trend

gma.smc.interp.trend

function trend(points, values, bounds = None, resolution = None, order = 1, crs = None, **kwargs):

Use Trend method (Global Polynomial Interpolation) to interpolate points into a 2D array.

Parameters:

points: list||tuple||array.

Interpolate point X (longitude), Y (latitude) coordinates. There must be at least 4 coordinate points.

For example: points = [(122.52, 52.97), (124.72, 52.35), (124.4, 51.67), (126.63, 51.73)]

values: array.

The data value corresponding to the coordinate point, which is the same as the number of points.

Optional:

bounds = tuple. Default None.

The four boundaries of the interpolation result are the minimum longitude (left), the minimum latitude (bottom), the maximum longitude (right), and the maximum latitude (top). The default (None) is to extract the range from the input coordinate points.

resolution = float. Default None.

The resolution of the interpolation result. The default (None) is 1/10 of the minimum bounds X and Y difference.

order = int. Default 1.

Polynomial order.

crs = str||int||aclassofgmaSpatialReference. Default None.

Coordinate system. Can be EPSG, WKT, Proj4, and other types of coordinate characters or SpatialReference class.

Returns:

Type: namedtuple.

Contains data (data), affine transformation (geo_transform) and the estimated covariance (PCOV) of the polynomial coefficients.

References.

[1] K. Vugrin et al. Confidence region estimation techniques for nonlinear.

regression in groundwater flow: Threecasestudies.WaterResources.

Research, Vol. 43, W03423, .