47.640120461583138
-122.12971039116383
That's a tight geocoding. Not only does the level of precision pinpoint a building, it pinpoints a specific atom in the building.
Here's a breakout of coordinate precision by the actual cartographic scale they purport:
Decimal Places
|
Actual Distance
|
Say What?
|
---|---|---|
6 | 10 centimeters | Your footprint, if you were standing on the toes of one foot. |
7 | 1.0 centimeter | A watermelon seed. |
8 | 1.0 millimeter | The width of paperclip wire. |
9 | 0.1 millimeter | The width of a strand of hair. |
10 | 10 microns | A speck of pollen. |
11 | 1.0 micron | A piece of cigarette smoke. |
12 | 0.1 micron | You're doing virus-level mapping at this point. |
13 | 10 nanometers | Does it matter how big this is? |
14 | 1.0 nanometer | Your fingernail grows about this far in one second. |
15 | 0.1 nanometer | An atom. An atom! What are you mapping? |
As a reference, six decimal places of precision is generally plenty-good-enough territory for cartography. Unless you are collecting the cornerstone base survey coordinate for a mechanical engineer, let's call this good.
Not all Longitudes are the Same
A degree of Latitude is about 68.71 miles, and that's pretty* consistent as you go north or south (when you climb up or down the ladder of latitude, each rung is the same distance). A degree of Longitude is widest at the equator (about 69.17 miles) but gets narrower and narrower until they all pinch together right down to nothing at the the poles. The examples above are pretty much best case examples when it comes to Longitude; they get even sillier when you move away from the equator.
A Fine Mesh
Latitude and Longitude lines are the tics of an imaginary mesh that covers the world -like pixels on a screen. Every time you add a number to the right of each decimal in a Lat Long coordinate, you subdivide the mesh of the Earth by ten each way (bumping your resolution 100 times finer each step). Things get crazy in a hurry and it's common to encounter data with not just meaningless, but deceivingly precise coordinates. Just because something is precise, that doesn't mean it's accurate.
P.S. I read a really good book by Dava Sobel a while back on the surprisingly epic history of Longitude. It's called Longitude. If you are nerdy enough to have read down this far then it's a safe bet you'll enjoy it.
"If you are nerdy enough to have read down this far then it's a safe bet you'll enjoy it." Actually I'm so nerdy I read it long before reading this post. ;-)
ReplyDeleteGreat post though potentially 'inaccurate' to say distance between lines of latitude are the same no matter how far north or south. That works for a sphere. Not for an ellipsoid. Given Earth is the shape of an m&m, squashed so it's larger round the equator, it makes the distance of 1 degree of latitude at a pole nearly 1 mile longer than at the equator.
ReplyDeleteThanks Ken!
DeleteI updated the language to be softer on distance. Ah the dance of precision.
DeleteGreat and useful post. I'm printing copies for the students that visit us; full web address included for further cartographic enlightenment. Thanks.
ReplyDeleteAs a counter-argument to the position of this blog, we did some testing of error introduced by conducting a series of Helmert 7-parameter transformations some time ago - I.e. going from say UTM WGS84 -> LL WGS84 -> LL ED50 -> projected units on ED50, and then reversing the entire process.
ReplyDeleteIt was done to test the robust nature of various software applications in conducting coordinate operations.
It's all a bit hazy now (possibly 2007), but keeping ridiculous levels of precision (possibly 12 dec places), meant that the error introduced was very small (to something like 7 or 8 dec places). This meant that the GI Systems used to read the data, treated the pre- and post- transformed data as equivalent.
For interest, even with using huge and seemingly unnecessary precision, there was still a contest to be won. And the winner? FME by Safe Software.
Also - "Longitude" is a real page turner... Should be on the reading list of every Undergrad Geography Degree Course comprising GIS, as should "Datums and Map Projections" by Jonathan Iliffe from UCL.
Thanks for the insights, Andrew! Yes, I suppose atomic precision is useful for running the engines in reverse to see how well the transforms went. Also, FME is great; I second that.
ReplyDeleteThank you for this. I had often told people that 4 to 6 is enough, but never had anything solid and clear like your list to back it up.
ReplyDeleteLongitude is a great book, I brought it up often in the classes I taught.