Although the use of Geographic Information Systems (GIS) has a long history in archaeology, spatial technologies have been rarely used to analyse the content of textual collections. A newly developed approach termed Geographic Text Analysis (GTA) is now allowing the semi-automated exploration of large corpora incorporating a combination of Natural Language Processing techniques, Corpus Linguistics, and GIS. In this article we explain the development of GTA, propose possible uses of this methodology in the field of archaeology, and give a summary of the challenges that emerge from this type of analysis.

The spatial humanities constitute a rapidly developing research field that has the potential to create a step-change in the ways in which the humanities deal with geography and geographical information. As yet, however, research in the spatial humanities is only just beginning to deliver the applied contributions to knowledge that will prove its significance. Demonstrating the potential of innovations in technical fields is, almost always, a lengthy process, as it takes time to create the required datasets and to design and implement appropriate techniques for engaging with the information those datasets contain. Beyond this, there is the need to define appropriate research questions and to set parameters for interpreting findings, both of which can involve prolonged discussion and debate. The spatial humanities are still in early phases of this process. Accordingly, the purpose of this special issue is to showcase a set of exemplary studies and research projects that not only demonstrate the field's potential to contribute to knowledge across a range of humanities disciplines, but also to suggest pathways for future research.