Aug 5, 2017 · This paper proposes several new computational methods for adaptive kernel estimation from spatial point pattern data.

A key idea is that a variable-bandwidth kernel estimator for d-dimensional spatial data can be represented as a slice of a fixed-bandwidth kernel estimator ...

Abstract Kernel smoothing of spatial point data can often be improved using an adaptive, spatially-varying bandwidth instead of a fixed bandwidth.

Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth.

Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth.

Jul 1, 2018 · Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth.

Implementation of the spatially adaptive kernel estimator relies on choice of a 'global bandwidth'. We derive the closed-form asymptotic bias for this ...

Jul 19, 2017 · Brief details of topics related to the computation of adaptive kernel estimates and additional visualisation techniques are given in Section 8, ...

Aug 25, 2022 · This work presents an intensity estimation mechanism in which the spatial and temporal bandwidths change at each data point in a spatio-temporal point pattern.

Feb 21, 2012 · Abstract. Multivariate extensions of binning techniques for fast computation of kernel estimators are described and examined.