Difference between revisions of "2015-05-29 37 -122"
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== Location == | == Location == | ||
<!-- where you've surveyed the hash to be --> | <!-- where you've surveyed the hash to be --> | ||
+ | On a walking path by Lake Merritt in Oakland, California. | ||
== Participants == | == Participants == | ||
<!-- who attended: If you link to your wiki user name in this section, your expedition will be picked up by the various statistics generated for geohashing. You may use three tildes ~ as a shortcut to automatically insert the user signature of the account you are editing with. | <!-- who attended: If you link to your wiki user name in this section, your expedition will be picked up by the various statistics generated for geohashing. You may use three tildes ~ as a shortcut to automatically insert the user signature of the account you are editing with. | ||
--> | --> | ||
+ | [[User:Codae|Codae]] | ||
== Plans == | == Plans == | ||
<!-- what were the original plans --> | <!-- what were the original plans --> | ||
+ | I was planning to run some errands in the city that morning, so when a geohash showed up I just had my brother drive the van home alone while I planned to return by public transportation. | ||
== Expedition == | == Expedition == | ||
<!-- how it all turned out. your narrative goes here. --> | <!-- how it all turned out. your narrative goes here. --> | ||
+ | The errands went well, and I proceeded to travel by bus from Berkeley to the hashpoint in Oakland. I had never been to the lake before, and it was pleasant, if cool. There were many birds there, including mallards, Canada geese, an egret, and what I later determined to be a cormorant. An interpretive sign gave goose counts for each month of the year, with most months sitting in the 400s but June and July at about triple that population: late May is close enough to peak that the quantities I saw should be unsurprising. | ||
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+ | I was a bit worried about the unexpectedly steep, artificial banks, as they meant that a small Google Earth satellite imagery offset could put the geohash in inaccessible water. But this was not a problem: Google Earth accurately located the hashpoint on the path itself, and I easily acquired the right coordinates. I then headed home by bus, BART, and (on one segment where there wasn't a bus at the right time) foot. | ||
== Tracklog == | == Tracklog == | ||
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<gallery perrow="5"> | <gallery perrow="5"> | ||
+ | Image:2015-05-29 37 -122 Proof.jpg | I have not yet mastered the art of sunny-day LCD photography, but today was cloudy. | ||
+ | Image:2015-05-29 37 -122 Area.jpg | From the hashpoint, the north end of the east fork of the lake. | ||
</gallery> | </gallery> | ||
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{{#vardefine:ribbonwidth|800px}} | {{#vardefine:ribbonwidth|800px}} | ||
<!-- Add any achievement ribbons you earned below, or remove this section --> | <!-- Add any achievement ribbons you earned below, or remove this section --> | ||
+ | {{Land geohash|lat=37|lon=-122|date=2015-05-29|name=Codae}} | ||
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Revision as of 18:24, 1 June 2015
Fri 29 May 2015 in 37,-122: 37.8078270, -122.2518924 geohashing.info google osm bing/os kml crox |
Location
On a walking path by Lake Merritt in Oakland, California.
Participants
Plans
I was planning to run some errands in the city that morning, so when a geohash showed up I just had my brother drive the van home alone while I planned to return by public transportation.
Expedition
The errands went well, and I proceeded to travel by bus from Berkeley to the hashpoint in Oakland. I had never been to the lake before, and it was pleasant, if cool. There were many birds there, including mallards, Canada geese, an egret, and what I later determined to be a cormorant. An interpretive sign gave goose counts for each month of the year, with most months sitting in the 400s but June and July at about triple that population: late May is close enough to peak that the quantities I saw should be unsurprising.
I was a bit worried about the unexpectedly steep, artificial banks, as they meant that a small Google Earth satellite imagery offset could put the geohash in inaccessible water. But this was not a problem: Google Earth accurately located the hashpoint on the path itself, and I easily acquired the right coordinates. I then headed home by bus, BART, and (on one segment where there wasn't a bus at the right time) foot.
Tracklog
Photos
Achievements
Codae earned the Land geohash achievement
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