Silent Disco: Geocoding Historical Data with QGIS
ONLINE
Our 'Silent Disco' workshops are based on tutorials from the Programming Historian website. This training event will follow content from the tutorial, Geocoding Historical Data using QGIS.
In this tutorial, you will learn how to ‘geocode’ historical data containing placenames (towns, counties, countries, etc), thus making them mappable using QGIS, a digital mapping software suite. This will allow you to:
-
Display your data as a map (whether it originated as a list, table, or prose)
-
Analyse distances between locations in your data
-
View and analyse geographical distribution within your data
This is an self-paced event: when taking part, you will work through the tutorial at your own pace with an instructor available online to help you with any issues.
Participants will work on the tutorial at their own pace. The facilitator will be available via Teams Chat to reply to any questions that arise during the workshop, and to help with installation, troubleshooting or other issues.
This is an intermediate-level workshop. You will need a basic understanding of geographical information systems.
To attend this course, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to attendees prior to the course start date, so please make sure to do so in advance.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
More details about Data Surgeries.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
If you're interested in other training on geographical data analysis, have a look at the following:
- Analysing Geospatial Data with R
- How to Generate Better Spatial Data Visualisation
- How to Create a Webgis
- Analysing Spatial Dynamics with GIS and R
