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Spatial pattern modelling of wildfires in Catalonia, Spain 2004–2008
(Elsevier, 2013)
The paper has three objectives: firstly, to evaluate how the extent of clustering in wildfires differs across the years they occurred; secondly, to analyse the influence of covariates on trends in the intensity of wildfire ...
Single-pixel polarimetric imaging spectrometer by compressive sensing
(Springer, 2013-12)
We present an optical system that performs polarimetric spectral imaging with a detector with no spatial resolution. This fact is possible by applying the theory of compressive sampling to the data acquired by a sensor ...
Smooth shadow boundaries with exponentially-warped gaussian filtering
(Elsevier, 2013-05)
Shadow mapping is widely used in computer graphics for efficiently rendering shadows in real-time applications. Shadow maps cannot be filtered as regular textures, thus their limited resolution can cause severe shadow map ...
On wavelet-based energy densities for spatial point processes
(Springer, 2013-08)
A spatial point process can be considered a random measure and therefore represented as a countable sum of Delta Dirac measures concentrated at some points of the process. Applying a two-dimensional continuous wavelet ...
Characterization of Tin/Ethylene Glycol Solar Nanofluids Synthesized by Femtosecond Laser Radiation
(John Wiley & Sons, Ltd., 2016-11-22)
Solar energy is available over wide geographical areas and its harnessing is becoming an essential tool to satisfy the ever-increasing demand for energy with minimal environmental impact. Solar nanofluids are a novel solar ...
Mapping the intensity function of a non-stationary point process in unobserved areas
(Springer, 2022)
Seismic networks provide data that are used as basis both for public safety decisions and for scientific research. Their configuration affects the data completeness, which in turn, critically affects several seismological ...
A universal kriging approach for spatial functional data
(Springer, 2013-02)
In a wide range of scientific fields the outputs coming from certain measurements often come in form of curves. In this paper we give a solution to the problem of spatial prediction of non-stationary functional data. We ...
A spatio-temporal Poisson hurdle point process to model wildfires
(Springer, 2013-11)
Wildfires have been studied in many ways, for instance as a spatial point pattern or through modeling the size of fires or the relative risk of big fires. Lately a large variety of complex statistical models can be fitted ...
Revisiting the random shift approach for testing in spatial statistics
(Elsevier, 2020)
We consider the problem of non-parametric testing of independence of two components of a stationary bivariate spatial process. In particular, we revisit the random shift approach that has become the standard method for ...
Shape description from generalized support functions
(Elsevier, 2013)
The generalized support function is considered to be a representation of shape properties of compact connected sets in R2. Some interesting properties are studied and several parameters are defined for use in shape description ...