Blog Archives

RghcnV3 version 1.1

June 27, 2011
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RghcnV3 version 1.1

I’ve just uploaded version 1.1 of  the package RghcnV3 to Cran. I’ve made a few changes that should make it easier for some folks to use. First I removed the requirement for rgdal. At the present time “rgdal” is not required. On the MAC installing it can be a little trouble, but if you RTFM

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Package RghcnV3

June 22, 2011
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Package RghcnV3

I am down to the last strokes of creating a package for downloading, importing and analyzing GHCN (Global Historical Climate Network0 Version 3.  There  were a few things holding me up, but  I’ve manged to handle all of them except the last one.  Let’s spend a little time looking at the package process so you

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RGhcnV3 A new package

June 21, 2011
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RGhcnV3   A new package

It’s been a long journey and there are some people to thank for helping me along the way. Steve McIntyre, Ron Broberg, Jeff Id, Ryan ODonnell, RomanM, Nick Stokes, Robert Hijmans, Gabor  Grothendieck, Hadley Wickham, David Winsemius, and countless others on the R Help list. The Package is done. Package: RghcnV3 Type: Package Title: Global

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Making Simple Packages in R on Windows

June 8, 2011
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Making Simple Packages in R on Windows

There are any number of short tutorials on making add on R packages on your Windows machine. This is yet another version of that process. I’ve explained what I did in 10 easy steps on the pages, but I’ll give a brief overview here. In the first step I spent some time updating my R

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Ghcn V3 Metadata improvements

December 12, 2010
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Ghcn V3 Metadata improvements

The Global Historical Climate Network  (GHCN) is in it’s beta stage. On of the stated goals of the project is to improve the metadata that is provided for the station data.  Over the past few months several independent volunteers have been focusing on the issue of station metadata, each with their own focus. Ron Broberg

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Wetbulb Temperature

November 7, 2010
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Wetbulb Temperature

This google map display is just one of 230 GHCN stations that is located in the water. After finding  instances of this phenomena over and over, it seemed an easy thing to find and analyze all such cases in GHCN. The issue matters for a two reasons: In my temperature analysis program I use a

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Errors in Ghcn Inventories

October 30, 2010
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Errors in Ghcn Inventories

In the debate over the accuracy of the global temperature nothing is more evident than errors in the location data for stations in the GHCN inventory. That inventory is the primary source for all the temperature series. One question is “do these mistakes make a difference?” If one believes as I do that the record

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A question from the R list

October 30, 2010
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A question from the R list

I am currently working on rectifying the GHCN station list to improve the location information. Its the kind of database work that is mind numbingly tedious and a PITA in R. not because R lacks capabilities, its just tough and not very sexy to matching and fuzzy matching and greping and blah blah blah. Instead,

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What’s that 5km from the station “location”

October 21, 2010
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What’s that 5km from the station “location”

In our last installment we looked at stations which were pitch black. The case I examined, Middlesboro Kentucky illustrated 1. The station location data used by Hansen2010 has inaccuracies. 2. While the purported station location was pitch dark, nearby within a couple 1/100ths of a degree there were urban lights. What this example illustrated was

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Middlesboro Kentucky: Pitch Black?

October 19, 2010
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Middlesboro Kentucky: Pitch Black?

In his august draft of Hansen2010, Dr. Hansen makes the following claim: “We present evidence here that the urban warming has little effect on our standard global temperature analysis.  However, in the Appendix we carry out an even more rigorous test. We show there that there are a sufficient number of stations located in “pitch

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