Supplementary Data for "AI assistants and agents in GIS: a systematic review"

This dataset provides the supplementary information for the systematic literature review titled "AI assistants and agents in GIS: a systematic review". The data includes detailed information extracted from each of the reviewed studies, along with the corresponding quality assessment scores. The extracted data covers the following key categories for each paper: Main aims / Research Questions Theoretical Background Methodology Main Results / Conclusion Specific SLMs/LLMs used Limitations Future Work The quality assessment framework, adapted from established guidelines, evaluated each study against the following seven criteria: Does the study identify a main research purpose? (If the score for this question is 0, the study is rejected, as a study without a clear purpose lacks the foundational basis for inclusion.) Does the study describe the methodology clearly? Was the data analysis sufficiently rigorous? Are the datasets available to the public, thus allowing replication? Is there a clear statement of findings? Does the study discuss any limitations? Does the study provide insights or findings directly applicable to the development of AI assistants in GIS? This dataset is being made public to ensure the transparency and reproducibility of our review. The systematic literature review is currently under review for publication.