Difference between revisions of "Schweinfurt, Germany"

From Geohashing
imported>Danatar
imported>Danatar
(Hashpoints)
Line 39: Line 39:
 
== Hashpoints ==
 
== Hashpoints ==
 
''most recent first''
 
''most recent first''
* [[2009-09-04 50 10|2009-09-04]]: Birthday geohash for Danatar in a muddy field near Sulzdorf an der Lederhecke, also he visited his displaced origin [[1981-09-04 50 10|nearby]].
+
*[[2009-09-09 50 10|2009-09-09]]: Danatar picked plums next to a harvested field near Poppenhausen-Maibach.
 +
*[[2009-09-07 50 10|2009-09-07]]: Danatar's geohashiversary in reet-surrounded shrubbery near Großwenkheim.
 +
*[[2009-09-04 50 10|2009-09-04]]: Birthday geohash for Danatar in a muddy field near Sulzdorf an der Lederhecke, also he visited his displaced origin [[1981-09-04 50 10|nearby]].
 
* [[2009-08-30 50 10|2009-08-30]]: [[User:srs0|srs0]], [[User:thepiguy|thepiguy]]  and [[User:Danatar|Danatar]] completed a monsterhash in a forest clearing at Hausen near Schweinfurt.
 
* [[2009-08-30 50 10|2009-08-30]]: [[User:srs0|srs0]], [[User:thepiguy|thepiguy]]  and [[User:Danatar|Danatar]] completed a monsterhash in a forest clearing at Hausen near Schweinfurt.
 
* [[2009-08-08 50 10|2009-08-08]]: [[User:Manu|Manu]] and [[User:Reinhard|Reinhard]] did a bike trip to the Rohrer Berg near Meiningen.
 
* [[2009-08-08 50 10|2009-08-08]]: [[User:Manu|Manu]] and [[User:Reinhard|Reinhard]] did a bike trip to the Rohrer Berg near Meiningen.

Revision as of 18:37, 9 September 2009

Kassel Goslar Halle (Saale)
Fulda Gotha Erfurt
Würzburg Bamberg Nürnberg

Today's location: geohashing.info google osm bing/os kml crox

Today's location

The Gotha, Germany graticule (50,10) covers some parts of Thuringia (Thüringen) and Bavaria (Bayern), including the cities of Gotha, Suhl, Zella-Mehlis, Ilmenau, Meiningen, Schmalkalden, Coburg, Bad Kissingen, and Schweinfurt. German Bundesländer in this graticule are Thüringen (Thuringia), Bayern (Bavaria) and Hessen (Hesse).

According to Land usage, the chance for your hash to fall into one of the following areas is:

35.98%	Fields
31.78%	Forests
26.02%	Natural reserves
2.85%	Roads
2.08%	Highways
1.22%	Settlements
0.07%	Water


Local Geohashers


Neighbor graticule Geohashers


Hashpoints

most recent first