Day: April 17, 2026💾

🗺️ Maps 🖼️ Photos 📽️ Videos

High resolution LiDAR digital elevation models are a fantastic tool for exploring land and finding…

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  • Old dump sites
  • Old mines
  • Old roads
  • Old stone walls
  • Cuts and fills of any sort on the land

Hillshade Of South Mountain

I would definitely use such hillshade data when considering to buy a piece of land, to get a better idea of what its like then what just an aerial photo or map shows. LiDAR see through trees and bushes, it gives a lot more information then you might get without a very detailed survey of a property.

Download NYS High Resolution LiDAR data.

Map: Connecticut Hill Wildlife Management Area Ortho
Map: Hewitt State Forest
Map: Tug Hill State Forest (Inman Gulf Area)

Traditional or Roth? Finance Pros Answer Which Retirement Account Is Best for Your Situation – WSJ

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Traditional or Roth? Finance Pros Answer Which Retirement Account Is Best for Your Situation – WSJ

In general, we find that if you plan to retire earlier in life and take distributions later, then tilting more toward a Roth retirement account is beneficial.

For instance, if you had your retirement accounts weighted more heavily toward Roth accounts and retired at 65, yet waited to start withdrawing at 75, your final retirement balance at 85 would be $2.88 million under the simulations we used. If you were balanced across retirement accounts (50-50 split between accounts) your balance at 85 would be $2.8 million; if you weighted your holdings toward traditional retirement accounts, your balance at 85 would be $2.75 million.

On the other end of the spectrum, if you plan to retire later in life and take money out later in life, then aiming for a 50-50 split is best.
Map: Green Mountain National Forest North

Need a quick Census TIGER/Line Shapefile for a map you are making? 🗺

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Need a quick Census TIGER/Line Shapefile for a map you are making? 🗺

It is super easy to get using R and tigris and sf libraries. I often will run a command like this in R terminal to get a Shapefile of the of the counties in Maine.

library(sf)
library(tigris)

counties(‘me’, cb=T) %>% write_sf(‘/tmp/maine.shp’)

Other common tigris functions I will use is state, county_subdivision, tract, block_group and school_districts which work similarly. A resolution parameter can be supplied to control the resolution downloaded, the cb=T flag obtains cartographic boundaries which follow coast lines, rather then actual boundaries.