FITCIRCLE(1gmt) | GMT | FITCIRCLE(1gmt) |

# NAME¶

fitcircle - Find mean position and great [or small] circle fit to points on sphere

# SYNOPSIS¶

**gmt fitcircle** [ *table* ] **-L***norm* [
**-F***flags* ] [ **-S**[*lat*] ] [ **-V**[*level*]
] [ **-bi**binary ] [ **-di**nodata ] [ **-e**regexp ] [
**-f**flags ] [ **-g**gaps ] [ **-h**headers ] [ **-i**flags ] [
**-o**flags ] [ **-:**[**i**|**o**] ] [
**--PAR**=*value* ]

**Note:** No space is allowed between the option flag and the
associated arguments.

# DESCRIPTION¶

**fitcircle** reads lon,lat [or lat,lon] values from the first
two columns on standard input [or *table*]. These are converted to
Cartesian three-vectors on the unit sphere. Then two locations are found:
the mean of the input positions, and the pole to the great circle which best
fits the input positions. The user may choose one or both of two possible
solutions to this problem. The first is called **-L1** and the second is
called **-L2**. When the data are closely grouped along a great circle
both solutions are similar. If the data have large dispersion, the pole to
the great circle will be less well determined than the mean. Compare both
solutions as a qualitative check.

The **-L1** solution is so called because it approximates the
minimization of the sum of absolute values of cosines of angular distances.
This solution finds the mean position as the Fisher average of the data, and
the pole position as the Fisher average of the cross-products between the
mean and the data. Averaging cross-products gives weight to points in
proportion to their distance from the mean, analogous to the
"leverage" of distant points in linear regression in the
plane.

The **-L2** solution is so called because it approximates the
minimization of the sum of squares of cosines of angular distances. It
creates a 3 by 3 matrix of sums of squares of components of the data
vectors. The eigenvectors of this matrix give the mean and pole locations.
This method may be more subject to roundoff errors when there are thousands
of data. The pole is given by the eigenvector corresponding to the smallest
eigenvalue; it is the least-well represented factor in the data and is not
easily estimated by either method.

# REQUIRED ARGUMENTS¶

**-L***norm*- Specify the desired
*norm*as 1 or 2, or use**-L**or**-L3**to see both solutions.

# OPTIONAL ARGUMENTS¶

*table*- One or more ASCII [or binary, see
**-bi**] files containing lon,lat [or lat,lon; see**-:**[**i**|**o**]] values in the first 2 columns. If no file is specified,**fitcircle**will read from standard input.

**-F***flags*- Traditionally,
**fitcircle**will write its results in the form of a text report, with the values intermingled with report sentences. Use**-F**to only return data coordinates, and append*flags*to specify which coordinates you would like. You can choose one or more items from**f**(Flat Earth mean location),**m**(mean location),**n**(north pole of great circle),**s**(south pole of great circle), and**c**(pole of small circle and its colatitude, which requires**-S**).

**-S**[*lat*]- Attempt to fit a small circle instead of a great circle. The pole will be constrained to lie on the great circle connecting the pole of the best-fit great circle and the mean location of the data. Optionally append the desired fixed latitude of the small circle [Default will determine the optimal latitude].

**-V**[*level*] (more ...)- Select verbosity level [c].

**-bi**[*ncols*][**t**] (more ...)- Select native binary format for primary input. [Default is 2 input columns].

**-di***nodata*(more ...)- Replace input columns that equal
*nodata*with NaN.

**-e**[**~**]*"pattern"***|****-e**[**~**]/*regexp*/[**i**] (more ...)- Only accept data records that match the given pattern.

**-f**[**i**|**o**]*colinfo*(more ...)- Specify data types of input and/or output columns.

**-g**[**a**]**x**|**y**|**d**|**X**|**Y**|**D**|[*col*]**z***gap*[**u**][**+n**|**p**] (more ...)- Determine data gaps and line breaks.

**-h**[**i**|**o**][*n*][**+c**][**+d**][**+r***remark*][**+r***title*] (more ...)- Skip or produce header record(s).

**-i***cols*[**+l**][**+s***scale*][**+o***offset*][,*...*][,*t*[*word*]] (more ...)- Select input columns and transformations (0 is first column,
*t*is trailing text, append*word*to read one word only).

**-o***cols*[,...][*t*[*word*]] (more ...)- Select output columns (0 is first column;
*t*is trailing text, append*word*to write one word only).

**-:**[**i**|**o**] (more ...)- Swap 1st and 2nd column on input and/or output.

**-^**or just**-**- Print a short message about the syntax of the command, then exits (NOTE:
on Windows just use
**-**). **-+**or just**+**- Print an extensive usage (help) message, including the explanation of any module-specific option (but not the GMT common options), then exits.
**-?**or no arguments- Print a complete usage (help) message, including the explanation of all options, then exits.
**--PAR**=*value*- Temporarily override a GMT default setting; repeatable. See /gmt.conf for parameters.

# ASCII FORMAT PRECISION¶

The ASCII output formats of numerical data are controlled by
parameters in your gmt.conf file. Longitude and latitude are formatted
according to FORMAT_GEO_OUT, absolute time is under the control of
FORMAT_DATE_OUT and FORMAT_CLOCK_OUT, whereas general floating point values
are formatted according to FORMAT_FLOAT_OUT. Be aware that the format in
effect can lead to loss of precision in ASCII output, which can lead to
various problems downstream. If you find the output is not written with
enough precision, consider switching to binary output (**-bo** if
available) or specify more decimals using the FORMAT_FLOAT_OUT setting.

# EXAMPLES¶

Suppose you have lon,lat,grav data along a twisty ship track in the file ship.xyg. You want to project this data onto a great circle and resample it in distance, in order to filter it or check its spectrum. Do the following:

gmt fitcircle ship.xyg -L2 gmt project ship.xyg -Cox/oy -Tpx/py -S -Fpz | sample1d -S-100 -I1 > output.pg

Here, *ox*/*oy* is the lon/lat of the mean from
**fitcircle**, and *px*/*py* is the lon/lat of the pole. The
file output.pg has distance, gravity data sampled every 1 km along the great
circle which best fits ship.xyg

If you have lon, lat points in the file data.txt and wish to return the northern hemisphere great circle pole location using the L2 norm, try

gmt fitcircle data.txt -L2 -Fn > pole.txt

# SEE ALSO¶

gmt, gmtvector, project, mapproject, sample1d

# COPYRIGHT¶

2019, The GMT Team

September 7, 2019 | 6.0.0rc4 |