Difference between revisions of "User:10d100h"

From Geohashing
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Nominally in [[Tampa, Florida|Tampa, FL (27, -82)]], but it's tough here because they, surroundings included, always land in the water or in a farm or some matter of private property. Eh, there's a few accessible ones here and there. Also due to move further northwest soon, at the end of this 2024 (probably).
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{{asg|age=17|gender=m|lat=27|lon=-82}}
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Currently in [[Tampa, Florida|Tampa, FL (27, -82)]], in the north of the graticule, but it's tough here because they (neighboring graticules included) always land in the water or in a farm or some matter of private property. Eh, there's a few accessible ones here and there. Also due to move northwest soon, at the beginning of 2025 (probably).
  
Found geohashing a few months ago, and of course I didn't understand it at first, but it's allowed me to finally understand world coordinates and I often imagine of going into the most nowheres with this. I also look at Google Earth occasionally, and I don't think I would've been otherwise.
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I found geohashing a few months ago (it must've been around September 2023), and of course I didn't understand it at first, but it's allowed me to finally understand world coordinates and I often imagine of going into the most nowheres with this. It also got me to look at maps more times than I'd be willing to count.
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{{/Updates}}<br>
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<small>[[/Updates|(status & updates)]]</small>
  
Looking forward to a first. Might be a while, but at least it'll be something different. =)
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== Expeditions ==
  
[[User:10d100h|10d100h]] ([[User talk:10d100h|talk]]) 17:53, 10 September 2024 (UTC)
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* [[2024-10-18 35 -97]] In a crop field, Union City, OK
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* [[2024-09-15 27 -81]] Next to a tree, Lakeland, FL
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== Other things ==
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[[/Vehicle list]]
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=== Useful in geohashing ===
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† Assuming you have mapping/GIS software
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[https://www.naturalearthdata.com/downloads/110m-physical-vectors/110m-graticules/ Graticule outlines file (as shapefile .zip) from ''Natural Earth Data'']† - if you want to get an idea of how graticules cover large regions (or you want to look at your graticule). Use the 1 degree link unless you want to divide France by the prime meridian. Accurate to within .0009-.0012 degrees latitude, .0009 degrees longitude (the "10M" version doesn't help). <!-- wanted to use double brackets but i'm not a mediawiki geek yet -->
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==== US only ====
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[https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.2023.html Census boundary files]† - for counties<ref>Including the not-really-counties, such as independent cities and renamed counties, including Connecticut's recent planning regions.</ref>, subdivisions thereof, metro areas, and other things, all in shapefile for national maps or KML for state maps. Useful for [[Regional geohashing achievement|Regional]] and [[Reverse regional achievement|Reverse regional]] along with the graticule lines above, or if you like to be too specific when inputting the location for your expedition report.

Latest revision as of 18:34, 10 November 2024

Lol-asg.png 17 / m / 27,-82

Currently in Tampa, FL (27, -82), in the north of the graticule, but it's tough here because they (neighboring graticules included) always land in the water or in a farm or some matter of private property. Eh, there's a few accessible ones here and there. Also due to move northwest soon, at the beginning of 2025 (probably).

I found geohashing a few months ago (it must've been around September 2023), and of course I didn't understand it at first, but it's allowed me to finally understand world coordinates and I often imagine of going into the most nowheres with this. It also got me to look at maps more times than I'd be willing to count.

2024-11-02: kinda enjoying Tampa again, but might be unable to reach a hash this month
(status & updates)

Expeditions

Other things

/Vehicle list

Useful in geohashing

† Assuming you have mapping/GIS software

Graticule outlines file (as shapefile .zip) from Natural Earth Data† - if you want to get an idea of how graticules cover large regions (or you want to look at your graticule). Use the 1 degree link unless you want to divide France by the prime meridian. Accurate to within .0009-.0012 degrees latitude, .0009 degrees longitude (the "10M" version doesn't help).

US only

Census boundary files† - for counties[1], subdivisions thereof, metro areas, and other things, all in shapefile for national maps or KML for state maps. Useful for Regional and Reverse regional along with the graticule lines above, or if you like to be too specific when inputting the location for your expedition report.

  1. Including the not-really-counties, such as independent cities and renamed counties, including Connecticut's recent planning regions.