The Rattlesnake Hill Wildlife Management Area is a 5,100 acre upland tract, situated approximately eight miles west of Dansville, New York. Roughly two-thirds of the area lies in southern Livingston County, while the remaining third lies in northern Allegany County. The tract was purchased in the 1930’s under the Federal Resettlement Administration and is one of several such areas turned over to DEC for development as a wildlife management area.
The area is appropriately named after the Timber Rattlesnake, which may be occasionally found in the more remote sections of the “Hill”.
The area offers an interesting blend of upland habitats such as mature woodland, overgrown fields, conifer plantations, old growth apple orchards and open meadows.
The area is inhabited by a variety of game species and is open to public hunting. The white-tailed deer, wild turkey, ruffed grouse, grey squirrel, cottontail rabbit and woodcock are found on the area. An occasional snowshoe hare may be observed adjacent to thick creek bottom brush or conifer plantation habitats.
A number of small marsh units have been developed and provide limited hunting for waterfowl. Some of the area’s furbearing species such as mink, beaver and raccoon may be occasionally viewed at these marsh units.
State tax records list 86 homes that were built in Albany County prior to the Revolutionary War in 1776. Often these dates are wrong in the assessment records, but these still are some very old and historic properties in the county.
Any spatial dataframe you create in R, such as with tidycensus can be exported with write_sf to a shapefile.
I know this isn’t rocket science but it is a big time and headache saver. Sometimes joins don’t go quite right in QGIS due to your own silliness but if obtain the spatial data right at the same time as Census data using tidycensus geometry=True then you don’t have to manually join the data, deal with type issues or the wrong year TIGER line.
For example for the PA Poverty maps I poste on the Facebook:
library(tidycensus)
library(sf)
income <- get_acs(
geography = 'tract',
variables = 'S1701_C03_001',
state = 'PA',
geometry = T)
write_sf(income,'/tmp/pa_poverty.shp')
The median age of a man👨 in United States is 36.1 while the median age of women 👩 is 38.8 — women are nearly 3 years older on average compared to men.
This is largely due to the fact that men die earlier then women ⚰ — the median death age for men in our country is 76 years, while the median death age for women is 81 years.
The best state to live in for a long life is Minnesota 🐄 — men die there on average at 79 years, while women live until 83. In Hawaii though, women last even longer — the median life expectancy for women in Hawaii is nearly 85 years. 🏖
But the truth is Ground Hog Day is in the middle of winter – literally – and kind of cold. There isn’t a lot of camping areas nearby so there is a good chance that I’d have to stay in a hotel and I hate staying indoors when I travel. It’s such an early morning, high on a steep hill that this morning was probably quite icy with the snow that came down. So I’m kind of glad I just watched the celebration on my phone, even though it would have been a perfect day to go down there, being a Sunday morning.
I often buy large sizes when I buy frozen food because I figure it’s saves money and cuts down on trash. I’m always very careful to get things with as little packaging as possible, because it’s expensive and a pain to take trash to the transfer station at $2 a bag, and a 8 mile round trip drive on a Saturday morning.
Every week I try to include a significant portion of vegetables in my diet. When I’m home and when it’s off-season, I get a lot of frozen vegetables in large packages which provide a healthy treat but produce minimal waste when the packaging is discarded. I often buy two or three pounds frozen bags of peas, corn, blueberries, etc.
Getting a little bored with peas as my green vegetable of choice the other day I bought a massive 3 lb bag of lima beans. I like lima beans, and they’re really healthy, but god I don’t know how I will ever get through three pounds of lima beans. There not something I would necessarily want with every meal, although I’m sure eventually they will go.
It will be kind of like the three pound bag of frozen brussel sprouts that I bought in November or December in one year, and they were gone by April. So be it.
Being somebody who doesn’t own a television, 📺 I find watching any television to be incredibly disturbing. The bright colors, the sex and violence a find so nauseating. 🤢 The endless chants and championing of big government makes want to punch the screen. 👊
The truth is, I don’t know how anybody could stand to watch television for more then five minutes without their brains going to mush.💭
