A digital gazetteer records information associated with specific places. This lesson teaches you how to create a gazetteer from a historical text, using the Linked Places Delimited (LP-TSV) format.

This lesson introduces basic use of Map Warper for historical maps. It guides you from upload to export, demonstrating methods for georeferencing and producing visualizations.

This lesson demonstrates how to build an interactive webmap using R and the Shiny library. In the lesson, you will design and implement a simple application, consisting of a slider which allows a user to select a date range, and display a set of corresponding points, on an interactive map.

This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.

In this lesson you will learn how to use Audacity to load, record, edit, mix, and export audio files.

This lesson will teach you how to install your own copy of Omeka.

This lesson will look at how research data, when organised in a clear and predictable manner, can be counted and mined using the Unix shell.

In this lesson, you will learn how to georeference historical maps so that they may be added to a GIS as a raster layer.

This lesson shows how to use Python to transliterate automatically a list of words from a language with a non-Latin alphabet to a standardized format using the American Standard Code for Information Interchange (ASCII) characters.