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Don’t Confuse Your Highland and Highlands

One should never confuse the Town of Highlands in Orange County (containing West Point, Bear Mountain, and Bear Mountain Bridge on the Hudson River) with the Town of Highland in Sullivan County (containing Barryville, Eldred, Highland Lake, Minisink Ford and Yulan on Delaware River), with the Hamlet of Highland in the Town of Lloyd in Ulster County (which also borders the Hudson River, and contains the Mid-Hudson Bridge to Poughkeespie).

The hamlet of Highland is pronounced as two seperate words — “high land”, stressing the syllables. In contrast, the Town of Highland in Sullivan County and Highlands in Orange County rhymes with “island”.

You can also drive from Ulster County to Orange County to Sullivan County, without ever crossing any other counties.

Cattle in America (2017)

The other day, I was looking at George Jenks' dot map of hogs in America on Facebook. 70 years ago in 1953, George Jenks wrote about and helped popularize the technique. It's fairly common these days, as it gives a good way to spot dense clusters of population.

Cattle in America (2017)

I was having trouble figuring out why ST_Area area calculations weren’t working correctly in R

I was having trouble figuring out why ST_Area area calculations weren’t working correctly in R. The reason was I was dumb. For ST_Area to work correctly you have to use an equal-area projection, such as Universal Transverse Mercator or Consus Albers. Projections that distort area won’t work, if you want to use such projections, you have to reproject the data before calling ST_Area.

Which is Closer – New York or Texas?

I've been playing with st_nearest_feature in R/sf to calculate nearest features on a map.

ct <- counties(cb=T, resolution = '20m') %>% st_transform(5070)
st <- states(cb=T, resolution = '20m') %>% filter(NAME %in% c('Texas','New York')) %>% st_transform(5070)

nr <- st_nearest_feature(ct, st)

ct <- cbind(ct, st_drop_geometry(st)[nr,])

Which is Closer - New York or Texas?