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<p>Hello,<br>
<br>
Nick Bearman is delivering four introductory and advanced GIS
courses on QGIS in February/March 2026 and R in April/May 2026.
More details below, and any questions, please email me <a
moz-do-not-send="true" href="mailto:nick@nickbearman.com"
class="moz-txt-link-freetext">nick@nickbearman.com</a>.<br>
<br>
Introduction to QGIS: Understanding and Presenting Spatial Data<br>
=====================================================<br>
<br>
In this two part 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. <br>
<br>
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.<br>
<br>
Tue 24th and Wed 25th Feb 2026, 10am – 1pm (UK/London), online,
NCRM, NEXT WEEK, <a moz-do-not-send="true"
href="https://www.ncrm.ac.uk/training/show.php?article=14368"
class="moz-txt-link-freetext">https://www.ncrm.ac.uk/training/show.php?article=14368</a><br>
<br>
“I love having a workbook to go through, it’s how I learn best.
Also, perfect balance between presentation and practical work.”<br>
Harriet Ann Patrick, PhD Researcher, University of Sheffield<br>
<br>
<br>
Advanced QGIS: Spatial Analysis<br>
===========================<br>
<br>
This advanced two part 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. <br>
<br>
This course can follow-on from the Introduction to QGIS course
above, or be run independently if the participants have some
previous knowledge of QGIS and spatial data.<br>
<br>
Tue 3rd and Wed 4th Mar 2026, 10am – 1pm (UK/London), online,
NCRM, <a moz-do-not-send="true"
href="https://www.ncrm.ac.uk/training/show.php?article=14369"
class="moz-txt-link-freetext">https://www.ncrm.ac.uk/training/show.php?article=14369</a><br>
<br>
“The whole course has been fantastic, thanks for making it so
engaging and accessible.”<br>
Dr Caitriona Dowd, Assistant Professor, School of Politics and
International Relations, University College Dublin<br>
<br>
Attendees on this course can choose to receive a Certificate of
Completion, certified by QGIS for a donation of €20. Geospatial
Training Solutions / Nick Bearman is a QGIS approved training
organisation, and a donation of €20 for each participant will be
made to the QGIS Foundation, supporting the development of QGIS.
More details at <a moz-do-not-send="true"
href="https://www.qgis.org/community/certification/"
class="moz-txt-link-freetext">https://www.qgis.org/community/certification/</a>.<br>
<br>
<br>
Introduction to Spatial Data & Using R as a GIS<br>
=====================================<br>
<br>
In this two half 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.<br>
<br>
No previous experience of coding is required, although
participants would benefit from some experience of using spatial
data (e.g. Google Maps).<br>
<br>
Tue 28th and Wed 29th Apr 2026, 10am – 1pm (UK/London), online,
NCRM, <a moz-do-not-send="true"
href="https://www.ncrm.ac.uk/training/show.php?article=14372"
class="moz-txt-link-freetext">https://www.ncrm.ac.uk/training/show.php?article=14372</a><br>
<br>
“Nice balance of theory and practice. Also useful to learn what to
look for if things go wrong. Content was flexible to include what
might be useful for our work.”<br>
Vickie, Analyst, Public Health Wales<br>
<br>
<br>
Advanced R as a GIS: Spatial Analysis and Statistics<br>
======================================================<br>
<br>
In this two part 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.<br>
<br>
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.<br>
<br>
Tue 19th and Wed 20th May 2026, 10am – 1pm (UK/London), online,
NCRM, <a moz-do-not-send="true"
href="https://www.ncrm.ac.uk/training/show.php?article=14377"
class="moz-txt-link-freetext">https://www.ncrm.ac.uk/training/show.php?article=14377</a><br>
<br>
--<br>
<br>
If you would like any more information, please feel free to
contact me at <a class="moz-txt-link-abbreviated" href="mailto:nick@nickbearman.com">nick@nickbearman.com</a> or check out my website at <a
moz-do-not-send="true" href="https://www.nickbearman.com">www.nickbearman.com</a>.<br>
<br>
Best wishes,<br>
Nick.</p>
<pre class="moz-signature" cols="72">--
Nick Bearman
+44 (0) 7717745715
<a class="moz-txt-link-abbreviated" href="mailto:nick@nickbearman.com">nick@nickbearman.com</a> | <a class="moz-txt-link-abbreviated" href="mailto:nick.bearman@ucl.ac.uk">nick.bearman@ucl.ac.uk</a>
Please let me know if I can make any adjustments related to disability or neurodivergence to improve how we interact.
Due to my own life/work balance, you may get emails from me outside of normal working hours. Please do not feel any pressure to respond outside of your own working pattern.</pre>
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