Category Archives: Data Management

MazamaSpatialUtils Package

This entry is part 15 of 21 in the series Using R

Mazama Science has just released its first package on CRAN — MazamaSpatialUtils. Here is the description: A suite of conversion scripts to create internally standardized spatial polygons dataframes. Utility scripts use these datasets to return values such as country, state, …   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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Optimizing Data Access — Know your Hardware

The Library of Congress has a lot of information — hundreds of millions of pages of books and manuscripts. But no one has ever suggested that we store all of that information in a single, billion-page book. Instead, individual books …   read more …

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Data Volumes

Despite what they say, size does matter. Successful data management is all about finding the proper tools and formats for dealing with your data.  There is no one-size-fits-all solution.  And the very first question you should be asking yourself is: …   read more …

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