Linked Micromap Plots for South America – General Design Considerations and Specific Adjustments

merica (USA) since their introduction in 1996 as an effective way to display statistical summaries associated with regional spatial units. However, LM plots were always hard to create by non–experts. The introduction of the micromap R package has simplified the construction of LM plots for arbitrary geographic regions by facilitating the use of external Geographic Information System (GIS) features (such as shapefiles) as the basis for the maps. In this article, we will introduce LM plots for countries from South America. However, spatial representations of features are often not immediately suitable for LM plots, even after some automated simplification of the boundaries of the map regions. A common problem is that relatively small geographic regions are often not visible when plotted in LM plots. Thus, it is necessary to enlarge small regions and display them on the outside of the main map. We introduce some algorithmic guidelines on how small regions can be addressed in LM plots for South America. Moreover, we will provide recommendations how to include areas into LM plots that are far away from the main geographic region.

• Autores: Symanzik, Jürgen; Dai, XiaoTian; Weber, Marc H.; Payton, Quinn; McManus, Michael G.
• Tipo de recurso: Article of journal
• Fecha de publicación: 2014
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/66564
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/66564; http://bdigital.unal.edu.co/67592/
• Palabra clave: 51 Matemáticas / Mathematics; 31 Colecciones de estadística general / Statistics; Geographic Data; LM Plots; Map Visualization; R; Statistical Maps; Visualization Software; Datos geográficos; Gráficos LM; Mapas estadísticos; R; Software de visualización; Visualización de mapas
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional