A humble proposal for GeoAI: Epistemology, methodology, and relevance in curb ramp classification.

This paper critically examines how data availability and algorithmic constraints reshape research design, relevance, and outcomes in GIScience. Through a case study of automated curb ramp detection in Seattle, Washington, I demonstrate how the limitations of data, tools, and computational frameworks...

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Detalles Bibliográficos

Publicado en:	Canadian Geographer Vol. 69; no. 4; pp. 1 - 14
Autor principal:	Deitz, Shiloh L.
Formato:	Artículo
Publicado:	Wiley-Blackwell Winter2025
Materias:	Seattle (Wash.) Geographic spatial analysis Geospatial data Scientific method Geographic information systems Machine learning
Acceso en línea:	Ver este registro en EBSCOhost