Difference between revisions of "Known Issues"
From Geohashing
imported>Sparr (reworded pole bias section) |
imported>Starbird m (it's not small) |
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* <s>The algorithm tends to produce points clustered near the graticule origin, though not on it. For a more random result, try ignoring the first digit after converting to decimal (try plotting the points from a whole year's worth of data to see this)</s> see talk page | * <s>The algorithm tends to produce points clustered near the graticule origin, though not on it. For a more random result, try ignoring the first digit after converting to decimal (try plotting the points from a whole year's worth of data to see this)</s> see talk page | ||
| − | * There is a | + | * There is a bias in hash density towards the pole side of the graticule. The graticules are 1 degree longitude by 1 degree lattitude, but 1 degree longitude is smaller near the poles than near the equator. Since the [[algorithm]] does not account for this information, a given area at the pole side of the graticule has a greater chance of containing a geogash location than the same size area at the equator side. |
[[Category:Algorithm]] | [[Category:Algorithm]] | ||
Revision as of 02:32, 19 July 2009
Please direct all discussion on these issues to Talk:Main Page.
- Due to the relative start locations used, if you happen to live close to a coastal region you may require a boat in order to successfully reach the calculated coordinates.
- In addition, due to the relative start locations used, you may require a passport to successfully reach the calculated coordinates.
- Some of the mapping URLs don't cope with -0 as entry, making this grid (eg London West) difficult to map. See -0 Issue.
- When using Firefox w/ Firebug there is an error that shows up when clicking on a marker on the map. It seems the handler is trying to read a property called 'latlng' which isnt defined when clicking on a marker. Line 81 on xkcd.js. Maybe if latlng == undefined, then either exit ( if nothings supposed to happen ) or use the getLatLng() function on the passed object.
The algorithm tends to produce points clustered near the graticule origin, though not on it. For a more random result, try ignoring the first digit after converting to decimal (try plotting the points from a whole year's worth of data to see this)see talk page
- There is a bias in hash density towards the pole side of the graticule. The graticules are 1 degree longitude by 1 degree lattitude, but 1 degree longitude is smaller near the poles than near the equator. Since the algorithm does not account for this information, a given area at the pole side of the graticule has a greater chance of containing a geogash location than the same size area at the equator side.
