Map Generalization

This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.

This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.

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.

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.

V-Support vector machine, slack variables, Support Vector Regression (SVR), Kernel Trick