[R-sig-eco] Introduction to spatial analysis of ecological data using R

[Oliver Hooker]

ONLINE COURSE – Introduction to spatial analysis of ecological data
using R (ISPE04) This course will delivered live

https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe04/

This course will take place over 6 x 1/2 days (17, 19, 21, 24, 26 and 28 May)

TIME ZONE – Poland local time (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 using prstatistics.com for full details or to discuss how we
can accommodate you).

Course overview:
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:
1) Understand the basic concepts of spatial data analysis
2) Know R’s spatial capabilities
3) Understand how to import a range of spatial data sources into R
4) Be confident with using R’s command-line interface (CLI) for
spatial data processing
5) 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)
6) Understand coordinate reference systems (CRSs), be able to decide
which CRS to use, and how to reproject spatial data
7) Know how to visualize the results of a spatial analysis in the form
of static and interactive maps
8) Have the confidence to apply spatial analysis skills to their own projects

Email oliverhooker using prstatistics.com with any questions

Course Programme

Monday 17th – Classes from 13:00 – 17:30

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

Wednesday 19th – Classes from 13:00 – 17:30

Creating static and interactive maps:
Customizing maps
Making facet maps
Creating animations
Using specific-purpose mapping packages

Friday 21st – Classes from 13:00 – 17:30

Attribute data operations:
Vector attribute subsetting, aggregation and joining
Creating new vector attributes
Raster subsetting
Summarizing raster objects

Monday 24th – Classes from 13:00 – 17:30

Spatial data operations:
Spatial subsetting
Topological relations
Spatial joining
Aggregation
Map algebra
Local, focal, and zonal raster operations

Wednesday 26th – Classes from 13:00 – 17:30

Geometry operations:
Geometric operations on vector data
Geometric operations on raster data
Interactions between rasters and vectors

Friday 28th – Classes from 13:00 – 17:30

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

-- 
Oliver Hooker PhD.
PR statistics

2020 publications;
Parallelism in eco-morphology and gene expression despite variable
evolutionary and genomic backgrounds in a Holarctic fish. PLOS
GENETICS (2020). IN PRESS

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