Leveraging machine learning and spectroscopic techniques towards estimating paper map scale levels
Year: 2024
Type: article
Abstract: Map visual complexity has been a significant area of focus in cartographic research.Current methodologies provide a variety of techniques and metrics that can be used to objectively assess both the effectiveness and the efficiency of maps (e.g., Schnur et al., 2018;Liao et al., 2019;Tzelepis et al., 2020).Notably, the scale of a map seems to have a substantial impact as it correlates with the precision and volume of information conveyed by a cartographic product (Dumont et al., 2020).However, the scale information may not always be available.For instance, in historical paper maps, the scale information might be corrupted or inadequately represented.
Source: Abstracts of the ICA
Institution: University of West Attica
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4402120541