To the Tidyverse and Beyond2018-02-26T18:05:59+00:00

To the Tidyverse and Beyond

 
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Abstract

Spatial data analysis has a long history in R. Tidy approaches to this are rather recent. I will discuss the special properties of spatialdata, the challenges of different tidy approaches, the work done so far, and the work in progress. The simple features for R package (sf, on CRAN) has been developed with support from the R Consortium. It replaces sp, rgdal and rgeos, and provides dplyr compatibility. A follow-up project, spatiotemporal tidy arrays for R (stars), is under development and aims at dense, spatiotemporal arrays such as time series of simple features, raster data, raster time series, climate model prediction data, and remote sensing imagery. Both projects will be presented, with a focus on how they augment the tidyverse.

About the Speaker

Dianne Cook
Department of Econometrics and Business Statistics Fellow

A Fellow of the American Statistical Association, and Ordinary Member of the R Foundation. My research is in data visualisation, exploratory data analysis, multivariate methods, data mining and statistical computing. I have developed methods for visualising high-dimensional data using tours, projection pursuit, manual controls for tours, pipelines for interactive graphics, a grammar of graphics for biological data, and visualizing boundaries in high-d classifiers.

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