{"id":1434,"date":"2022-03-07T14:34:32","date_gmt":"2022-03-07T14:34:32","guid":{"rendered":"https:\/\/hylab.infinitodesign.net\/2022\/03\/07\/introduction-to-geostatistics-course-at-parma-2-6-may-2022\/"},"modified":"2022-08-09T16:41:24","modified_gmt":"2022-08-09T16:41:24","slug":"introduction-to-geostatistics-course-at-parma-2-6-may-2022-2","status":"publish","type":"post","link":"http:\/\/hylabnew.unipr.it\/en\/2022\/03\/07\/introduction-to-geostatistics-course-at-parma-2-6-may-2022-2\/","title":{"rendered":"Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022"},"content":{"rendered":"\n<p class=\"has-medium-font-size\"><strong>University of Parma \u2013 May 2-6, 2022<\/strong><\/p>\n\n<p class=\"has-medium-font-size\"><strong>Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022<\/strong><\/p>\n\n<p class=\"has-medium-font-size\"><strong>Lecturer prof. J. Jaime G\u00f3mez-Hern\u00e1ndez<\/strong><\/p>\n\n<p>This short course aims at introducing the basic and theoretical concepts of Geostatistics, its main applications in estimation processes, uncertainty modelling and stochastic simulations.<\/p>\n\n<p>The course combines theory and practice, with the hands-on analysis of a case study. The attendees will be introduced to the open-source geostatistical package SGeMS (Stanford geostatistical modelling software) that will be used during the practical exercises.<\/p>\n\n<p>The course is organized in remote video-lessons that the attendant can follow by alone in an accessibility period of three days. Every two\/three lessons, practice sessions and tutoring held in presence at the Campus of the Parma University by the teacher will be carried out.<\/p>\n\n<p><strong>The course is scheduled to run from 2 to 6 May 2022 and the in presence sessions will be held on 3, 5, 6 May 2022.<\/strong><\/p>\n\n<figure class=\"wp-block-image alignright\"><a href=\"https:\/\/i0.wp.com\/hylabnew.unipr.it\/wp-content\/uploads\/2019\/03\/3KL_case3.png\"><img src=\"https:\/\/i0.wp.com\/hylabnew.unipr.it\/wp-content\/uploads\/2019\/03\/3KL_case3.png?resize=218%2C300\" alt=\"3KL_case3\" class=\"wp-image-998\" data-recalc-dims=\"1\"\/><\/a><\/figure>\n<h2>Who is it for?<\/h2>\n\n<p>Mainly for PhD students in engineering and earth sciences. The contents are also of interest to postdocs and researchers active in the field of engineering, environmental sciences and water resources.<\/p>\n\n<p>The PhD Course on Civil Engineering and Architecture of the University of Parma (Italy) will recognize 5 ECTS to those attending the classes and passing a final exam.<\/p>\n\n<h2>Geostatistics<\/h2>\n\n<p>Geostatistics is a branch of statistics aimed at studying and describing stochastic processes, associated with spatial, temporal or spatiotemporal variability that show autocorrelation. The origin of geostatistics can be ascribed to the practical need of describing spatial patterns and interpolating values on those locations where sample where not available in the mining industry. The discipline has rapidly evolved beyond interpolation into stochastic simulation and uncertainty quantification. Nowadays, applications of geostatistics are common in many engineering, earth and environmental science and health areas such as: mining industry, topographic surveys, environmental science, mapping of soil and groundwater pollution, hydrology, ecology, agriculture, meteorology, public health, epidemiology, etc.<\/p>\n\n<h2>Course detailed Program<\/h2>\n\n<p>The course is organized in remote video-lessons that the attendant can follow by alone in an accessibility period of three days. Every two\/three lessons, practice sessions and tutoring held in presence at the Campus of the Parma University by the teacher will be carried out.<\/p>\n\n<p>The schedule will be as follows (detailed Syllabus <a href=\"https:\/\/dia.unipr.it\/sites\/st27\/files\/allegatiparagrafo\/28-02-2022\/gomez_geostatistics_syllabus_2022.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>):<\/p>\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Monday 2 May \u2013 morning<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 1 VIRTUAL. Introduction. Recall of univariate and bivariate statistics. The need of spatial statistics. 4 hours. <\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong><h4><span style=\"color: #3366ff;\"><strong>Monday 2 May \u2013 afternoon<\/strong><\/span><\/h4><\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 2 VIRTUAL. Characterization of spatial continuity. The variogram. Variogram models. 4 hours.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Tuesday 3 May \u2013 in-person at S. Elisabetta Conference center -10:00-12:00<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 3 IN-PERSON. Q&amp;A on Session 1. Introduction to SGeMS. Hands-on exercise on basic statistics calculation and variogram modeling. 2 hours.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Tuesday 3 May \u2013 afternoon<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 4 VIRTUAL. Modeling spatial continuity. The random function model. Stationarity and ergodicity. The multiGaussian random function model. 2 hours. Tuesday afternoon.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Wednesday 4 May \u2013 morning and afternoon<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 5 VIRTUAL. Estimation. Ordinary kriging. Other flavors of kriging. 6 hours.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Thursday 5 May \u2013 in-person at S. Elisabetta Conference center -10:00-13:00<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 6 IN-PERSON. Q&amp;A on Sessions 3 and 4. Hands-on estimation exercise. 3 hours.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Thursday 5 May \u2013 afternoon<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 7 VIRTUAL. Modeling local uncertainty. MultiGaussian kriging. Indicator kriging. Modeling global uncertainty. 3 hours.<\/strong><\/span><\/h4> <h4><span style=\"color: #666699;\"><strong>SESSION 8 VIRTUAL. Stochastic simulation. Sampling from a random function model. Sequential simulation. 3 hours.<\/strong><\/span><\/h4> <\/td><\/tr><tr><td> <h4><span style=\"color: #3366ff;\"><strong>Friday 6 May \u2013 in-person at S. Elisabetta Conference center -10:00-12:00<\/strong><\/span><\/h4> <\/td><td> <h4><span style=\"color: #666699;\"><strong>SESSION 9 IN-PERSON. Q&amp;A on Sessions 6 and 7. Hands-on simulation exercise. 3 hours.<\/strong><\/span><\/h4> <\/td><\/tr><\/tbody><\/table><\/figure>\n<h2>Venue<\/h2>\n\n<p>The lessons in presence will take place at the <a href=\"https:\/\/www.google.it\/maps\/place\/Universit%C3%A0+degli+Studi+di+Parma+-+Parco+Area+delle+Scienze\/@44.7676266,10.2820968,13z\/data=!4m8!1m2!2m1!1sCampus+University+of+Parma!3m4!1s0x0:0x81265bbde3ccbdb1!8m2!3d44.765597!4d10.3097785\">Campus of the University of Parma<\/a>, in the <a href=\"https:\/\/www.google.it\/maps\/place\/Santa+Elisabetta\/@44.7662334,10.307338,17z\/data=!3m1!4b1!4m5!3m4!1s0x47806b6514e1c0c9:0xcf8ab0c5f3ddc870!8m2!3d44.7662245!4d10.309546\">S. Elisabetta Conference Center<\/a> on Tuesday 3 May (10:00-12:00), Thursday 5 May (10:00-13:00), Friday 6 May (10:00-13:00), 2022.<\/p>\n\n<p>Address: Parco Area delle Scienze, 43124, Parma, PR<\/p>\n\n<h2>Contact person<\/h2>\n\n<p>Prof. Maria Giovanna Tanda, Department of Architecture and Engineering, University of Parma (Italy).<br\/><a href=\"mailto:mariagiovanna.tanda@unipr.it\">mariagiovanna.tanda@unipr.it<\/a> .<\/p>\n\n<h2>Registrazione<\/h2>\n\n<p>The number of participants is limited to 30. Admission is granted in priority to doctoral students of the University of Parma and to those who will attend lectures in person. There is no registration fee for the course, but participants must cover their own travel and subsistence costs.<\/p>\n\n<p>Participants have to register before April 10th, 2022 at the following link:<br\/><a href=\"https:\/\/forms.gle\/y4tabYjFDALaa1WZ9\">https:\/\/forms.gle\/y4tabYjFDALaa1WZ9<\/a><\/p>\n\n<h2>Attendee requirements<\/h2>\n\n<p>The course will be held in English. Course attendees are required to have available their own laptop for the practical exercises.<\/p>\n\n<h2>Course Lecturer<\/h2>\n\n<p><em>Prof. J. Jaime G\u00f3mez-Hern\u00e1ndez<\/em><\/p>\n\n<figure class=\"wp-block-image alignleft\"><a href=\"https:\/\/i0.wp.com\/hylabnew.unipr.it\/wp-content\/uploads\/2019\/03\/Jaime.jpg\"><img src=\"https:\/\/i0.wp.com\/hylabnew.unipr.it\/wp-content\/uploads\/2019\/03\/Jaime.jpg\" alt=\"J. Jaime G&#xF3;mez-Hern&#xE1;ndez\" class=\"wp-image-997\" data-recalc-dims=\"1\"\/><\/a><\/figure>\n<p>Professor J. Jaime G\u00f3mez-Hern\u00e1ndez received his Civil Engineering Degree from Universitat Polit\u00e8cnica de Val\u00e8ncia in 1983, then he continued his studies at Stanford University where he got an MS. Sc. in Applied Hydrogeology in 1988 and a Ph. D. in Geostatistics in 1991. Upon his return to Spain, he joined the faculty of the School of Civil Engineering of the Universitat Polit\u00e8cnica de Val\u00e8ncia where he became full professor of Hydrogeology in 2000. Currently, he is the head of the Hydrogeology Group of the Institute for Water and Environmental Engineering. His research has focused in the fields of geostatistics, upscaling, stochastic simulation, inverse modeling, nuclear waste disposal, uncertainty quantification and stochastic hydrogeology. His list of publications can be consulted in Google Scholar (user=PBHrWdMAAAAJ), Orcid (0000-0002-0720-2196) or Scopus (7005555097).<\/p>\n\n<p>h-index: 39 (according to Google Scholar)Number of cites: 5800 (according to Google Scholar)<\/p>\n\n<p>He has served as associate editor for the Journal of Hydrology, Hydrogeology Journal, Mathematical Geology and Spatial Statistics, currently belongs to the Editorial Board of Mathematical Geosciences, Advances in Water Resources, and Springer Nature Applied Sciences. He has served as Secretary of the Hydrology Section of the European Geophysical Society; he has been Vicerrector of the Universitat Polit\u00e8cnica de Val\u00e8ncia in two occasions and he has been Director General for Scientific and Technological Infrastructures for the Valencian Regional Government. Currently, he is President of the Geostatistics for Environmental Applications International Association (geoENVia). He has organized the 1988 and 2012 Conference on Geostatistcs for Environmental Applications, the 2010 IAHR Groundwater Symposium, the 2016 10th International Congress on Geostatistics, the 2019 Interpore Annual Congress, the 2019 AIH Annual Congress, and the 2019 AGU Chapman Conference on Aquifer sustainability. He received the Spanish Ministry of Education award to best civil engineer graduate of the class of 1983; he has been recognized as Excellent Reviewer, by the Editorial Boards of Water Resources Research and Advances in Water Resources, and as a Sentinel of Science in Environmental Science by Publons. He received the Centennial Prize to Teaching Assistants by Stanford University, and the Prize for Research in Waste Disposal by the Valencian Government.<\/p>\n\n<p>In 2021 he was the Groundwater prize winner of the prestigious award Prince Sultan Bin Abdulaziz International Prize for Water. In 2022 he is the winner of the Pioneer in Groundwater Award of the American Society of Civil Engineer (ASCE).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>University of Parma \u2013 May 2-6, 2022 Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022 Lecturer prof. J. Jaime G\u00f3mez-Hern\u00e1ndez This short course aims at introducing the basic and theoretical concepts of Geostatistics, its main applications in estimation processes, uncertainty modelling and stochastic simulations. The course combines theory and practice, with the hands-on &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"http:\/\/hylabnew.unipr.it\/en\/2022\/03\/07\/introduction-to-geostatistics-course-at-parma-2-6-may-2022-2\/\"> <span class=\"screen-reader-text\">Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":null,"stick-header-meta":null,"header-above-stick-meta":null,"header-main-stick-meta":null,"header-below-stick-meta":null},"categories":[21],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022 - HyLab<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022 - HyLab\" \/>\n<meta property=\"og:description\" content=\"University of Parma \u2013 May 2-6, 2022 Introduction to Geostatistics \u2013 Course at Parma 2-6 May 2022 Lecturer prof. 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J. Jaime G\u00f3mez-Hern\u00e1ndez This short course aims at introducing the basic and theoretical concepts of Geostatistics, its main applications in estimation processes, uncertainty modelling and stochastic simulations. 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J. Jaime G\u00f3mez-Hern\u00e1ndez This short course aims at introducing the basic and theoretical concepts of Geostatistics, its main applications in estimation processes, uncertainty modelling and stochastic simulations. 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