Noting which dataset IDs have lots of lat longs attached to them

[ssnell6]

For plotting I am trying to find the mid-point of the study but some studies have sites that are far from one another or many sites. I wanted to make a list of species with a lot of sites so we can deal with them later during plotting & analysis.

d1 - BBS d247 - Mosquitoes of North America with emphasis in the midwestern United States d248 - CA Channel islands and Santa Barbara d269 - Species composition and population fluctuations of alpine bird communities during 38 years in the Scandinavian mountain range d289 - Long-term stem inventory data from tropical rain forest plots in Australia: trees >10cm dbh d308 - mountain birdwatch d309 - international bottom trawl survey d315 - monitoring abundance of butterflies in the UK - sites spread across country

[ahhurlbert]

@ssnell6 I noticed that the lat-longs entered into the data formatting table for d33 are not quite right, and so want to make sure you double check all of them.

According to the paper (http://plankt.oxfordjournals.org/content/32/5/643.full), the site's lat long is given as 50° 15.00′N, 4° 13.02′W.

Since, we are recording lat and long in decimal degrees, this means it should be 50.25 N (i.e. 15 minutes out of 60), and 4.217 W (13.02/60).

So double check that all lat-longs that were reported in degrees-minutes-seconds actually got converted appropriately to decimal degrees.

DD = degrees + minutes/60 + seconds/3600

[ssnell6]

Oh man, that's not good. I used an online converter to decimal degrees so its possible theyre off. I'll double check ASAP

[ssnell6]

The mosquito dataset has lat longs for some entries, UTM for others, and unknown for thousands of entries. I'm going to convert what I can to decimal degrees for the sake of the map and ignore the unknowns for now. Allen worked on this earlier. We need to paste together lat/long as our site identifier.