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DTSTART;VALUE=DATE:20191118
DTEND;VALUE=DATE:20191123
DTSTAMP:20190819T012427
CREATED:20190604T201902Z
LAST-MODIFIED:20190806T142037Z
UID:5933-1574035200-1574467199@www.prstatistics.com
SUMMARY:Geostatistics - Handling Spatial and Spatial-temporal data Using R (GSFE01)
DESCRIPTION:\nCourse Overview:\nThis 5-day course will cover the concepts\, methods\, and R tools that can be used to analyse spatial and spatiotemporal data through Geostatistic. The course will review data processing techniques relevant to spatial and spatiotemporal data sets. Following\, we will cover spatial interpolation methods such as inverse distance weighted interpolation as well as simple\, ordinary and universal kriging\, sequential Gaussian (co)simulation and sequential indicator (co)simulation. Through these different interpolation methods\, we will learn about the different types of variograms and variogram models including directional and omnidirectional variograms. As advance topic\, depending on time and interest\, we will discuss about spatial modelling of stream networks using \texttt{SSN} and spatial and spatiotemporal modelling of large data using \texttt{INLA}. \n\n\nIntended Audience\nComing soon… \nVenue –The Fort Garry Hotel (222 Broadway Winnipeg R3C 0R3\, Canada) – Google Map\n\nAvailability – 35 places \nDuration – 5 days \nContact hours – Approx. 35 hours \nECT’s – Equal to 3 ECT’s \nLanguage – English \nPackages\nWe only offer a COURSE ONLY package for this course.\n• COURSE ONLY – Includes lunch and refreshments. \nAccommodation can be booked at The Fort Garry Hotel (222 Broadway Winnipeg R3C 0R3\, Canada) \nTo book ‘COURSE ONLY’ please scroll to the bottom of this page. \nOther payment options are available please email oliverhooker@prstatistics.com \nPLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PR statistics) will be credited. However\, PR statistics will not be held responsible/liable for any travel fees\, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PR statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable. \n\n\n\n \n\n\n\nDr. Guiallume Blanchet\n\n\n \n\n\n\nTeaching Format\n\nIntroductory lectures on the concepts and refreshers on R usage. Intermediate-level lectures interspersed with hands-on mini practicals and longer projects. Data sets for computer practicals will be provided by the instructors\, but participants are welcome to bring their own data. \nAssumed quantitative knowledge \nIntermediate skills in quantitative analyses and computer programming. To be more specific\, you need to\nknow what a regression is and how it works and how to perform it in R. \nAssumed computer background \nBasic understanding and experience using R. \nEquipment and software requirements \nA laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links\nhttps://cran.r-project.org/\nDownload RStudio \nUNSURE ABOUT SUITABLILITY THEN PLEASE ASK oliverhooker@prstatistics.com \n\n\n\nCourse Programme\n\nMonday 21st – Classes from 09:30 to 17:30 \nMorning – Structure of spatial and spatiotemporal data\n— Theory\n— Points\, lines\, polygons\, raster\n— Coordinates and projections\n— Practice using the following R package\n— sp\n— spacetime\n— sf \nAfternoon – Inverse distance weighted interpolation\n— Theory\n— Illustration\n— Practice using the gstat R package \nTuesday 22nd – Classes from 09:30 to 17:30 \nMorning – Variogram\n— Theory\n— Lagged scatter plot\n— Cloud variogram\n— Sample variogram\n— Model variogram\n— Practice using the gstat R package \nAfternoon – First steps into spatial interpolation\n— Inverse distance weighted interpolation\n— (Local) trend surface prediction\n— Theory\n— Illustration\n— Practice using the gstat R package \nWednesday 23rd – Classes from 09:30 to 17:30 \nMorning – Variogram\n— Theory\n— Lagged scatter plot\n— Cloud variogram\n— Sample variogram\n— Model variogram\n— Directional variogram\n— spatiotemporal variogram\n— Practice using the gstat R package \nAfternoon – Kriging\n— Simple kriging\n— Ordinary kriging\n— Universal kriging\n— Theory\n— Illustration\n— Practice using the gstat R package \nThursday 24th – Classes from 09:30 to 17:30 \nMorning – Simulations\n— Sequential Gaussian simulations\n— Sequential indicator simulations\n— Theory\n— Illustration\n— Practice using the gstat R package \nThe last 1.5 days can either focus on spatial and spatiotemporal geostatistics for large datasets or spatial\nmodelling for stream networks. \nOption 1 – Spatial and spatiotemporal geostatistics for large datasets \nThursday 24th – Afternoon\n— The problems of large datasets\n— Model estimation using integrated nested Laplace approximation (INLA)\n— Theoretical foundation in using INLA in a geostatistics context \nFriday 25th – Morning\n— Ingredients to build a geostatistical model with the INLA R package\n— A spatial model with the INLA R package\n— A spatiotemporal model with the INLA R package \nFriday 25th – Afternoon\n— Practical using the INLA R package \nOption 2 – Spatial modelling for stream networks\nThursday 24th – Afternoon\n— The particularities of stream networks\n— Geostatistical theory for stream network \nFriday 25th – Morning\n— The Torgegram\n— Spatial stream prediction \nFriday 25th – Afternoon\n— Practical using SSN \n\n\n\n\nTestimonial\n“This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got on statistics. I feel like I’ve got a much better understanding of what I should focus on\, what I should consider and how to interpret the model outputs. Specific stress was put on to exploring and understanding data prior to doing any modelling\, which was a bit of an eye-opener for me.\nThe instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had\, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised\, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things\, I’ve also had a very good time during the week there.”Clement Garcia\,\nSpatial ecologist\, Centre For Environment\, Fisheries & Aquaculture Science (CEFAS)\, England\n(Attended ADVR course)\n\n\n\n\n
URL:https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/
LOCATION:222 Broadway\, Winnipeg\, Winnipeg\, MB R3C 0R3\, Canada
ATTACH;FMTTYPE=image/jpeg:https://www.prstatistics.com/wp-content/uploads/2019/06/gsfe01.jpg
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