About
I'm a student in 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 may also visit hashpoints near Heidelberg in my origin graticule Mannheim, Germany (49, 8).
|
Statistics
Graticules visited:
|
6
|
- - Virgin graticules:
|
5
|
Total expeditions:
|
13 in 6 different graticules
|
- - By bike:
|
9 (total distance cycled: 348.2 km)
|
- - By public transport (+ walking):
|
1
|
- - By public transport + bike:
|
1
|
- - On foot:
|
1
|
- - As a passive car passenger:
|
1
|
Hashpoints reached:
|
13 in 6 different graticules
|
- - Saturday 4pm Meetups:
|
1 in 1 different graticules
|
Hashpoints not reached:
|
0 in 0 different graticules
|
Geohashers met:
|
0 (0 different) at 0 hashpoints in 0 different graticules
|
- - just missed:
|
1 (ilpadre by 45 minutes)
|
Expeditions
most recent first
- 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 the 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; Saturday 4pm Meetup #1; Bicycle Geohash #2; Virgin Geohash for 49, 9
- Success #1; Bicycle Geohash #1; Virgin Geohash for 51, 15; Border Geohash
|
|
|
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 obstacle, I am satisfied at the edge of that area.
Disclaimer and thanks: Ideas for this page were stolen from / inspired by relet, Robyn, Arvid and others.
|