Rethinking Map Literacy
Ming Xie · Steven Reader · H. L. Vacher
msi 2021 · Springer Nature
E-book
126
Pages
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À propos de cet e-book
This book provides two conceptual frameworks for further investigation of map literacy and fills in a gap in map literacy studies, addressing the distinction between reference maps and thematic maps and the varying uses of quantitative map literacy (QML) within and between the two. The text offers two conceptual frameworks and uses specific map examples to explore this variability in map reading skills and knowledge, with the goal of informing educational pedagogy and practices within geography and related disciplines. The book will appeal to cartographers and geographers as a new perspective on a tool of communication they have long employed in their disciplines, and will also appeal to those involved in the educational pedagogy of information and data literacy as a way to conceptualize the development of curricula and teaching materials in the increasingly important arena of the interplay between quantitative data and map-based graphics.
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.
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.
À propos de l'auteur
Dr. Ming Xie is a Postdoctoral Researcher in the Navigation College at Dalian Maritime University, China. He received his PhD in 2019 from University of South Florida in the School of Geosciences.
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. 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 teachingat 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.
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