no. 4 (2021): 401. http://dx.doi.org/10.3390/math9040401.

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The global exploring feature of the surrogate model makes it a useful intermedia for design optimization. The accuracy of the surrogate model is closely related with the efficiency of optima-search. The cokriging approach described in present studies can significantly improve the surrogate model accuracy and cut down the turnaround time spent on the modeling process. Compared to the universal Kriging method, the cokriging method interpolates not only the sampling data, but also on their associated derivatives. However, the derivatives, especially high order ones, are too computationally costly

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Arieira, J., D. Karssenberg, S. M. de Jong, et al. "Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil." Biogeosciences 8, no. 3 (2011): 667–86. http://dx.doi.org/10.5194/bg-8-667-2011.

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Abstract. Development of efficient methodologies for mapping wetland vegetation is of key importance to wetland conservation. Here we propose the integration of a number of statistical techniques, in particular cluster analysis, universal kriging and error propagation modelling, to integrate observations from remote sensing and field sampling for mapping vegetation communities and estimating uncertainty. The approach results in seven vegetation communities with a known floral composition that can be mapped over large areas using remotely sensed data. The relationship between remotely sensed da

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Van Rooy, Dirk. "An Evaluation of the Importance of Transmissivity, Head and Concentration Data for Contaminant Transport Modelling." Hydrology Research 18, no. 3 (1987): 121–50. http://dx.doi.org/10.2166/nh.1987.0010.

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The 3 basic data types of contaminant hydrology are examined by stochastic modelling of a groundwater contamination case. The stochastic transport model, which is of the Monte Carlo type, uses a numerical flow and transport model, and views transmissivity as a random autocorrelated field. A large set of transmissivity realisations is generated using the turning bands technique. Conditioning is done with regard to transmissivity, head and concentration observations. The unconditional approach assumes, explicitly, a stationary stochastic process of logtransmissivity. This is implicitly turned in

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López Gómez, Javier, Francisco Troncoso Pastoriza, Enrique Granada Álvarez, and Pablo Eguía Oller. "Comparison between Geostatistical Interpolation and Numerical Weather Model Predictions for Meteorological Conditions Mapping." Infrastructures 5, no. 2 (2020): 15. http://dx.doi.org/10.3390/infrastructures5020015.

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Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coarser observations or predictions. Thus, choosing a suitable method for downscaling global data to local levels becomes essential to obtain accurate information. This work presents a deep analysis of the performance of two of these methods, commonly used in meteorology science: Universal Kriging geostatistical interpolation and Weather Research and F

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Abrahamsen, Petter, Ragnar Hauge, Knut Heggland, and Petter Mostad. "Estimation of Gross Rock Volume of Filled Geological Structures With Uncertainty Measures." SPE Reservoir Evaluation & Engineering 3, no. 04 (2000): 304–9. http://dx.doi.org/10.2118/65419-pa.

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Summary The gross rock volume of a filled structure is uncertain because of uncertainty in the determination of caprock depth and the uncertainty in depth to the hydrocarbon contact determined by the spill point of the caprock. Ignoring this uncertainty might lead to biased volume estimates. This paper reports two procedures to assist with assessing this uncertainty to obtain better estimates. The first is to use conditional simulation techniques to generate realizations of the depth to the caprock. The second procedure is a new fast algorithm that determines the location of the spill point an

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Zhang, Xin Yu, Yong Yin, Jin YiCheng, XiaoFeng Sun, and Ren HongXiang. "The Marine Safety Simulation based Electronic Chart Display and Information System." Abstract and Applied Analysis 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/586038.

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Navigation safety has a huge impact on the world economy and our everyday lives. One navigation safety simulation model in ECDIS based on international standard format (S-57) is put forward, which is mainly involved in route plan and route monitoring. The universal kriging interpolation is used in the route planning and to compute the water depth of any place in the sea bottom. The man-machine conversation method is taken to amend planned route to obtain autodeciding of feasibility according to ECDIS information, and the route monitoring algorithm is improved by enhancing its precision caused

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Miao, Liangliang, Xianzhong Chen, Shilong Zhao, and Zhenlong Bai. "Establish the multi-source data fusion model of the shape of blast furnace burden surface based on co-universal kriging estimation method." International Journal of Sensor Networks 15, no. 4 (2014): 231. http://dx.doi.org/10.1504/ijsnet.2014.064430.

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Doray, Mathieu, Pierre Petitgas, and Erwan Josse. "A geostatistical method for assessing biomassof tuna aggregations around moored fish aggregating devices with star acoustic surveys." Canadian Journal of Fisheries and Aquatic Sciences 65, no. 6 (2008): 1193–205. http://dx.doi.org/10.1139/f08-050.

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Universal kriging was used to model the spatio-temporal variability in the acoustic density of tuna aggregations recorded during star echosounding surveys around moored fish aggregating devices (FADs) in Martinique (Lesser Antilles). The large-scale deterministic drift in the tuna spatial distribution was modeled using an advection–diffusion equation applied to animal grouping. Residuals from the drift were modeled as a random component with small-scale spatial correlation. An estimation variance formula was derived from this deterministic–statistical mixed model to assess the mean precision o

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Szpiro, Adam A., Lianne Sheppard, and Thomas Lumley. "Efficient measurement error correction with spatially misaligned data." Biostatistics 12, no. 4 (2011): 610–23. http://dx.doi.org/10.1093/biostatistics/kxq083.

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Abstract Association studies in environmental statistics often involve exposure and outcome data that are misaligned in space. A common strategy is to employ a spatial model such as universal kriging to predict exposures at locations with outcome data and then estimate a regression parameter of interest using the predicted exposures. This results in measurement error because the predicted exposures do not correspond exactly to the true values. We characterize the measurement error by decomposing it into Berkson-like and classical-like components. One correction approach is the parametric boots

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Stähli, Manfred, Jesko Schaper, and Andreas Papritz. "Towards a snow-depth distribution model in a heterogeneous subalpine forest using a Landsat TM image and an aerial photograph." Annals of Glaciology 34 (2002): 65–70. http://dx.doi.org/10.3189/172756402781817923.

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AbstractFor landscapes with a complex topography and a heterogeneous forest mosaic it is not feasible to map the snow depth directly from optical satellite images. In this paper, an indirect method to predict the snow-depth distribution is presented and applied to a 0.7 km2 subalpine catchment in central Switzerland. The method consists of (a) a parsimonious linear regression model which includes the attributes of topography and vegetation indices (derived from a Landsat Thematic Mapper (TM) image) as explanatory variables, and (b) geostatistical interpolationtechniques. A previous analysis of

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Calka, Beata. "Estimating Residential Property Values on the Basis of Clustering and Geostatistics." Geosciences 9, no. 3 (2019): 143. http://dx.doi.org/10.3390/geosciences9030143.

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The article presents a two-stage model for estimating the value of residential property. The research is based on the application of a sequence of known methods in the process of developing property value maps. The market is divided into local submarkets using data mining, and, in particular, data clustering. This process takes into account only a property’s non-spatial (structural) attributes. This is the first stage of the model, which isolates local property markets where properties have similar structural attributes. To estimate the impact of the spatial factor (location) on property value

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Arieira, J., D. Karssenberg, S. M. de Jong, et al. "Integrating field sampling, spatial statistics and remote sensing to map wetland vegetation in the Pantanal, Brazil." Biogeosciences Discussions 7, no. 5 (2010): 6889–934. http://dx.doi.org/10.5194/bgd-7-6889-2010.

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Abstract. To improve the protection of wetlands, it is imperative to have a thorough understanding of their structuring elements and of the identification of efficient methods to describe and monitor them. This article uses sophisticated statistical classification, interpolation and error propagation techniques, in order to describe vegetation spatial patterns, map plant community distribution and evaluate the capability of statistical approaches to produce high-quality vegetation maps. The approach results in seven vegetation communities with a known floral composition that can be mapped over

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Mungi, Chinmay, Dejian Lai, and Xianglin L. Du. "Spatial Analysis of Industrial Benzene Emissions and Cancer Incidence Rates in Texas." International Journal of Environmental Research and Public Health 16, no. 15 (2019): 2627. http://dx.doi.org/10.3390/ijerph16152627.

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This paper presents a spatial analysis of the association between industrial benzene emissions and the 10-year incidence rates of cancers likely to be associated with benzene exposure (Lymphohematopoietic, lung and lip cancers) at the county level in Texas. The spatial distribution of incident cases of the above cancers between 2004 and 2013 was assessed at the county level and found to have positive spatial auto-correlation. Subsequently, point pattern analysis was performed on industrial emissions of benzene reported to the Toxic Release Inventory (TRI), revealing a non-random spatial patter

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Chihi, Hayet, Michel Tesson, Alain Galli, Ghislain de Marsily, and Christian Ravenne. "Geostatistical modelling (3D) of the stratigraphic unit surfaces of the Gulf of Lion western margin (Mediterranean Sea) based on seismic profiles." Bulletin de la Société Géologique de France 178, no. 1 (2007): 25–38. http://dx.doi.org/10.2113/gssgfbull.178.1.25.

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Abstract The purpose of this study is to build efficiently and automatically a three-dimensional geometric model of the stratigraphic units of the Gulf of Lion margin on the basis of geophysical investigations by a network of seismic profiles, using geostatistics. We want to show that geostatistics can produce unbiased maps of the morphology of submarine stratigraphic units, and furthermore that some specific features of these units can be found, that classical manual mapping may ignore. Depth charts of each surface identified by seismic profiling describe the geometry of these units. The geos

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Young*, Michael T., Matthew J. Bechle, Paul D. Sampson, Julian D. Marshall, Lianne A. Sheppard, and Joel D. Kaufman. "A National Prediction Model Based on Universal Kriging and Land-Use Regression Using Satellite- Based NO2 Measurements for Epidemiological Analysis of Long-Term Health Effects." ISEE Conference Abstracts 2014, no. 1 (2014): 2627. http://dx.doi.org/10.1289/isee.2014.o-314.

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Munir, Said, Martin Mayfield, and Daniel Coca. "Understanding Spatial Variability of NO2 in Urban Areas Using Spatial Modelling and Data Fusion Approaches." Atmosphere 12, no. 2 (2021): 179. http://dx.doi.org/10.3390/atmos12020179.

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Small-scale spatial variability in NO2 concentrations is analysed with the help of pollution maps. Maps of NO2 estimated by the Airviro dispersion model and land use regression (LUR) model are fused with measured NO2 concentrations from low-cost sensors (LCS), reference sensors and diffusion tubes. In this study, geostatistical universal kriging was employed for fusing (integrating) model estimations with measured NO2 concentrations. The results showed that the data fusion approach was capable of estimating realistic NO2 concentration maps that inherited spatial patterns of the pollutant from

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Yin, Shiyang, Xiaomin Gu, Yong Xiao, et al. "Geostatistics-based spatial variation characteristics of groundwater levels in a wastewater irrigation area, northern China." Water Supply 17, no. 5 (2017): 1479–89. http://dx.doi.org/10.2166/ws.2017.052.

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Although wastewater reuse in agriculture can ease water scarcity, this practice also alters the variation of groundwater recharge and groundwater levels. This study employed a geostatistical method to systematically investigate the spatio-temporal variations and storage fluctuations of groundwater in a wastewater irrigation area in a southeastern suburb of Beijing. Specifically, we generated an optimal geostatistical model for measuring groundwater levels. Furthermore, we proposed that universal kriging is a suitable method for examining groundwater spatial variations, whereas a raster-based m

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Ai, Songtao, Xi Ding, Florian Tolle, Zemin Wang, and Xi Zhao. "Latest Geodetic Changes of Austre Lovénbreen and Pedersenbreen, Svalbard." Remote Sensing 11, no. 24 (2019): 2890. http://dx.doi.org/10.3390/rs11242890.

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Geodetic mass changes in the Svalbard glaciers Austre Lovénbreen and Pedersenbreen were studied via high-precision real-time kinematic (RTK)-global positioning system (GPS) measurements from 2013 to 2015. To evaluate the elevation changes of the two Svalbard glaciers, more than 10,000 GPS records for each glacier surface were collected every year from 2013 to 2015. The results of several widely used interpolation methods (i.e., inverse distance weighting (IDW), ordinary kriging (OK), universal kriging (UK), natural neighbor (NN), spline interpolation, and Topo to Raster (TTR) interpolation) we

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Wimmer, F., S. Schlaffer, T. aus der Beek, and L. Menzel. "Distributed modelling of climate change impacts on snow sublimation in Northern Mongolia." Advances in Geosciences 21 (August 12, 2009): 117–24. http://dx.doi.org/10.5194/adgeo-21-117-2009.

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Abstract. Sublimation of snow is an important factor of the hydrological cycle in Mongolia and is likely to increase according to future climate projections. In this study the hydrological model TRAIN was used to assess spatially distributed current and future sublimation rates based on interpolated daily data of precipitation, air temperature, air humidity, wind speed and solar radiation. An automated procedure for the interpolation of the input data is provided. Depending on the meteorological parameter and the data availability for the individual days, the most appropriate interpolation met

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Musunuru, Anusha, Ran Wei, and Richard J. Porter. "Predicting Day and Night Traffic Volumes on Rural Roads for Statistical Road Safety Modeling." Transportation Research Record: Journal of the Transportation Research Board 2659, no. 1 (2017): 192–203. http://dx.doi.org/10.3141/2659-21.

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Statistical road safety modelers have commonly used some combination of segment length and traffic volume as measures of exposure. Traffic volume is usually represented in statistical road safety models with annual average daily traffic (AADT), which turns out to be a highly influential right-hand-side variable for regression models of expected crash frequency. Models that use AADT alone do not explicitly capture differences in traffic volume patterns throughout the 24-h day; this factor can have significant effects on safety performance. This study adds to the existing literature by developin

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Li, Yue, Shi Qi, Bin Liang, et al. "Dangerous degree forecast of soil loss on highway slopes in mountainous areas of the Yunnan–Guizhou Plateau (China) using the Revised Universal Soil Loss Equation." Natural Hazards and Earth System Sciences 19, no. 4 (2019): 757–74. http://dx.doi.org/10.5194/nhess-19-757-2019.

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Abstract. Many high and steep slopes are comprised of special topographic and geomorphic types and formed through mining activities during the construction of mountain expressways. Severe soil erosion may also occur under heavy rainfall conditions. Therefore, predicting soil loss on highway slopes is important in protecting infrastructure and human life. In this study, we investigate Xinhe Expressway located at the southern edge of the Yunnan–Guizhou Plateau. The Revised Universal Soil Loss Equation (RUSLE) is used as the prediction model for soil and water loss on slopes. Geographic informati

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Paula, Deborah Luiza Poletto de, Fernando Angelo Couto Cardoso, Rafael Balbino Cardoso, Giselle De Paula Queiroz Cunha, and Eliane Maria Vieira. "Modelagem Espacial da Velocidade do Vento a 50, 75 e 100 Metros de Altura para o Estado de Minas Gerais, Brasil, Empregando Geoestatística (Wind speed spacial modeling in the heights of 50, 75 and 100 meters in the state of Minas Gerais, Brazil, using...)." Revista Brasileira de Geografia Física 10, no. 4 (2017): 1281. http://dx.doi.org/10.26848/rbgf.v10.4.p1281-1295.

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Sendo considerada uma das alternativas energéticas mais promissoras na busca de soluções para reverter o quadro atual de mudanças climáticas, a energia eólica tem ganhado destaque no cenário mundial por ser uma fonte de energia renovável e limpa quando comparada com outros tipos de geração. O conhecimento do regime dos ventos é um dos elementos mais importantes na avaliação.do potencial eólico de uma região, contudo a instalação de torres de medição em quantidade e disposição adequada para estes estudos ainda apresentam um custo financeiro e logístico elevado, desta forma, o trabalho objetivou

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Myslyva, Tamara, Bronislava Sheluto, Olesya Kutsaeva, and Svetlana Naskova. "Use of Geospatial Analysis Methods in Land Management and Cadastre." Baltic Surveying 9 (December 5, 2018): 56–62. http://dx.doi.org/10.22616/j.balticsurveying.2018.019.

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The possibilities of using the geospatial analysis methods for visualizing land monitoring data and modelling the spatial distribution of the main agrochemical soil indicators are discussed in the article. The research was conducted within the limits of land use of RUP “Uchkhoz BGSHA” (Republic of Belarus, Mogilev region, Goretsky district). The total area of the surveyed territory was 3187.0 hectares. The geospatial analysis of the spatial distribution of humus, mobile phosphorus, mobile potassium and pHKCl was carried out using the Geostatistical Analyst module of the ArcGIS software. Semiva

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Agterberg, F. P. "Sampling and analysis of chemical element concentration distribution in rock units and orebodies." Nonlinear Processes in Geophysics 19, no. 1 (2012): 23–44. http://dx.doi.org/10.5194/npg-19-23-2012.

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Abstract. Existing sampling techniques applied within known orebodies, such as sampling along mining drifts, yield element concentration values for larger blocks of ore if they are extended into their surroundings. The resulting average concentration values have relatively small "extension variance". These techniques can be used for multifractal modeling as well as ore reserve estimation approaches. Geometric probability theory can aid in local spatial covariance modeling. It provides information about increase of variability of element concentration over short distances exceeding microscopic

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Palar, Pramudita Satria, and Koji Shimoyama. "On efficient global optimization via universal Kriging surrogate models." Structural and Multidisciplinary Optimization 57, no. 6 (2017): 2377–97. http://dx.doi.org/10.1007/s00158-017-1867-1.

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