Difference between revisions of "User:Danatar"

From Geohashing
imported>Danatar
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imported>Danatar
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==About==
 
==About==
  
I'm a student in [[Würzburg, Germany|Würzburg, Germany (49, 9)]], and I will try to reach hashpoints in biking distance. Having no important tasks except for 1) lunch with my friends at 1 pm, 2) writing my doctoral thesis and 3) preparing my final examination (in April), I may do expeditions on every day of the week. I don't own a GPS device yet but I'm watching eBay for one.
+
I'm a student in [[Würzburg, Germany|Würzburg, Germany (49.8, 9.95)]], and I will try to reach hashpoints in biking distance. Having no important tasks except for 1) lunch with my friends at 1 pm, 2) writing my doctoral thesis and 3) preparing my final examination (in April), I may do expeditions on every day of the week. I don't own a GPS device yet but I'm watching eBay for one.
  
 
I may also visit hashpoints near Heidelberg in my origin graticule [[Mannheim, Germany|Mannheim, Germany (49, 8)]].
 
I may also visit hashpoints near Heidelberg in my origin graticule [[Mannheim, Germany|Mannheim, Germany (49, 8)]].
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{|border=0| style="background-color:#ffb"
 
{|border=0| style="background-color:#ffb"
 
|width="270"|Total expeditions:
 
|width="270"|Total expeditions:
| 15 in 6 different graticules
+
| 17 in 7 different graticules
 
|-
 
|-
 
|
 
|
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|-
 
|-
 
|
 
|
:- By public transport (+ walking): [[Image:Bus.PNG|24px]]
+
:- By public transport (+ walking): [[Image:Bus.PNG|25px]]
| 1
+
| 2
 
|-
 
|-
 
|
 
|
:- By public transport + bike: [[Image:Bus.PNG|24px]][[Image:Bikegeohash.png|24px]]
+
:- By public transport + bike: [[Image:Bus.PNG|25px]][[Image:Bikegeohash.png|24px]]
| 1
+
| 2
 
|-
 
|-
 
|
 
|
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   <!--|-
 
   <!--|-
 
   |
 
   |
   :- By car: (alone or with another geohasher)
+
   :- By car: (alone or with other geohashers)
 
   | 0-->
 
   | 0-->
 
|-
 
|-
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|-
 
|-
 
|Hashpoints reached:
 
|Hashpoints reached:
| 15 in 6 different graticules
+
| 17 in 7 different graticules
 
|-
 
|-
 
|
 
|
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|-
 
|-
 
|Graticules visited:
 
|Graticules visited:
| 6
+
| 7 <!-- 51 15; 50 9; 50 10; 49 7; 49 8; 49 9; 49 10 -->
 
|-
 
|-
 
|
 
|
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|[[Image:Minesweeper_geohash_empty.jpg]]
 
|[[Image:Minesweeper_geohash_empty.jpg]]
 
|[[Image:Minesweeper_geohash_cherry.png]]
 
|[[Image:Minesweeper_geohash_cherry.png]]
|[[Image:Minesweeper_geohash_empty.jpg]]
+
|[[Image:Minesweeper_geohash_flag.jpg]]
 
|[[Image:Minesweeper_geohash_empty.jpg]]
 
|[[Image:Minesweeper_geohash_empty.jpg]]
 
|[[Image:Minesweeper_geohash_empty.jpg]]
 
|[[Image:Minesweeper_geohash_empty.jpg]]
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''most recent first''
 
''most recent first''
  
 +
* [[2008-11-20 50 10]] ([[Gotha, Germany]]), in a forest near Altershausen/Haßfurt:
 +
:Success #17; Public Transport Geohash #4; Multihash
 +
* [[2008-11-20 50 9]] ([[Fulda, Germany]]), in a forest near Langenprozelten/Lohr:
 +
:Success #16; Public Transport Geohash #3; part 1 of a Multihash
 
* [[2008-11-01 49 10]] ([[Bamberg, Germany]]), in a field near Eßleben:
 
* [[2008-11-01 49 10]] ([[Bamberg, Germany]]), in a field near Eßleben:
 
:Success #15; XKCD Meetup #2; Bicycle Geohash #11; met [[User:ilpadre|ilpadre]]
 
:Success #15; XKCD Meetup #2; Bicycle Geohash #11; met [[User:ilpadre|ilpadre]]
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:Success #12; Public Transport Geohash #2; Multihash; Virgin Geohash for 49 7
 
:Success #12; Public Transport Geohash #2; Multihash; Virgin Geohash for 49 7
 
* [[2008-10-22 49 8]] ([[Mannheim, Germany]]), on a major road in [[wikipedia:Heidelberg|Heidelberg]]:
 
* [[2008-10-22 49 8]] ([[Mannheim, Germany]]), on a major road in [[wikipedia:Heidelberg|Heidelberg]]:
:Success #11; Consecutive Geohash Level 3; Déjà-vu Geohash; part 1 of the Multihash
+
:Success #11; Consecutive Geohash Level 3; Déjà-vu Geohash; part 1 of a Multihash
 
* [[2008-10-21 49 9]] ([[Würzburg, Germany]]), in a meadow near Neckarsulm:
 
* [[2008-10-21 49 9]] ([[Würzburg, Germany]]), in a meadow near Neckarsulm:
 
:Success #10; Public Transport Geohash #1; Drowned Rat Geohash
 
:Success #10; Public Transport Geohash #1; Drowned Rat Geohash
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Virgin graticule | latitude = 49 | longitude = 7 | date = 2008-10-22 | name = Danatar | image = 2008-10-22_49_7_4hp.jpg }}{{
 
Virgin graticule | latitude = 49 | longitude = 7 | date = 2008-10-22 | name = Danatar | image = 2008-10-22_49_7_4hp.jpg }}{{
 
Multihash | latitude1 = 49 | longitude1 = 8 | latitude2 = 49 | longitude2 = 7 | date = 2008-10-22 | name = Danatar }}{{
 
Multihash | latitude1 = 49 | longitude1 = 8 | latitude2 = 49 | longitude2 = 7 | date = 2008-10-22 | name = Danatar }}{{
Minesweeper geohash | graticule = Würzburg, Germany  | ranknumber = 3 | n = true | e = true | w = true | name = Danatar }}  
+
Minesweeper geohash | graticule = Würzburg, Germany  | ranknumber = 4 | n = true | ne = true | e = true | w = true | name = Danatar }}  
  
 
Regional Geohash Achievement progress:
 
Regional Geohash Achievement progress:
:3/20 for Bayern (Bavaria) (EU-DE-BY)
+
:4/20 for Bayern (Bavaria) (EU-DE-BY)
 
:2/11 for Baden-Württemberg (EU-DE-BW)
 
:2/11 for Baden-Württemberg (EU-DE-BW)
  
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|-
 
|-
 
| colspan="3" |<div style="border:2px solid #888;background-color:#eee;padding:6px">
 
| colspan="3" |<div style="border:2px solid #888;background-color:#eee;padding:6px">
Owning no GPS device, I have to rely on Google Maps, the [http://www.geodaten.bayern.de/BayernViewer/index.cgi?rw=4352080&hw=5519610&layer=TK&step=8 Bavarian Land Survey Office's maps] (with topographical information) and OpenStreetMap.org to find the hashpoints. This means that whenever there is no special landmark (intersection, house...) at the hashpoint, I can only guess where the hashpoint is. If the hashpoint is e.g. in a forest 200 m from a track, I consider the coordinates reached after 200 large steps into the underbrush. If the hashpoint is in a field with crops or in a very dirty/wet place without obstacle, I am satisfied at the edge of that area.
+
Owning no GPS device, I have to rely on Google Maps, the [http://www.geodaten.bayern.de/BayernViewer/index.cgi?rw=4352080&hw=5519610&layer=TK&step=8 Bavarian Land Survey Office's maps] (with topographical information) and OpenStreetMap.org to find the hashpoints. This means that whenever there is no special landmark (intersection, house...) at the hashpoint, I can only guess where the hashpoint is. If the hashpoint is e.g. in a forest 200 m from a track, I consider the coordinates reached after 200 large steps into the underbrush. If the hashpoint is in a field with crops or in a very dirty/wet place without any obstacle between me and the hashpoint, I am satisfied at the edge of that area.
 
----
 
----
 
[[Image:Danatarsbike.jpg|left|200px|Danatar's bike]] This is my heavy charger. He is heavy (no carbonbreds in his lineage), almost unstoppable (changing the brakes does not change anything) and carries me wherever I have the strength to take him. He is not born for far and fast journeys, more for the rocky wilderness. Unfortunately, I'm ''not'' born for the rocky wilderness, so his usual terrain are paved roads, downhill whenever possible. Nontheless, he has been my trusted steed for about 10-12 years.
 
[[Image:Danatarsbike.jpg|left|200px|Danatar's bike]] This is my heavy charger. He is heavy (no carbonbreds in his lineage), almost unstoppable (changing the brakes does not change anything) and carries me wherever I have the strength to take him. He is not born for far and fast journeys, more for the rocky wilderness. Unfortunately, I'm ''not'' born for the rocky wilderness, so his usual terrain are paved roads, downhill whenever possible. Nontheless, he has been my trusted steed for about 10-12 years.

Revision as of 02:15, 21 November 2008

Lol-asg.png 27 / m / 49,9

About

I'm a student in Würzburg, Germany (49.8, 9.95), and I will try to reach hashpoints in biking distance. Having no important tasks except for 1) lunch with my friends at 1 pm, 2) writing my doctoral thesis and 3) preparing my final examination (in April), I may do expeditions on every day of the week. I don't own a GPS device yet but I'm watching eBay for one.

I may also visit hashpoints near Heidelberg in my origin graticule Mannheim, Germany (49, 8).

Statistics

Total expeditions: 17 in 7 different graticules
- By bike: Bikegeohash.png
11 (total distance cycled: 418.2 km)
- By public transport (+ walking): Bus.PNG
2
- By public transport + bike: Bus.PNGBikegeohash.png
2
- On foot: Walk.PNG
1
- As a passive car passenger:
1
Hashpoints reached: 17 in 7 different graticules
- XKCD Meetups (Saturday 4pm):
2 in 2 different graticules
Hashpoints not reached: 0 in 0 different graticules
Geohashers met: 1 at 1 hashpoints in 1 different graticules:

ilpadre at 2008-11-01 49 10

Graticules visited: 7
- Virgin graticules: Cherry2red.png
5
- Regions visited:
4 (EU-DE-BY, EU-DE-BW, EU-DE-RLP, EU-PL-DS)


7 8 9 10 11 12 13 14 15
51 Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash cherry.png
50 Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash cherry.png Minesweeper geohash flag.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg
49 Minesweeper geohash cherry.png Minesweeper geohash flag.jpg Minesweeper geohash cherry.png Minesweeper geohash cherry.png Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg Minesweeper geohash empty.jpg


Expeditions

most recent first

Success #17; Public Transport Geohash #4; Multihash
Success #16; Public Transport Geohash #3; part 1 of a Multihash
Success #15; XKCD Meetup #2; Bicycle Geohash #11; met ilpadre
Success #14; Bicycle Geohash #10
Success #13; Bicycle Geohash #9
Success #12; Public Transport Geohash #2; Multihash; Virgin Geohash for 49 7
Success #11; Consecutive Geohash Level 3; Déjà-vu Geohash; part 1 of a Multihash
Success #10; Public Transport Geohash #1; Drowned Rat Geohash
Success #9; Bicycle Geohash #8
Success #8; Bicycle Geohash #7
Success #7; Walk Geohash #1; Midnight Geohash #1; Déjà-vu Geohash
Success #6; Bicycle Geohash #6
Success #5; Bicycle Geohash #5
Success #4; Bicycle Geohash #4; Virgin Geohash for 50, 9
Success #3; Bicycle Geohash #3; Virgin Geohash for 49, 10
Success #2; XKCD Meetup #1; Bicycle Geohash #2; Virgin Geohash for 49, 9
Success #1; Bicycle Geohash #1; Virgin Geohash for 51, 15; Border Geohash

Achievements

in order of appearance

Template:Virgin graticule
Border.PNG
Danatar earned the Border geohash achievement
by crossing the German-Polish border on 2008-09-07 to reach the (51, 15) geohash.
2008 09 07 51 15 1border.jpg
Template:Virgin graticule
Bikegeohash.png
Danatar earned the Bicycle geohash achievement
by cycling to the (49, 9) geohash on 2008-09-20.
2008-09-20 49 9 3bike.jpg
Template:Virgin graticule
Compass.jpg
Danatar earned the No Batteries Geohash Achievement
by reaching the (49, 10) geohash on 2008-09-23.
2008-09-23 49 10-4athash.jpg
Template:Virgin graticule
Dejavu.png
Danatar earned the Déjà Vu Geohash Achievement
by reaching the (49, 9) geohash on 2008-10-08, and previously on 2008-10-07.
2008-10-08 49 9 a2hp.jpg
This déjà-vu ribbon was earned before the rules were changed to "visited the location before the geohash coordinates were announced", so I'll keep it. I earned a "correct" one later for 2008-10-22 49 8.
Walk.PNG
Danatar earned the Walk geohash Achievement
by reaching the (49, 9) geohash on 2008-10-08 on foot, travelling a distance of 6.8 km.
2008-10-08 49 9 b7tiwh.jpg
Landgeohash.png
Danatar earned the Land geohash achievement
by reaching the (49, 9) geohash on 2008-10-13.
2008-10-13 49 9 4hp.jpg
Bus.PNG
Danatar earned the Public transport geohash achievement
by reaching the (49, 9) geohash on 2008-10-21 using public transit.
2008-10-2122 ticketdanatar.jpg
Drownedrat2.png
Danatar earned the Drowned Rat Geohash Achievement
by reaching the (49, 9) geohash on 2008-10-21 despite being thoroughly wet from cycling through pouring rain for 9 km.
2008-10-21 49 9 2hp.jpg
Consecutivegeohash.jpg
Danatar earned the Consecutive geohash achievement
by reaching 3 consecutive hash points starting on 2008-10-20.
Template:Virgin graticule
Multihash.png
Danatar earned the Multihash Achievement
by reaching the 2008-10-22 49 8 and 2008-10-22 49 7 geohashes on 2008-10-22.
Minesweeper geohash empty.png Minesweeper geohash flag.png Minesweeper geohash flag.png
Minesweeper geohash flag.png Minesweeper geohash 4.png Minesweeper geohash flag.png
Minesweeper geohash empty.png Minesweeper geohash empty.png Minesweeper geohash empty.png
Danatar achieved level 4 of the Minesweeper Geohash achievement
by visiting coordinates in Würzburg, Germany and 4 of the surrounding graticules.

Regional Geohash Achievement progress:

4/20 for Bayern (Bavaria) (EU-DE-BY)
2/11 for Baden-Württemberg (EU-DE-BW)

Owning no GPS device, I have to rely on Google Maps, the Bavarian Land Survey Office's maps (with topographical information) and OpenStreetMap.org to find the hashpoints. This means that whenever there is no special landmark (intersection, house...) at the hashpoint, I can only guess where the hashpoint is. If the hashpoint is e.g. in a forest 200 m from a track, I consider the coordinates reached after 200 large steps into the underbrush. If the hashpoint is in a field with crops or in a very dirty/wet place without any obstacle between me and the hashpoint, I am satisfied at the edge of that area.


Danatar's bike
This is my heavy charger. He is heavy (no carbonbreds in his lineage), almost unstoppable (changing the brakes does not change anything) and carries me wherever I have the strength to take him. He is not born for far and fast journeys, more for the rocky wilderness. Unfortunately, I'm not born for the rocky wilderness, so his usual terrain are paved roads, downhill whenever possible. Nontheless, he has been my trusted steed for about 10-12 years.



Disclaimer and thanks: Ideas for this page were stolen from / inspired by relet, Robyn, Arvid and others.