Intermediate data wrangling, graphics, and spatial data analysis in “R”

  • Start Date: February 06, 2019
  • End Date: February 08, 2019
  • Time: 12:30-6:30pm
  • City: Revelstoke, BC
  • Venue: Okanagan College, Revelstoke, BC
  • Instructor: Dr. Carl Schwarz

Course Description

This is not a course in statistics, but rather in using R to solve more advanced problems that go beyond simple statistical analyses. For example, how do I deal with date and time data? Suppose you have 5 years of data and with the same analysis to be done for each year’s data. What is the best way to structure this in R? How do I write a function to do a yearly analysis that is beyond what is commonly available in R? How do I restructure my data to do a similar analysis on 10 separate variables? How do I plot my spatial data on a map? How do I manipulate shape-files? How do I make an interactive graphic (visualization)?

Many users of R quickly outgrow simply uses of R and need to deal with more complicated data manipulation and analyses.

 

Prerequisites: Basic knowledge of R/Rstudio

Class Size: class size is limited to 18 people.

Bring: Laptop computer pre-loaded with software (see below)

Software Requirements: 

(a) R/Rstudio: http://www.stat.sfu.ca/~cschwarz/CourseNotes/HowGetSoftware.html
Also install the R packages as listed at this website. Be sure to create your own personal library as noted at the website.

(b) Adobe Reader: Course reading will be available in PDF format. You will need to call up some of the material to read from the
screen during the course. You will be able to annotate the pdf files.

(c) Excel: You will need to unzip files containing example datasets. Datasets are in an Excel workbook that you will need to open
and “paste” into your program.

(d) Text editor: Notepad, WordPad, or Word, to prepare data files for MARK/PRESENCE/GENPRES.

(e) Course Material: Will be available in late January.

 

Course content

This course builds on the Introduction to R with the following topics:

– dealing with date and time data
– reshaping data from wide to long formats (primarily using the reshape2 package)
– beyond the data frame – the list structure
– split-apply-combine – sub-group analyses (primarily using the plyr package)
– packaging code into functions
– advanced ggplot (faceting, dealing with maps)
– introduction to data visualization (using ggvis and shiny package)
– generating reports (markdown, Sweave)
– basic spatial data analysis (primarily using the sp data classes). Topics for basic spatial data analysis include:

  • basic plotting of points on a google maps/ open street maps
  • importing shape files; sp data structures (polygons, lines, points)
  • basic introduction into projections
  • plotting sp data structures including chorpleth/ bubble/ maps
  • basic operations union/ intersection/ masking/ membership/ closest feature
  • simple regression using spatial data
  • simple logistic regression using spatial data

Instructor

SchwarzDr. Carl Schwarz, Department of Statistics and Actuarial Science, Simon Fraser University (though soon set to retire!). Carl has taught  many courses with CMI, and is back by popular request! Carl was recently inducted as an American Statistical Association Fellow, and was honored for his contributions in research, teaching, and service. He is a leader in using statistics for ecological problems, especially the development of estimating abundance and other demographic parameters through the use of capture-recapture methods.

http://www.stat.sfu.ca/~cschwarz/

 

 

Opportunity for snow sports in the morning!

This course will run on a schedule that will allow students to participate in recreational snow activities in the mornings of the dates that the course runs, with the course starting at 12:30pm each day. Revelstoke Mountain Resort (RMR) and the Revelstoke Nordic Ski Club are both close by!

RMR is extending a discount on lift tickets for students of this CMI course. These tickets are valid for the mornings of the dates of the course only. Discounted tickets must be purchased through CMI. See registration section below for more information.

PHOTO: Revelstoke Ski Club members, circa 1891. Revelstoke Museum & Archives photo #1066

 

 

Registration

Course fees are as follows:

Member Fee*: $680

Non-Member: $725

RMR Lift Tickets**: $67.20

* You can purchase and/or renew your annual CMI membership at the same time as you register. See here for membership details.

** Discounted lift tickets can be purchased separately and at a later date, but must be purchased by Feb 1, 2019. Maximum 3 discounted lift tickets can be purchased and are only valid on the mornings of the dates of the course.

In the unlikely event that the road is closed on Feb 5/6 and thus preventing the course from starting Feb 6 at 12:30 pm as planned, the course will instead run Feb 7-9.

REGISTER HERE

Preparation for the course

About 2 weeks before the course you will be sent a web link where you can download pre-reading, a course manual, a set of practice exercises to load on your computer before the class.

You will need to bring your own laptop pre-loaded with the required software and downloaded files.

Consider bringing along an external monitor and an external keyboard if you have a small laptop.

** The course starts at 12:30 pm sharp, you will need to arrive before this time so you can set up your computer.

 

Where to stay?

As February is a very busy month in Revelstoke, we suggest you book your accommodation immediately if needed. A few rooms remain available at the Monashee Lodge, just one block away from the Okanagan College. Discounted room rates are available for $120/night plus tax. This includes a continental breakfast and an aquatic centre pass. 250-814-2553. Please state that you are with “CMI” to receive the discounted rate.

The Columbia Mountains Institute would like to give a big THANK YOU to our event partner:

Okanagan College – Revelstoke Centre

 

Contact

  • Phone 250-837-9311
  • Fax 250-837-9311
  • Email

Mailing Address

  • P.O. Box 2568
  • Revelstoke, British Columbia V0E 2S0
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