Relevant bibliographies by topics / Geostatistics, Kriging

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Geostatistics, Kriging'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Geostatistics, Kriging"

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Syaeful, Heri, and Suharji Suharji. "Geostatistics Application On Uranium Resources Classification: Case Study of Rabau Hulu Sector, Kalan, West Kalimantan." EKSPLORIUM 39, no. 2 (2019): 131. http://dx.doi.org/10.17146/eksplorium.2018.39.2.4960.

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ABSTRACT In resources estimation, geostatistics methods have been widely used with the benefit of additional attribute tools to classify resources category. However, inverse distance weighting (IDW) is the only method used previously for estimating the uranium resources in Indonesia. The IDW method provides no additional attribute that could be used to classify the resources category. The objective of research is to find the best practice on geostatistics application in uranium resource estimation adjusted with geological information and determination of acceptable geostatistics estimation att
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Hardiyanthy, Sri Mulyanie, Dewi Sri Susanti, and Thresye Thresye. "ANALISIS KRIGING UNTUK MENDETEKSI POLA SPASIAL KASUS DBD DI KABUPATEN TANAH LAUT." JURNAL MATEMATIKA MURNI DAN TERAPAN EPSILON 13, no. 2 (2020): 1. http://dx.doi.org/10.20527/epsilon.v13i2.1646.

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Geostatistics is a data processing in geological field that contains spatial information in it. Spatial information is information that identifies geographical location, characteristics of natural conditions and boundaries of the earth. Geostatistics is used to handle regionalized variables. One of the method that used to handle regionalized variables is the kriging method. The kriging method has a lot of expansion in its development, including the Simple Kriging method and the Cokriging method. Both of these methods will be applied in case studies of spatial patterns of dengue in Tanah Laut D
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Amanipoor, Hakimeh. "PROVIDING A SUBSURFACE RESERVOIR QUALITY MAPS IN OIL FIELDS BY GEOSTATISTICAL METHODS." Geodesy and Cartography 39, no. 4 (2013): 145–48. http://dx.doi.org/10.3846/20296991.2013.859779.

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Under study reservoir oilfield is located south-west of Iran. This field is comprised of naturally fractured Asmari and Bangestan formation. Reservoir management and characteristic evaluation of this field requires good knowledge of reservoir rock and fluid properties. One of main methods to get such information is using known parameter and estimates this property in unknown area of reservoir by geostatistics and kriging method. In this research used the porosity parameter data from 36 oil wells that taken by well logging to estimate porosity parameter in unknown part of reservoir by geostatis
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Mazzella, Alessandro, and Antonio Mazzella. "The Importance of the Model Choice for Experimental Semivariogram Modeling and Its Consequence in Evaluation Process." Journal of Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/960105.

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Geostatistics was created during the second half of 20th century by Georges Matheron, on the basis of Danie Krige’s and Herbert Sichel’s theories. The purpose of this new science was to achieve an optimal evaluation of mining ore bodies. The interest in geostatistical tools has grown, and nowadays its techniques are applied in many branches of engineering where data analysis, interpolation, and evaluation are necessary. This paper presents an overview of the geostatistics approach in data analysis and describes each operative step from experimental semivariogram calculation to kriging interpol
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Soulié, M., P. Montes, and V. Silvestri. "Modelling spatial variability of soil parameters." Canadian Geotechnical Journal 27, no. 5 (1990): 617–30. http://dx.doi.org/10.1139/t90-076.

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The purpose of this study is to show that geostatistics can help in finding the structure of the spatial variability of the undrained shear strength within a clay deposit. The site under study, B-6, owes its name to the earth dam that will be constructed on it; the site is located on the shore of the Broadback River in the James Bay area of Quebec. The geostatistical analysis is carried out on the unaltered zone of the B-6 clay; it shows an anisotropic structure for the spatial variability. The knowledge of the structure (variogram) of the undrained shear strength is used in the kriging theory
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Skøien, J. O., R. Merz, and G. Blöschl. "Top-kriging - geostatistics on stream networks." Hydrology and Earth System Sciences 10, no. 2 (2006): 277–87. http://dx.doi.org/10.5194/hess-10-277-2006.

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Abstract. We present Top-kriging, or topological kriging, as a method for estimating streamflow-related variables in ungauged catchments. It takes both the area and the nested nature of catchments into account. The main appeal of the method is that it is a best linear unbiased estimator (BLUE) adapted for the case of stream networks without any additional assumptions. The concept is built on the work of Sauquet et al. (2000) and extends it in a number of ways. We test the method for the case of the specific 100-year flood for two Austrian regions. The method provides more plausible and, indeed
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Skøien, J. O., R. Merz, and G. Blöschl. "Top-kriging – geostatistics on stream networks." Hydrology and Earth System Sciences Discussions 2, no. 6 (2005): 2253–86. http://dx.doi.org/10.5194/hessd-2-2253-2005.

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Abstract. We present Top-kriging, or topological kriging, as a method for estimating streamflow-related variables in ungauged catchments. It takes both the area and the nested nature of catchments into account. The main appeal of the method is that it is a best linear unbiased estimator (BLUE) adapted for the case of stream networks without any additional assumptions. The concept builds on the work of Sauquet et al. (2000) and extends it in a number of ways. We test the method for the case of the specific 100-year flood for two Austrian regions. The method provides more plausible and, indeed,
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Brilliant, Edwin, Sanggeni Gali Wardhana, Alissa Bilqis, Alda Ressa Nurdianingsih, Rafif Rajendra Widya Daniswara, and Waskito Pranowo. "A Python Based Multi-Point Geostatistics by using Direct Sampling Algorithm." Jurnal Geofisika 18, no. 2 (2020): 49. http://dx.doi.org/10.36435/jgf.v18i2.446.

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Multi-Point Geostatistics (MPS) is a type of geostatistical method used to estimate the value of an unsampled location by utilizing several data points around it simultaneously. The MPS method estimates it by defining a model based on initial data in the form of a training image, which is a collection of data in the form of a geological conceptual model in the research area with the integration of geological and geophysical knowledge. The MPS method is currently starting to develop because it differs from conventional covariance-based geostatistical methods such as simple kriging and ordinary
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Abuntori, C. A., S. Al-Hassan, and D. Mireku-Gyimah. "Assessment of Ore Grade Estimation Methods for Structurally Controlled Vein Deposits - A Review." Ghana Mining Journal 21, no. 1 (2021): 31–44. http://dx.doi.org/10.4314/gm.v21i1.4.

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Resource estimation techniques have upgraded over the past couple of years, thereby improving resource estimates. The classical method of estimation is less used in ore grade estimation than geostatistics (kriging) which proved to provide more accurate estimates by its ability to account for the geology of the deposit and assess error. Geostatistics has therefore been said to be superior over the classical methods of estimation. However, due to the complexity of using geostatistics in resource estimation, its time-consuming nature, the susceptibility to errors due to human interference, the di
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Idir, Yacine Mohamed, Olivier Orfila, Vincent Judalet, Benoit Sagot, and Patrice Chatellier. "Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics." Sensors 21, no. 14 (2021): 4717. http://dx.doi.org/10.3390/s21144717.

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With the advancement of technology and the arrival of miniaturized environmental sensors that offer greater performance, the idea of building mobile network sensing for air quality has quickly emerged to increase our knowledge of air pollution in urban environments. However, with these new techniques, the difficulty of building mathematical models capable of aggregating all these data sources in order to provide precise mapping of air quality arises. In this context, we explore the spatio-temporal geostatistics methods as a solution for such a problem and evaluate three different methods: Simp
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Dissertations / Theses on the topic "Geostatistics, Kriging"

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Tolosana, Delgado Raimon. "Geostatistics for constrained variables: positive data, compositions and probabilities. Applications to environmental hazard monitoring." Doctoral thesis, Universitat de Girona, 2005. http://hdl.handle.net/10803/7903.

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Aquesta tesi estudia com estimar la distribució de les variables regionalitzades l'espai mostral i l'escala de les quals admeten una estructura d'espai Euclidià. Apliquem el principi del treball en coordenades: triem una base ortonormal, fem estadística sobre les coordenades de les dades, i apliquem els output a la base per tal de recuperar un resultat en el mateix espai original. Aplicant-ho a les variables regionalitzades, obtenim una aproximació única consistent, que generalitza les conegudes propietats de les tècniques de kriging a diversos espais mostrals: dades reals, positives o composi
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Bean, Brennan L. "Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7579.

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One critical consideration in the design of buildings constructed in the western United States is the weight of settled snow on the roof of the structure. Engineers are tasked with selecting a design snow load that ensures that the building is safe and reliable, without making the construction overly expensive. Western states use historical snow records at weather stations scattered throughout the region to estimate appropriate design snow loads. Various mapping techniques are then used to predict design snow loads between the weather stations. Each state uses different mapping techniques to c
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Müller, Werner, and Dale L. Zimmerman. "Optimal Design for Variogram Estimation." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/756/1/document.pdf.

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The variogram plays a central role in the analysis of geostatistical data. A valid variogram model is selected and the parameters of that model are estimated before kriging (spatial prediction) is performed. These inference procedures are generally based upon examination of the empirical variogram, which consists of average squared differences of data taken at sites lagged the same distance apart in the same direction. The ability of the analyst to estimate variogram parameters efficiently is affected significantly by the sampling design, i.e., the spatial configuration of sites where measurem
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Örn, Henrik. "Accuracy and precision of bedrock sur-face prediction using geophysics and geostatistics." Thesis, KTH, Mark- och vattenteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171859.

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In underground construction and foundation engineering uncertainties associated with subsurface properties are inevitable to deal with. Site investigations are expensive to perform, but a limited understanding of the subsurface may result in major problems; which often lead to an unexpected increase in the overall cost of the construction project. This study aims to optimize the pre-investigation program to get as much correct information out from a limited input of resources, thus making it as cost effective as possible. To optimize site investigation using soil-rock sounding three different
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Johansson, Björn. "Statistical Methods for Mineral Models of Drill Cores." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279848.

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In modern mining industry, new resource efficient and climate resilient methods have been gaining traction. Commissioned efforts to improve the efficiency of European mining is further helping us to such goals. Orexplore AB's X-ray technology for analyzing drill cores is currently involved in two such project. Orexplore AB wishes to incorporate geostatistics (spatial statistics) into their analyzing process in order to further extend the information gained from the mineral data. The geostatistical method implemented here is ordinary kriging which is an interpolation method that, given measured
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Queiroz, MarÃlia Lessa de Vasconcelos. "Thermal comfort of broiler chickens in sheds with misting system." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12708.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico<br>Para os animais expressarem melhor suas caracterÃsticas genÃticas à necessÃrio que estejam em um ambiente favorÃvel para isso. Apesar de no Estado do Cearà haver condiÃÃes ambientais favorÃveis à produÃÃo de frangos de corte, as temperaturas elevadas predominam durante todo o ano. O mecanismo de controle da temperatura corporal das aves sà à eficiente quando a temperatura do ambiente se encontra dentro de certos limites. A combinaÃÃo de elevadas temperaturas e elevada umidade relativa do ar pode afetar o bem-estar das aves e se t
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Azizi, Bin Abu Bakar. "POTENTIALLY TOXIC ELEMENT CONTAMINATION IN MALAYSIAN CLOSED URBAN LANDFILLS：GEOCHEMICAL INDICES AND GEOSTATISTICAL ANALYSIS." Kyoto University, 2020. http://hdl.handle.net/2433/252987.

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Sanches, Guilherme Martineli 1989. "Variabilidade espacial dos atributos do solo por meio da condutividade elétrica aparente." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256739.

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Orientadores: Paulo Sérgio Graziano Magalhãe, Armando Zaupa Remacre<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola<br>Made available in DSpace on 2018-08-27T21:34:19Z (GMT). No. of bitstreams: 1 Sanches_GuilhermeMartineli_M.pdf: 13551439 bytes, checksum: 1aa534b602f92044d4ea34bee5e63027 (MD5) Previous issue date: 2015<br>Resumo: Umas das ferramentas utilizadas na Agricultura de Precisão (AP) é a geoestatística, cujo principal objetivo é a descrição dos padrões espaciais e a estimativa de dados em locais não amostrados. Um dos fatores limitante
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Souza, Anelise de Lima. "Estudo do efeito de suavização da krigagem ordinária em diferentes distribuições estatísticas." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/44/44137/tde-31072007-150731/.

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Esta dissertação apresenta os resultados da investigação quanto à eficácia do algoritmo de pós-processamento para a correção do efeito de suavização nas estimativas da krigagem ordinária. Foram consideradas três distribuições estatísticas distintas: gaussiana, lognormal e lognormal invertida. Como se sabe, dentre estas distribuições, a distribuição lognormal é a mais difícil de trabalhar, já que neste tipo de distribuição apresenta um grande número de valores baixos e um pequeno número de valores altos, sendo estes responsáveis pela grande variabilidade do conjunto de dados. Além da distribuiç
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Oliveira, Saulo Batista de. "Estudos geoestatísticos aplicados à um depósito magmático de Ni-Cu." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/44/44137/tde-30032009-110920/.

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O depósito estudado é composto por uma suíte de rochas máfico-ultramáficas com mineralizações sulfetadas cupro-niquelíferas associadas, apresentando um extenso banco de dados com informações tanto de análises químicas e de densidade, quanto de descrição litológica para as amostras de sondagem diamantada. Este trabalho apresenta a aplicação de diferentes técnicas geoestatísticas com dois própositos distintos. Primeiramente, o cálculo dos recursos minerais do depósito através de krigagem ordinária, e segundo a apresentação de um modelo geológico gerado a partir de estimativa de litologias atravé
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Books on the topic "Geostatistics, Kriging"

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Introduction to disjunctive kriging and non-linear geostatistics. Clarendon Press, 1994.

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Olea, R. A. Geostatistics for engineers and earth scientists. Kluwer Academic, 1999.

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Oliver, Margaret A., and Richard Webster. Basic Steps in Geostatistics: The Variogram and Kriging. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15865-5.

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Montero, José-María, Gema Fernández-Avilés, and Jorge Mateu. Spatial and Spatio-Temporal Geostatistical Modeling and Kriging. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118762387.

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Basic Steps in Geostatistics: The Variogram and Kriging. Springer, 2015.

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Matheron, Georges. Matheron's Theory of Regionalised Variables. Edited by Vera Pawlowsky-Glahn and Jean Serra. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198835660.001.0001.

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This book has never been published before, although its contents have provided the basis for hundreds of papers, theses, and books on geostatistics. The chapters are based on the lectures of a summer course given by Georges Matheron in 1970; initially written in French, they were translated into English by Charles Huijbregts. They do not contain mathematical technicalities or practical case studies; instead, they present major topics like estimation variances, kriging systems, mining estimation, and intrinsic theory, all of which are established by simple proofs. The reader is invited to wonde
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Spatial and SpatioTemporal Geostatistical Modeling and Kriging Wiley Series in Probability and Statistics. John Wiley & Sons Inc, 2014.

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Mateu, Jorge, Jos�-Mar�a Montero, and Gema Fern�ndez-Avil�s. Spatial and Spatio-Temporal Geostatistical Modeling and Kriging. Wiley & Sons, Incorporated, John, 2015.

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Mateu, Jorge, Jos�-Mar�a Montero, and Gema Fern�ndez-Avil�s. Spatial and Spatio-Temporal Geostatistical Modeling and Kriging. Wiley & Sons, Incorporated, John, 2015.

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Geostatistical Analysis of Compositional Data (Studies in Mathematical Geology, 7). Oxford University Press, USA, 2004.

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Book chapters on the topic "Geostatistics, Kriging"

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Wackernagel, Hans. "Universal Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05294-5_38.

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Wackernagel, Hans. "Ordinary Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05294-5_11.

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Wackernagel, Hans. "Kriging Weights." In Multivariate Geostatistics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05294-5_12.

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Wackernagel, Hans. "Ordinary Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03550-4_12.

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Wackernagel, Hans. "Kriging Weights." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03550-4_13.

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Wackernagel, Hans. "Universal Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03550-4_31.

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Wackernagel, Hans. "Ordinary Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03098-1_11.

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Wackernagel, Hans. "Kriging Weights." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03098-1_12.

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Wackernagel, Hans. "Universal Kriging." In Multivariate Geostatistics. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03098-1_28.

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Marques da Silva, José Rafael, and Manuela Correia. "Basics of geostatistical analyses with GIS." In Manuali – Scienze Tecnologiche. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.27.

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The goal of Geostatistic is to predict the spatial distribution of a property. In this topic we are going to study two types of Spatial Analysis: i) Conventional Analysis (Nongeostatistical); ii) Spatial Continuity Analysis (Geostatistical). We will also try to understand what are Experimental variograms (Nugget; Range and Sill), Variogram models (basic variogram functions) and Estimation (Kriging). The video includes an Exercise. The materials for this topic are a slide presentation, a video with an exercise resolution using geostatistics and two guidebooks.
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Conference papers on the topic "Geostatistics, Kriging"

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Vigsnes*, M., P. Abrahamsen, V. L. Hauge, and O. Kolbjornsen. "Efficient Neighborhoods for Kriging with Numerous Data." In Petroleum Geostatistics 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413660.

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Grujic*, O., and J. Caers. "Kriging Unconventional Production Decline Rate from Geological and Completion Parameters." In Petroleum Geostatistics 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413601.

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Piazza*, J. L., C. Magneron, T. Demongin, and N. A. Müller. "M-Factorial Kriging - An Efficient Aid to Noisy Seismic Data Interpretation." In Petroleum Geostatistics 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413594.

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Menafoglio, A., O. Grujic*, and J. Caers. "Forecasting Production Decline Rate in Unconventional Resources by Kriging of Functional Data." In Petroleum Geostatistics 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413635.

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Ochie, Karen Ifeoma, and Oluwatosin John Rotimi. "Geostatistics – Kriging and Co-Kriging Methods in Reservoir Characterization of Hydrocarbon Rock Deposits." In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/193483-ms.

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Yu, B., H. Zhou, N. Wang, H. M. Wang, H. Y. Wang, and L. Q. Wang. "Seismic Inversion Combining Kriging Interpolation and Multiple-point Geostatistics." In 79th EAGE Conference and Exhibition 2017. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701012.

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Desnoyers, Yvon, and Didier Dubot. "Geostatistical Methodology for Waste Optimization of Contaminated Premises." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59344.

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The presented methodological study illustrates a geostatistical approach suitable for radiological evaluation in nuclear premises. The waste characterization is mainly focused on floor concrete surfaces. By modeling the spatial continuity of activities, geostatistics provide sound methods to estimate and map radiological activities, together with their uncertainty. The multivariate approach allows the integration of numerous surface radiation measurements in order to improve the estimation of activity levels from concrete samples. This way, a sequential and iterative investigation strategy pro
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Barbato, G., E. M. Barini, P. Pedone, D. Romano, and G. Vicario. "Sampling Point Sequential Determination by Kriging for Tolerance Verification With CMM." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59417.

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Coordinate Measuring Machines (CMM) are widely used in industry, mainly for assessing product’s compliance to geometrical specifications. They are a de-facto standard for such a control, owing to their high accuracy and flexibility in catering to different measurement tasks with fast and easy setup change. One of the key aspects of any CMM inspection plan, affecting accuracy and cost, is the choice of the measurement strategy, namely the definition of the number and the location of the points sampled on the part’s surface. In the industrial practice, such important decisions are usually left t
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Valéria Cristina Rodrigues, Frederico Márcio Correa Vierira, Giselle Borges, Iran José Oliveira da Silva, and Kesia Oliveira da Silva. "Geostatistics and Kriging Techniques for Welfare Analysis of Chickens through Enthalpy Distribution in State of São Paulo, Brazil." In Livestock Environment VIII, 31 August - 4 September 2008, Iguassu Falls, Brazil. American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.25595.

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Mazzella, Alessandro, and Antonio Mazzella. ""Kriging Assistant": A Geostatistical Analysis and Evaluation Tool." In GeoShanghai International Conference 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41105(378)26.

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