Barnes interpolation
Barnes interpolation, named after Stanley L. Barnes, is the interpolation of unevenly spread data points from a set of measurements of an unknown function in two dimensions into an analytic function of two variables. An example of a situation where the Barnes scheme is important is in weather forecasting where measurements are made wherever monitoring stations may be located, the positions of which are constrained by topography. Such interpolation is essential in data visualisation, e.g. in the construction of contour plots or other representations of analytic surfaces.
Link from a Wikipage to another Wikipage
primaryTopic
Barnes interpolation
Barnes interpolation, named after Stanley L. Barnes, is the interpolation of unevenly spread data points from a set of measurements of an unknown function in two dimensions into an analytic function of two variables. An example of a situation where the Barnes scheme is important is in weather forecasting where measurements are made wherever monitoring stations may be located, the positions of which are constrained by topography. Such interpolation is essential in data visualisation, e.g. in the construction of contour plots or other representations of analytic surfaces.
has abstract
Barnes interpolation, named af ...... ntations of analytic surfaces.
@en
Wikipage page ID
22,703,042
page length (characters) of wiki page
Wikipage revision ID
1,023,078,510
Link from a Wikipage to another Wikipage
hypernym
comment
Barnes interpolation, named af ...... ntations of analytic surfaces.
@en
label
Barnes interpolation
@en