The Mansurov effect is related to the interplanetary magnetic field (IMF) and its ability modulate global electric circuit, which further hypothesized impact polar troposphere through cloud generation processes. We investigate connection between IMF B y -component surface pressure by using daily ERA5 reanalysis for geopotential height since 1980. Previous studies produce a 27-day cyclic respons...

a r t i c l e i n f o Planning actions for species conservation involves working at both an ecologically meaningful spatial scale and a scale suitable for implementing management or conservation plans. Animal populations and conservation policies often operate across wide areas. Large-extent spatial datasets are thus often used, but their analyses rarely deal with problems inherent to spatial d...

Soil variability is a complex attribute that can affect geotechnical engineering design. This paper presents the initial stage of a study into the variability of soil proprieties at the Port of Navegantes, southern Brazil. This study is based on laboratory and field tests that were done as part of the Port enlargement planning. The database consisted of SPT, Vane, soil characterization, oedomet...

The Single Variable Exchange algorithm is based on a simple idea; any model that can be simulated can be estimated by producing draws from the posterior distribution. We build on this simple idea by framing the Exchange algorithm as a mixture of Metropolis transition kernels and propose strategies that automatically select the more efficient transition kernels. In this manner we achieve signifi...

Researchers in the single-case design tradition have debated the size and importance of the observed autocorrelations in those designs. All of the past estimates of the autocorrelation in that literature have taken the observed autocorrelation estimates as the data to be used in the debate. However, estimates of the autocorrelation are subject to great sampling error when the design has a small...

Two new graphical methods are presented for microstructural analysis of crystalline material. These analyses are intended to aid an understanding of deformation behavior at scales larger than the grain size. The correlation of orientation over large distances has rarely been investigated since long-range correlation has been assumed to be negligible, if present at all. The first method reveals ...

Spatial autocorrelation is the correlation among data values, strictly due to the relative location proximity of the objects that the data refer to. This statistical property clearly indicates a violation of the assumption of observation independence a pre-condition assumed by most of the data mining and statistical models. Inappropriate treatment of data with spatial dependencies could obfusca...

The failure of roughness parameters to predict surface properties stems from their inherent scale-dependence; in other words, the measured value depends on how parameter was measured. Here we take advantage this scale-dependence develop a new framework for characterizing rough surfaces: Scale-Dependent Roughness Parameters (SDRP) analysis, which yields slope, curvature, and higher-order derivat...