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A variety of maps, writings, and photos on a various topics that can’t easily be categorized into a county or place.

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3 WAYS TO FIND CHEAP LAND (How We Found Our Homestead Property) – Podcast Episode 121

SOOO MANY PEOPLE DON'T START HOMESTEADING because they don't have land!

Are you looking for cheap land to get started with? Learn 3 ways to find cheap homestead land in this episode!

I was listening to this podcast at 3 AM in the morning last night. When looking at land, you really do need to think outside of the box it seems, especially with inflation and high price of land these days.

The spare tube is back on the bike so I can ride in on this frigid morning 🚴

The rear tire I patched on Friday had a slow leak even after the patch, and I tried adding some fix-a-flat on Sunday but that didn’t help though part of it is my fix-a-flat bottle is almost empty. I had to giggle a bit about the plastic recycling label on bottle, you ain’t going to clean out that fix-a-flat from that or recycle it into anything but carbon dioxide. But at least I can listen to more of Edward Abbey as I pretend to be a modern day hillbilly version of Charlie Luce as I ride my mountain bike to work down Corning’s Hill on this icy morning.

At least one of my phone apps πŸ“± warned it was going to be mad cold with the wind 🌬️ if I was crazy πŸ€ͺ enough to ride in on this cold winter morning, but so far in Delmar not much wind though I expect more by the time I get to Erie Boulevard, where the wind always seems to whip down into the valley, off the Cliffs above Pearl Street and down along the river through that industrial zone. Carry the smell of the sewage plant πŸ‘ƒ to my nose but that’s close enough to work where they’ll have that free flavored coffee β˜• to warm me up. Tomorrow, if I ride in it will be even warmer. Add some cinnamon and ginger and it will be good sipping at my desk.

Yesterday I ended up skipping the grocery store 🏬 on my bike in favor of riding out to Five Rivers. After getting up at a 5 AM 😦 I had breakfast πŸ₯£ and then ended up reading for a while and taking another nap under the warm of my heated blanket. Read a good portion of day, finishing the library e-book on Color Theory and then Guide to Home Wiring, then digging in more to the Backyard Guide to Raising Farm Animals, finishing up the section on raising Ducks and Geese πŸ¦† and getting about halfway into the section about Rabbit raising. 🐰 Maybe it’s because I like carrots so much πŸ₯• – I’ve used up nearly 5 lb of carrots in past week – but also because rabbit meat is low in saturated fat, good feed conversion ratios, and because the ideas of butchering πŸ—‘οΈ rabbits makesΒ  the penises stick up in pants of the woke women ♀️ in disgust –Β  I’m all about eating lots of rabbit when I own land. I also have a book out from the library about home butchering that I started reading the first chapter last night.

This morning was cornmeal pancakes, πŸ₯ž which obviously included a lot of carrots πŸ₯• and onions because can you have pancakes any other way? The pea soup cooked down with lots sliced carrots too, and of course tumeric as I don’t know another way to eat it. And to have pea soup you also have to have homemade bread in the oven, 🍞 and if I had the space, you know I had to use up the last of spaghetti squash I had from Shauls. That said, I’ve really gotten into acorn squash this past autumn, wish I had gotten more of that when they were still open for the autumn season.

Percent of Bernie Sanders Vote, 2022 Assembly Districts

I have been experimenting with using R to calculate ADP and socialist votes for various political districts. After doing some reading up, it turns out the fastest and easier way to calculate such things is to use VTD centroids and spatially join them against the new districts.

With R, it turns out that can be done with like 10 lines of code to make some pretty nice maps and data, although I did the final map layout in QGIS. Overall, with the enacted Assembly districts, 1/3rd of them voted for Bernie Sanders, mostly upstate. This code took less then 10 seconds to run on my old laptop.

library(tidyverse)
library(tigris)
library(sf)

vt20 <- read_csv('2020vote_vtd.csv')
vt20$GEOID <- as.character(vt20$GEOID)

vtd <- voting_districts('ny', cb=T) %>%
inner_join(vt20, by=c('GEOID20'='GEOID')) %>%
st_transform('epsg:3857')

a22 <- read_sf('/home/andy/Documents/GIS.Data/2022 Districts/NY Assembly 2022.gpkg') %>% st_transform('epsg:3857')

join <- vtd %>% st_centroid() %>%
st_join(a22)

join %>% st_drop_geometry() %>%
group_by(DISTRICT) %>%
summarise(socialist = (sum(SANDERS)/sum(SANDERS,CLINTON))*100) %>%
inner_join(a22, by=c('DISTRICT')) %>%
write_sf('/tmp/socialassm.gpkg')

2022 AD Sanders Vote
1 42.8
2 47.1
3 50.4
4 47.5
5 53.1
6 37.6
7 50.2
8 46.2
9 48.6
10 37.5
11 39.2
12 44.7
13 37.6
14 42.1
15 38.4
16 32.0
17 45.7
18 28.6
19 44.9
20 39.0
21 38.3
22 35.4
23 41.9
24 35.2
25 41.8
26 40.6
27 41.0
28 43.5
29 25.9
30 47.1
31 27.6
32 25.7
33 28.7
34 47.1
35 32.3
36 49.5
37 50.1
38 45.3
39 41.3
40 38.6
41 37.3
42 35.6
43 35.6
44 45.9
45 47.6
46 48.0
47 51.9
48 40.7
49 51.9
50 57.1
51 48.5
52 37.7
53 50.3
54 37.3
55 30.4
56 42.4
57 44.5
58 22.3
59 32.9
60 27.0
61 39.2
62 53.6
63 46.0
64 52.4
65 40.9
66 35.7
67 27.1
68 35.9
69 33.6
70 38.4
71 39.4
72 35.7
73 23.4
74 37.6
75 31.9
76 28.8
77 26.7
78 32.3
79 28.6
80 35.4
81 37.0
82 34.0
83 23.0
84 30.5
85 27.8
86 26.8
87 31.3
88 28.9
89 30.0
90 36.5
91 31.0
92 33.2
93 32.2
94 45.7
95 40.6
96 40.7
97 36.0
98 47.1
99 49.6
100 49.3
101 56.0
102 60.2
103 62.3
104 47.9
105 50.3
106 52.8
107 55.5
108 55.9
109 52.6
110 49.1
111 55.2
112 54.0
113 57.9
114 64.0
115 71.4
116 54.2
117 58.4
118 58.1
119 51.9
120 55.7
121 58.2
122 56.9
123 57.3
124 53.8
125 61.8
126 48.9
127 46.6
128 42.5
129 50.8
130 52.9
131 52.5
132 57.2
133 57.4
134 50.1
135 46.0
136 47.9
137 40.2
138 53.8
139 55.2
140 53.6
141 33.6
142 54.7
143 50.4
144 55.1
145 51.3
146 46.5
147 58.3
148 58.2
149 54.2
150 53.5

Percent of Bernie Sanders Vote, 2022 Assembly Districts