Mapping and spatial analysis (GIS) with R

Dates

15 – 19 March 2021

Due to the COVID-19 outbreak, this course will be held online

Overview

 

Geographic Information Systems (GIS) encompass data, methods and software to collect, represent and analyse spatial data in a myriad of ways. GIS operations can also be carried out in R, thus allowing seamless integration with other R scripts for data visualization and analysis. This course will include both basic theoretical lessons and practical hands-on sessions on the use of R as a GIS, for automated and reproducible mapping and analysis of spatial environmental data.

 

Target audience and assumed background

 

The course is aimed at researchers and practitioners at any career stage with an interest in the mapping and spatial analysis of biodiversity and/or other environmental data, and who would like to have their procedures scripted in a reproducible and automatable way. Participants should be accustomed to working with computers. Previous basic experience with R is desirable, but not mandatory if you’re a fast learner. All R scripts will be provided and explained in detail.

 

Learning outcomes

 

By the end of this course, participants will be able to:
‒    Know the basics of GIS, mapping and cartographic projections
‒    Gather spatial data, import them into R and produce maps using scripts
‒    Perform several types of spatial analyses in R
‒    Plot and export maps with the results of these analyses

 

Program

Daily schedule:
15:00 - 18:00 (Berlin time):
live lectures and introduction to / review of the practicals


4 additional hours: self-guided practicals using annotated scripts, with live remote support from 09:00 to 23:00 (Berlin time) to cover the participants' time zones

Instructors

 

Dr. A. Márcia Barbosa

 

 

 

 

COst overview

Package 1

This includes course material

 

 

480 €


Cancellation Policy:

 

 

 

> 30  days before the start date = 30% cancellation fee

 

< 30 days before the start date= No Refund.

 

 

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.