large data set

[luismiguelbravo]

Hello,
Thanks a lot for your work with kriging.js

Hear is the problem.
I have a data set with
118632 register

whe I create a model
var model = "spherical";
var sigma2 = 0, alpha = 100;
var variogram = kriging.train(array_z, array_x, array_y, model, sigma2, alpha);

I get error "RangeError: invalid array length @ file:///E:/kringingjs/javascript/kriging.js-master/kriging.js:233"

What can I do to make kriging with this dataset?
maybe select few data. convert 118632 samples in 500 samples?

[gagan-bansal]

I started exploring this module recently, I am curious how did you solve it?

Instead of random 500 samples you can take every n^th in x direction and n^th in y direction depending on data density you want.

[mathiasleroy]

I have the same issue. I have found the limit to be 501 data points.
But I have a different error message in the console:

kriging.js:15
Uncaught RangeError: Maximum call stack size exceeded
at Array.rep (kriging.js:15)
at kriging_matrix_diag (kriging.js:34)
at Object.kriging.train (kriging.js:333)

[gagan-bansal]

This error is due to recursive function call. Check here at stackoverflow with nice explanation.
But this in not solution, further @oeo4b can throw some light on this.