This work presents a panorama of GIS integration in Spatial Statistics environments. It highlights the current needs of communities considering such integration. Spatial Statistics is treated in a context focused on the use of computational tools. A review of types of integration is accomplished and a new approach is proposed integrating the statistical software R and the GIS library TerraLib.

The idea of viewing human cognition as a rational solution to computational problems posed by the environment has influenced several recent theories of human memory. The first rational models of memory demonstrated that human memory seems to be remarkably well adapted to environmental statistics but made only minimal assumptions about the form of the environmental information represented in mem...

Research and Applied Interests: Distribution of zeros and n-level statistics for families of L-functions, especially families of elliptic curves with rank over Q(T ), Random Matrix Theory, Random Graphs, Elliptic Curves, Additive, Analytic, Combinatorial and Computational Number Theory, Probability Theory and Statistics, Benford’s Law, Cryptography, Sabermetrics, Linear Programming and Operatio...

We introduce the ACL Anthology Network (AAN), a manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics. We also present a number of statistics about the network including the most cited authors, the most central collaborators, as well as network statistics about the paper citation, author citation, and author collaboration netwo...

Ballistic photon models of radiative transfer in discrete absorbing random media have demonstrated deviations from the Beer–Lambert–Bouguer law of exponential attenuation. A number of theoretical constructs to quantify the deviation from the Beer–Lambert– Bouguer law have appeared in the literature, several of which rely principally on a statistical measure related to the statistics of the abso...

The idea of viewing human cognition as a rational solution to computational problems posed by the environment has influenced several recent theories of human memory. The first rational models of memory demonstrated that human memory seems to be remarkably well adapted to environmental statistics but made only minimal assumptions about the form of the environmental information represented in mem...

MOTIVATION To increase the signal resolution for large-scale meta-analyses of genome-wide association studies, genotypes at unmeasured single nucleotide polymorphisms (SNPs) are commonly imputed using large multi-ethnic reference panels. However, the ever increasing size and ethnic diversity of both reference panels and cohorts makes genotype imputation computationally challenging for moderatel...

A critical shortcoming of determining co-occurrence probability texture features using Haralick’s popular grey level co-occurrence matrix (GLCM) is the excessive computational burden. In this paper, the design, implementation, and testing of a more efficient algorithm to perform this task are presented. This algorithm, known as the grey level co-occurrence integrated algorithm (GLCIA), is a dra...

To reproduce homogeneous flow fields above urban-like turbulent boundary layers in computational fluid dynamics (CFD), numerous CFDs with a limited numerical domain employ periodic conditions both lateral directions artificial momentum provision to maintain airflows. Although such sources are clearly different from the wind-tunnel experiments, effects of these on airflow layer not well studied....

In speaker verification (SV) systems based on a support vector machine (SVM) using Gaussian mixture model (GMM) supervectors, a large portion of the test-stage computational load is the calculation of the a posteriori probabilities of the feature vectors for the given universal background model (UBM). Furthermore, the calculation of the sufficient statistics for the mean also contributes substa...