Practical selection of neighbourhoods for local regression in the bivariate case

The use of supports that are variable in shape and size are considered here, in dimension two, for a weighted local average of the data measured on a grid. The possibilities of capturing local features of the function with local methods are explored. Such a scheme is in line with the approximation schemes with parameters regulated adaptively to the data.