Difference between revisions of "User:Relet/Regional"

Latest revision as of 10:09, 15 August 2010

Land of Berlin (100%)

N/E	13
52	Berlin

Land of Brandenburg (100%)

N/E	11	12	13	14
53	Schwerin	Güstrow	Neubrandenburg	Szczecin (PL)
52	Magdeburg	Brandenburg	Berlin	Frankfurt (Oder)
51		Leipzig	Dresden	Cottbus

Oslo kommune (100%)

N/E	10
60	Gjøvik, Norway
59	Oslo, Norway

Full list of regions I've visited or attempted hashes in

CONT Europe - 43 graticules
CONT North America - 1 graticules
CONT South America - 1 graticules
PCLI Netherlands - 1 graticules
PCLI Italy - 2 graticules
PCLI Mexico - 1 graticules
PCLI France - 2 graticules
PCLI Belgium - 1 graticules
PCLI Germany - 27 graticules
PCLI Chile - 1 graticules
PCLI Switzerland - 1 graticules
PCLI Norway - 5 graticules
PCLI Spain - 4 graticules
ADM1 Bavaria - 1 graticules
ADM1 Languedoc-Roussillon - 1 graticules
ADM1 Oppland Fylke - 1 graticules
ADM1 Estado de México - 1 graticules
ADM1 Latium - 1 graticules
ADM1 Extremadura - 1 graticules
ADM1 Land Berlin - 1 graticules
ADM1 Saxony-Anhalt - 3 graticules
ADM1 Nord-Pas-de-Calais - 1 graticules
ADM1 Mecklenburg-Vorpommern - 4 graticules
ADM1 Saxony - 1 graticules
ADM1 Abruzzo - 1 graticules
ADM1 Castille-La Mancha - 1 graticules
ADM1 Buskerud Fylke - 4 graticules
ADM1 Autonomous Region of Madrid - 1 graticules
ADM1 Flanders - 1 graticules
ADM1 Hesse - 4 graticules
ADM1 Akershus Fylke - 1 graticules
ADM1 North Rhine-Westphalia - 2 graticules
ADM1 Lower Saxony - 4 graticules
ADM1 Castille and León - 1 graticules
ADM1 Provincie Gelderland - 1 graticules
ADM1 Baden-Württemberg - 1 graticules
ADM1 Región de Magallanes y de la Antártica Chilena - 1 graticules
ADM1 Kanton Zürich - 1 graticules

(a python script to help you with that kind of list can be found in the pygeohashing toolshed)

@@ Line 9: / Line 9: @@
 |}
-;Land of Brandenburg (91%)
+;Land of Brandenburg (100%)
 {|border=0
@@ Line 19: / Line 19: @@
 |-
 !53
-|bgcolor=orange|[[53,11|Schwerin]]
+|bgcolor=lightgreen|[[2009-06-14 53 11|Schwerin]]
 |bgcolor=lightgreen|[[2008-08-23 53 12|Güstrow]]
 |bgcolor=lightgreen|[[2008-08-16 53 13|Neubrandenburg]]
@@ Line 37: / Line 37: @@
 |}
-;Oslo kommune (50%)
+;Oslo kommune (100%)
 {|border=0
@@ Line 44: / Line 44: @@
 |-
 !60
-|bgcolor=orange|[[60,10|Ringsaker, Norway]]
+|bgcolor=lightgreen|[[2010-08-14 60 10|Gjøvik, Norway]]
 |-
 !59
 |bgcolor=lightgreen|[[2008-09-04 59 10|Oslo, Norway]]
 |}
 ----
-;Other Regions I've visited hashes in
-* Lower Saxony, Germany, 4/15 = 27%.
+;Full list of regions I've visited or attempted hashes in:
-* Akershus, Norway, 1/4 = 25%.
+<pre>
-* Mecklenburg-Vorpommern, Germany, 1/9 = 11%.
+CONT Europe - 43 graticules
-* Saxony-Anhalt, Germany, 1/10 = 10%.
+CONT North America - 1 graticules
+CONT South America - 1 graticules
+PCLI Netherlands - 1 graticules
+PCLI Italy - 2 graticules
+PCLI Mexico - 1 graticules
+PCLI France - 2 graticules
+PCLI Belgium - 1 graticules
+PCLI Germany - 27 graticules
+PCLI Chile - 1 graticules
+PCLI Switzerland - 1 graticules
+PCLI Norway - 5 graticules
+PCLI Spain - 4 graticules
+ADM1 Bavaria - 1 graticules
+ADM1 Languedoc-Roussillon - 1 graticules
+ADM1 Oppland Fylke - 1 graticules
+ADM1 Estado de México - 1 graticules
+ADM1 Latium - 1 graticules
+ADM1 Extremadura - 1 graticules
+ADM1 Land Berlin - 1 graticules
+ADM1 Saxony-Anhalt - 3 graticules
+ADM1 Nord-Pas-de-Calais - 1 graticules
+ADM1 Mecklenburg-Vorpommern - 4 graticules
+ADM1 Saxony - 1 graticules
+ADM1 Abruzzo - 1 graticules
+ADM1 Castille-La Mancha - 1 graticules
+ADM1 Buskerud Fylke - 4 graticules
+ADM1 Autonomous Region of Madrid - 1 graticules
+ADM1 Flanders - 1 graticules
+ADM1 Hesse - 4 graticules
+ADM1 Akershus Fylke - 1 graticules
+ADM1 North Rhine-Westphalia - 2 graticules
+ADM1 Lower Saxony - 4 graticules
+ADM1 Castille and León - 1 graticules
+ADM1 Provincie Gelderland - 1 graticules
+ADM1 Baden-Württemberg - 1 graticules
+ADM1 Región de Magallanes y de la Antártica Chilena - 1 graticules
+ADM1 Kanton Zürich - 1 graticules
+</pre>
+''(a python script to help you with that kind of list can be found in the pygeohashing toolshed)''