Résumé
The first framework discussed is based on a three-set Venn model, and addresses the content and relationships of three "literacies" - map literacy, quantitative literacy and background information. As part of this framework, the field of QML is introduced, conceptualized, and defined as the knowledge (concepts, skills and facts) required to accurately read, use, interpret and understand the quantitative information embedded in geographic backgrounds. The second framework is of a compositional triangle based on (1) the ratio of reference to thematic map purpose and (2) the level of generalization and/or distortion within maps. In combination, these two parameters allow for any type of map to be located within the triangle as a prelude to considering the type and level of quantitative literacy that comes into play during map reading. Based on the two frameworks mentioned above, the pedagogical tool of "word problems" is applied to "map literacy" in an innovative way to explore the variability of map reading skills and knowledge based on specific map examples.
Dr. Steven Reader is an Associate Professor in the School of Geosciences at the University of South Florida. Dr. Reader's research and teaching interests are mainly methodological in nature and lie at the interface between GIScience and Data Science, in the emerging field of Spatial Data Science. His past applied substantive work has been in medical geography/spatial epidemiology, with particular focus on chronic outcomes (cardiovascular health, maternal and child health).
Dr. H. L. Vacher is a Professor Emeritus in the School of Geosciences at the University of South Florida. His main research interest is quantitative literacy in all contexts, but particularly as it intersects geoscience. In his 47 years of university teaching at Washington State University and USF, his courses were mainly in physical geology, hydrogeology, geological numeracy, and histories of geology. He was a founding co-editor (2008) of the open-access journal, Numeracy .
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Ming / Reader Xie |
| Parution | 29/03/2021 |
| Nb. de pages | 126 |
| EAN13 | 9783030685935 |
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