Category Archives: Data Visualization

Visualizing Bikeshare Data

This entry is part 18 of 21 in the series Using R

Seattle’s Pronto bikeshare system recently announced a Data Challenge for data visualization using their first year of trip data. As avid cyclists and data analysis junkies, we of course took the bait. Below is a brief description of our Pronto Databrowser …   read more …

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MazamaSpatialUtils — Ebola Map Example

This entry is part 16 of 21 in the series Using R

The MazamaSpatialUtils package on CRAN has just been updated with additional shape file conversion scripts and location buffering so that points located just outside of polygons (i.e. coastal sites) can still be associated with the nearest neighboring polygon.  This package …   read more …

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R Class for Wildfire Scientists

This entry is part 14 of 21 in the series Using R

Mazama Science has just finished creating class materials on using R for the AirFire team at the USFS Pacific Wildland Fire Sciences Lab in Seattle, Washington. This team of scientists works on monitoring and modeling wildfire emissions, smoke and air …   read more …

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Population Databrowser

This entry is part 13 of 21 in the series Using R

At Mazama Science we produce web based tools for interrogating important datasets. We are proud to announce the release of a new Population databrowser that allows users to review international population trends. We have done our best to make this …   read more …

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Using R — Working with Geospatial Data (and ggplot2)

This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really …   read more …

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