The R community is very generous and collaborative. This post walks through the suggestions left by commenters to my previous post on Steve Mosher's Nightlights work, and show the resulting much-improved output.
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Incremental improvements to Nightlights mapping thanks to R-Bloggers
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 
Finding presence data for species distribution modelling (SDM)
Getting presence data of species is often not easy and can be a major obstacle when attempting to model the distribution of species. One way is using the GBIF data base. Here I show one way how to obtain presence … Continue reading →
Transactions, and Pondering their Use in Casinos
A couple of weeks ago, Bradford Cross of FlightCaster posted in Measuring Measures that transactions are the next big data category. I argue that they already are, and from reading his blog post, he seems to suggest this as well but I will admit that I think I missed his point. There are some clear examples of transactions and...
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 
Listing gene IDs from hyperGTest
hyperGTest compute Hypergeomtric p-values for over or under-representation of each GO term in the specified category among the specified gene set. *geneSample* was used as an example. Read More: 1329 Words Totally
Listing gene IDs from hyperGTest
hyperGTest compute Hypergeomtric p-values for over or under-representation of each GO term in the specified category among the specified gene set. *geneSample* was used as an example. Read More: 1329 Words Totally
K-Means Redistricting
U.S. Congressional districts are today drawn with the aim of maximizing the electoral advantage of the state’s majority party, subject to some constraints, including compactness (which can be measured in numerous ways) and a “one person, one vote” standard. What if, instead of minimizing population variance across districts, we aimed to minimize the mean distance between … Read more
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
