CHANCE magazine and R Govys are hosting the following talk on data visualization. Here is the link for registration; feel free to share - https://bit.ly/RGovys-June16. Click or tap if you trust this link.">https://bit.ly/RGovys-June16
DATE: June 16 at 3 pm (ET)
TITLE: Linked Micromap Plots using the micromapST R Package
SPEAKERS: Linda Williams Pickle and James B. Pearson, Jr.
AFFILIATION: StatNet Consulting
ABSTRACT:
Linked micromap plots display geospatial data on small maps linked by color to statistical graphics, enabling the user to explore and to communicate the underlying patterns in the data. Sorting by a statistical column can reveal geospatial clusters of similar values or correlations between the columns.
Carr et al. added small maps to row-labeled plots to show the spatial context of the data. Implementations of the plots were first in S-plus, then JAVA and then an R package, micromapST, first released in 2013. We designed the R package to produce publishable quality output with minimal user input. By using mostly basic R functions, iterative applications for exploratory spatial data analysis run quickly. Although the first version only displayed U.S. maps at the state level, subsequent versions can display data for other geographic units. The new version allows users to supply their own geographic boundary file so that linked micromaps can be produced for virtually any geospatial structure. Also, new types of glyphs and user options have been added. We will describe linked micromap plots and demonstrate how to use the latest version of micromapST to produce them.
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Wendy Martinez
Pronouns: she, they
Senior Mathematical Statistician for Data Science
US Census Bureau
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