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ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE05) This course will delivered live

11 July 2022 - 14 July 2022

£450.00
ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE05) This course will delivered live

Event Date

Monday, July 11th, 2022

Course Format

This 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.

Course Program

TIME 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).

Course Details

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.

By the end of the course participants should:

  • Understand the basic concepts of spatial data analysis
  • Know R’s spatial capabilities
  • Understand how to import a range of spatial data sources into R
  • Be confident with using R’s command-line interface (CLI) for spatial data processing
  • Be 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)
  • Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data
  • Know how to visualize the results of a spatial analysis in the form of static and interactive maps
  • Have the confidence to apply spatial analysis skills to their own projects
Intended Audiences
  • Academics and post-graduate students working on projects related to spatial data and want access to a powerful (geo)statistical and visualization programming language.
  • Applied 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.

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.

Venue

Delivered remotely

Course Information

Venue – Delivered remotely

Time zone – Poland local time (UTC+2)

Availability – 20 places

Duration – 6 days

Contact hours – Approx. 27 hours

ECT’s – Equal to 2 ECT’s

Language – English

Teaching Format

The 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.

Assumed quantitative knowledge

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.

Assumed computer background

Attendees should already have experience with R and be able to read csv files, create simple plots, and manipulate data frames.

However, 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.

Equipment and software requirements

Attendees are expected to have a working version of R or RStudio installed.

R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links
https://cloud.r-project.org/

Download RStudio

You will be sent a list of packages prior to the course. It is essential that you come with all necessary software and packages already installed.

UNSURE ABOUT SUITABLILITY THEN PLEASE ASK oliverhooker@prstatistics.com

Assumed quantitative knowledge

Coming soon..

Assumed computer background

Coming soon..

Equipment and software requirements

Attendees will need to install/update R/RStudio and various additional R packages.

This can be done on Macs, Windows, and Linux.

R – https://cran.r-project.org/

RStudio – https://www.rstudio.com/products/rstudio/download/

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
ISPE05 ONLINE
£ 450.00
Unlimited

PLEASE 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 will be credited.

If you are unsure about course suitability, please get in touch by email to find out more

info@clovertraining.co.uk

COURSE PROGRAMME

Monday 11th – Classes from 09:00 – 17:00
Introduction to the course
Key concepts related to spatial data
R’s spatial ecosystem
Reading data from spatial file formats
Understanding R’s spatial classes
Creating static and interactive maps:
Customizing maps
Making facet maps

Tuesday 12th – Classes from 09:00 – 17:00
Attribute data operations:
Vector attribute subsetting, aggregation and joining
Creating new vector attributes
Raster subsetting
Summarizing raster objects
Spatial data operations:
Spatial subsetting

Wednesday 13th – Classes from 09:00 – 17:00
Spatial data operations:
Topological relations
Spatial joining
Aggregation
Map algebra
Local, focal, and zonal raster operations
Geometry operations:
Geometric operations on vector data
Geometric operations on raster data

Thursday 14th – Classes from 09:00 – 17:00
Geometry operations:
Interactions between rasters and vectors
Understanding of the coordinate reference systems (CRSs)
Reprojecting geographic data
Modifying map projections
Retrieving open data from web sources
Using R packages for spatial data retrieval
Writing spatial data

Course Instructor


 

Dr. Antoine Becker-Scarpitta

Works at – University of Helsink
Teaches – Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03)
Antoine is a plant community ecologist working as a postdoctoral researcher at the University of Helsinki and as a postdoctoral fellow at the Institute of Botany of the Academy of the Czech Republic. Antoine holds a degree in Conservation Biology from the University of Paris-Sud-Orsay, and from the Natural History Museum of Paris, he obtained his PhD in Biology/Ecology from the University of Sherbrooke (Canada). Antoine’s research focuses on the temporal dynamics of biodiversity with a particular focus on the forest and Arctic vegetation. Antoine has taught community ecology, plant ecology and evolution, linear and multivariate statistics assisted on R.

Details

Start:
11 July 2022
End:
14 July 2022
Cost:
£450.00
Event Categories:
, ,

Venue

Delivered remotely (Poland)
Central European Summer Time, Poland + Google Map

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
ISPE05 ONLINE
£ 450.00
Unlimited