BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PR Statistics - ECPv6.10.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:PR Statistics X-ORIGINAL-URL:https://prstats.preprodw.com X-WR-CALDESC:Events for PR Statistics REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20231029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20230223 DTEND;VALUE=DATE:20230225 DTSTAMP:20260419T051742 CREATED:20200617T005308Z LAST-MODIFIED:20230214T123352Z UID:10000310-1677110400-1677283199@prstats.preprodw.com SUMMARY:ONLINE COURSE - Making Beautiful And Effective Maps In R (MAPR04) This course will delivered live DESCRIPTION:Delivered remotely (Poland)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nThursday\, February 23rd\, 2023\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nTime Zone\nTIME ZONE – `Central European Standard Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow. \nPlease email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you). \n \n \n \n \n \n \n \n \n \n \n About This Course\n The aim of the course is to show you how to use R to make pretty\, yet appealing maps using the R programming language. Several R packages related to spatial data processing and visualization will be introduced during the course. The course will teach you how create publication-ready static maps\, animated maps\, interactive maps\, and simple map applications using a mixture of lectures and computer exercises. \nBy the end of the course participants should: \n\nUnderstand the basic concepts behind the tmap package\nBe able to create a variety types of static maps\, including raster maps\, choropleth maps\, and point maps\nKnow how to create interactive maps and simple map applications using the shiny package\nBe able to create facet maps and map animations to represent spatiotemporal phenomenon\nKnow how to utilize  specific-purpose mapping packages to create cartograms or grid maps\nHave the confidence to apply map making skills to their own projects\n\n \n \n \n \n \n Intended Audiences\n Academics and post-graduate students working on projects related to spatial data and want to create publication-ready maps\, interactive maps for their websites\, or simple mapping web applications \nApplied researchers and analysts in public\, private or third-sector organizations who need the reproducibility\, speed and flexibility of a command-line language such as R to quickly create maps for their reports or websites \nThe course is designed for intermediate R users interested in maps making and R beginners who have prior experience with geographic data. \n \n \n \n \n \n Venue\n Delivered remotely \n \n \n \n \n \n Course Details\n Availability – 20 places \nDuration – 2 days \nContact hours – Approx. 16 hours \nECT’s – Equal to 1.5 ECT’s \nLanguage – English \n \n \n \n \n \n Teaching Format\n The course will be a mixture of theoretical and practical. Each concept will be first described and explained\, and next the attendees will exercise the topics using provided data sets.\n \n \n \n \n \n Assumed quantitative knowledge\n Understanding basic GIS concepts\, such as spatial vector\, spatial raster\, coordinate reference systems would be beneficial\, but is not necessary. \n \n \n \n \n \n Assumed computer background\n Attendees should already have experience with R and be able to read csv files\, create simple plots\, and manipulate data frames.  \nHowever\, if you do not have R experience but already use GIS software and have a strong understanding of geographic data types\, and some programming experience\, the course may also be appropriate for you \n \n \n \n \n \n Equipment and software requirements\n \nA laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs\, Macs\, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/. \n\n\nAll the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed\, and a full list of required packages will be made available to all attendees prior to the course. \n\n\nA working webcam is desirable for enhanced interactivity during the live sessions\, we encourage attendees to keep their cameras on during live zoom sessions. \n\n\nAlthough not strictly required\, using a large monitor or preferably even a second monitor will improve he learning experience \n\n\nDownload R \n\n\nDownload RStudio \n\n\nDownload Zoom \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations 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 will be credited. \n \n \n \n \n \n \nIf you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n \n \n \n \n \n \n \n \n \n \n Thursday 24th\n Classes from 09:00 to 17:00Introduction to mapping packages in RMaking static mapsApplying point\, lines\, polygons\, and raster map layersCustomizing mapsCreating interactive mapsSaving maps \n \n \n \n \n \n Friday 25th\n Classes from 09:00 to 17:00Making facet mapsCreating animated mapsMaking inset mapsUsing specific-purpose mapping packagesCreating simple map applicationsOther mapping packages in R \n \n \n \n \n \n \n \n \n Jakub Nowosad\n Works at: Adam Mickiewicz University \n Jakub Nowosad is a computational geographer working at the intersection between geocomputation and the environmental sciences. His research is focused on developing and applying spatial methods to broaden understanding of processes and patterns in the environment. A vital part of his work is to create\, collaborate\, and improve geocomputational software. He is an active member of the #rspatial community and a co-author of the Geocomputation with R book. \nResearchGateGoogleScholarORCIDLinkedInGitHub \n \n \n \n \n \n \n \n \n \n \n \n \n Teaches\n \nIntroduction to spatial analysis of ecological data using R (ISPE)\nMaking beautiful and effective maps in R (MAPR\nAdapting to the recent changes in R spatial packages (sf\, terra\, PROJ library) (PROJ\n\n \n \n \n \n \n Teaches\n \nIntroduction to spatial analysis of ecological data using R (ISPE)\nMaking beautiful and effective maps in R (MAPR\nAdapting to the recent changes in R spatial packages (sf\, terra\, PROJ library) (PROJ URL:https://prstats.preprodw.com/course/making-beautiful-and-effective-maps-in-r-mapr04/ LOCATION:Delivered remotely (Poland)\, Central European Summer Time\, Poland CATEGORIES:Live Online Courses ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/MAPR03R.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220711 DTEND;VALUE=DATE:20220715 DTSTAMP:20260419T051743 CREATED:20200410T193910Z LAST-MODIFIED:20221019T102457Z UID:10000306-1657497600-1657843199@prstats.preprodw.com SUMMARY:ONLINE COURSE - Introduction to spatial analysis of ecological data using R (ISPE05) This course will delivered live DESCRIPTION:Delivered remotely (Poland)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nMonday\, July 11th\, 2022\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nCourse Program\nTIME ZONE – UTC+2 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you). \n \n \n \n \n \n \n \n \n \n \n About this course\n The aim of the course is to introduce you to a spatial data processing\, analysis\, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures\, computer exercises and case studies. \nBy the end of the course participants should: \n\nUnderstand the basic concepts of spatial data analysis\nKnow R’s spatial capabilities\nUnderstand how to import a range of spatial data sources into R\nBe confident with using R’s command-line interface (CLI) for spatial data processing\nBe able to perform a range of attribute operations (e.g. subsetting and joining)\, spatial operations (e.g. distance relations\, topological relations)\, and geometry operations (e.g. clipping\, aggregations)\nUnderstand coordinate reference systems (CRSs)\, be able to decide which CRS to use\, and how to reproject spatial data\nKnow how to visualize the results of a spatial analysis in the form of static and interactive maps\nHave the confidence to apply spatial analysis skills to their own projects\n\n \n \n \n \n \n Intended Audiences\n Academics and post-graduate students working on projects related to spatial data and want access to a powerful (geo)statistical and visualization programming language. \nApplied researchers and analysts in public\, private or third-sector organizations who need the reproducibility\, speed and flexibility of a command-line language such as R. \nThe course is designed for intermediate-to-advanced R users interested in spatial data analysis and R beginners who have prior experience with geographic data. \n \n \n \n \n \n Venue\n Delivered remotely \n \n \n \n \n \n Course Details\n Venue – Delivered remotely \nTime zone – Poland local time (UTC+2) \nAvailability – 20 places \nDuration – 4 days \nContact hours – Approx. 27 hours \nECT’s – Equal to 2 ECT’s \nLanguage – English \n \n \n \n \n \n Teaching Format\n \n\nThe course will be a mixture of theoretical and practical. Each concept will be first described and explained\, and next there will be a time to exercise the topics using provided data sets. Participants are also very welcome to bring their own data. \n\n\n \n \n \n \n \n Assumed quantitative knowledge\n The course is designed for intermediate-to-advanced R users interested in spatial data analysis and R beginners who have prior experience with geographic data. \n \n \n \n \n \n Assumed computer background\n Attendees should already have experience with R and be able to read csv files\, create simple plots\, and manipulate data frames. \nHowever\, if you do not have R experience but already use GIS software and have a strong understanding of geographic data types\, and some programming experience\, the course may also be appropriate for you. \n \n \n \n \n \n Equipment and software requirements\n \nA laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs\, Macs\, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/. \n\n\nAll the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed\, and a full list of required packages will be made available to all attendees prior to the course. \n\n\nA working webcam is desirable for enhanced interactivity during the live sessions\, we encourage attendees to keep their cameras on during live zoom sessions. \n\n\nAlthough not strictly required\, using a large monitor or preferably even a second monitor will improve he learning experience \n\n\nDownload R \n\n\nDownload RStudio \n\n\nDownload Zoom \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations 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 will be credited. \n \n \n \n \n \n If you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n \n \n \n \n \n \n \n \n \n \n Monday 11th\n Classes from 09:00 – 17:00Introduction to the courseKey concepts related to spatial dataR’s spatial ecosystemReading data from spatial file formatsUnderstanding R’s spatial classesCreating static and interactive maps:Customizing mapsMaking facet maps \n \n \n \n \n \n Tuesday 12th\n Classes from 09:00 – 17:00Attribute data operations:Vector attribute subsetting\, aggregation and joiningCreating new vector attributesRaster subsettingSummarizing raster objectsSpatial data operations:Spatial subsetting \n \n \n \n \n \n Wednesday 13th\n Classes from 09:00 – 17:00Attribute data operations:Vector attribute subsetting\, aggregation and joiningCreating new vector attributesRaster subsettingSummarizing raster objectsSpatial data operations:Spatial subsetting \n \n \n \n \n \n Thursday 14th\n Classes from 09:00 – 17:00Attribute data operations:Vector attribute subsetting\, aggregation and joiningCreating new vector attributesRaster subsettingSummarizing raster objectsSpatial data operations:Spatial subsetting \n \n \n \n \n \n \n \n \n Jakub Nowosad\n Works at: Adam Mickiewicz University \n Jakub Nowosad is a computational geographer working at the intersection between geocomputation and the environmental sciences. His research is focused on developing and applying spatial methods to broaden understanding of processes and patterns in the environment. A vital part of his work is to create\, collaborate\, and improve geocomputational software. He is an active member of the #rspatial community and a co-author of the Geocomputation with R book. \nResearchGate\nGoogleScholar\nORCID\nLinkedIn\nGitHub\n \n \n \n \n \n \n \n \n \n \n \n \n Teaches\n \nIntroduction to spatial analysis of ecological data using R (ISPE)\nMaking beautiful and effective maps in R (MAPR\nAdapting to the recent changes in R spatial packages (sf\, terra\, PROJ library) (PROJ\n\n \n \n \n \n \n Teaches\n \nIntroduction to spatial analysis of ecological data using R (ISPE)\nMaking beautiful and effective maps in R (MAPR\nAdapting to the recent changes in R spatial packages (sf\, terra\, PROJ library) (PROJ URL:https://prstats.preprodw.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe05/ LOCATION:Delivered remotely (Poland)\, Central European Summer Time\, Poland CATEGORIES:All Live Courses,Home Courses,Live Online Courses ATTACH;FMTTYPE=image/jpeg:https://prstats.preprodw.com/wp-content/uploads/2020/06/ISPE01-1.jpg END:VEVENT END:VCALENDAR