Voice assistants can elevate interaction in geospatial data web platforms. This research
introduces a voice assistant in the BStreams platform and focuses on understanding user commands
in the geospatial domain. We developed a specialised geospatial discourse framework through
structured prototyping. A survey with 66 participants revealed prevalent English geospatial terminologies.
Using ChatGPT, we found the term suggestions aligned with survey results, with a notable
correlation (r = 0.81, p < 0.01) between the NPL model’s probability scores and term prevalence in
survey data. Our study also incorporated usability tests on the application, which uses tools like
Web Speech API, Leaflet, and Mapbox geocoding. Results from these tests reaffirm the potential of
voice assistants in enhancing geospatial data visualisation, though challenges persist in areas like
language understanding and domain knowledge. The paper advocates for further research to refine
the integration of voice technology in this domain
