Series
- Using R (22)
- Using WordPress (3)
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Recent Posts
- Logging and Error Handling in Operational Systems
- PWFSLSmoke 1.0: Visualizing Wildfire Smoke Data
- Improved Python-style Logging in R
- Introducing the PWFSLSmoke Package
- Python-style Logging in R
- When k-means Clustering Fails
- Visualizing Bikeshare Data
- Function Argument Lists and missing()
- MazamaSpatialUtils — Ebola Map Example
- Installing subversion 1.7.10 on OSX Yosemite
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Category Archives: Data Visualization
Visualizing Bikeshare Data
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 …
Posted in Data Visualization, R
Tagged bike-share, Pronto, Seattle
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MazamaSpatialUtils — Ebola Map Example
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 …
R Class for Wildfire Scientists
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 …
Population Databrowser
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 …
Posted in Data Visualization, R, User Interface Design
Tagged FIPS, i18n, ISO, population, R
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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 …
Posted in Data Visualization, R
Tagged ggplot, GIS
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