Geospatial Training Solutions offers a variety of courses on GIS and spatial data at a range of different locations. Below is a list of the courses coming up, and a link to sign up (where available). If you would like to participate in any of the courses, please either email email@example.com or use the contact form on this website. Our courses are constantly being developed to take advantage of the latest changes in QGIS and R; if you would like a course run for a group of you, then please contact us to arrange a quote.
Exploring, visualising and mapping data: an R course for 15 beginners
Our three day course is suitable for everyone: academics, students and public sector and commercial professionals. We introduce you to R, one of the most frequently-used tools in academic research. It is a coding language that gives you complete control over your data and provides the freedom you need to do your data exploration, cleaning, analysis and visualisation all in one place. It is free, easy to use and supported by an international network of experts who will answer questions posted online by anyone. We make R simple, straightforward and exciting, invariably converting those who believe that coding is not for them, while increasing the capabilities of those with some experience.
No previous experience of coding, spatial data or GIS is required.
Introduction to Spatial Data & Using R as a GIS
In this one day course we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis. Finally, we will cover the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface.
No previous experience of coding is required, although participants would benefit from some experience of using spatial data (e.g. Google Maps).
Confident Spatial Analysis and Statistics in R & GeoDa
In this one day course we will show you how to prepare and conduct spatial analysis on a variety of spatial data in R, including a range of spatial overlays and data processing techniques. We will also cover how to use GeoDa to perform exploratory spatial data analysis, including making use of linked displays and measures of spatial autocorrelation and clustering.
This course can follow-on from the ‘Introduction to Spatial Data & Using R as a GIS’ course, or be run independently if participants have some previous knowledge of R / RStudio and spatial data.
Introduction to QGIS: Understanding and Presenting Spatial Data
In this one day introductory course we will give you an overview on how GIS works, and what we can and can’t do with spatial data. We assume no prior knowledge of GIS and will explain how to get data into the GIS as well as how to produce maps using your own data.
This course requires no prior knowledge of GIS or spatial data. A level of basic computer experience is required; such as using websites, Word and saving & moving files.
Confident Spatial Analysis in QGIS
This intermediate 1 day course will develop your skills of using spatial data, including collating data from a variety of sources including XY coordinate data and address or postcode based data. We will also cover using spatial overlays, point-in-polygon analysis and spatial joins.
This course can follow-on from the Introductory course above, or be run independently if the participants have some previous knowledge of QGIS and spatial data.
In this one-day course we will explore Web Mapping and show you how to use a variety of different tools to display and communicate spatial information We will have a recap of the basics of spatial data and focus on how we get a variety of different types of data into web mapping platforms We will review some of the different platforms available and spend most of the time looking at the MapBox platform.
No experience of using spatial data is needed for this course, but some experience would be beneficial. No experience of coding is needed for this course.
Using Spatial Data from Social Media
In this one-day course we will consider how data from different social media platforms could be used for spatial analysis. With social media now generating significant volumes of data it is a great resource for research in a wide range of different social science areas. We will primarily focus on Twitter data explore what spatial elements there are within the data and discuss how best to show and analyse these in a GIS. We will also cover a quick recap on spatial data.
Some experience of working with spatial data is needed for this course. No experience of coding is needed for this course, but some experience would be beneficial.
We can also develop a bespoke course, custom to your requirements, time-frame and budget.
Please call 01209 808910 or email firstname.lastname@example.org to have a chat with Nick about which courses would be most appropriate for you and how we could deliver a course for your organisation.