Characterizing Machine Guidance in Geospatial Analysis

Yue Hao, Guoray Cai

2025

Abstract

Geospatial analysis poses challenges for individuals with limited expertise in Geographic Information Science (GIScience) methods and tools, requiring complex decision-making and spatial reasoning, often leading to difficulties or even failures. This research explores machine guidance as a novel approach to support domain analysts throughout the geo-analytical process. This approach can be implemented as an intelligent interface agent that is capable of recognizing user’s analytical difficulties and providing proactive assistance. We propose a conceptual framework that characterizes the cooperative role of machine guidance in geospatial analysis. We focus on answering two key research questions: (1) when to guide? and (2) how to guide?. The framework provides a foundation for future research on machine-guided geospatial analysis, informing the development of other computer-aided systems that enhance usability and analytical effectiveness in GIScience.

Paper Citation

in Harvard Style

Hao Y. and Cai G. (2025). Characterizing Machine Guidance in Geospatial Analysis. In Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM; ISBN 978-989-758-741-2, SciTePress, pages 39-50. DOI: 10.5220/0013240300003935

in Bibtex Style

@conference{gistam25,
author={Yue Hao and Guoray Cai},
title={Characterizing Machine Guidance in Geospatial Analysis},
booktitle={Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
year={2025},
pages={39-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013240300003935},
isbn={978-989-758-741-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM
TI - Characterizing Machine Guidance in Geospatial Analysis
SN - 978-989-758-741-2
AU - Hao Y.
AU - Cai G.
PY - 2025
SP - 39
EP - 50
DO - 10.5220/0013240300003935
PB - SciTePress