We investigated the importance of algal detritus in determining complex patterns of spatio-temporal variation in annelid assemblages in sites separated by 10s of meters on mudflats on Long Island, New York. We used field sampling to test the hypothesis that spatio-temporal variation in annelid assemblages contributes substantially more to total variation than consistent spatial differences amon...

Spatial data sets do not only contain true information, there is also a certain amount of ‘noise’ associated with the data. The use of these data in spatio-temporal analyses, often results in a sub-optimal representation of reality. Generalising spatial data sets collected at different times may serve the purpose of filtering noise so that spatio-temporal change can be better elucidated. In thi...

In recent years, some investigations have been carried out to examine the assumptions like stationarity, symmetry and separability of spatio-temporal covariance function which would considerably simplify fitting a valid covariance model to the data by parametric and nonparametric methods. In this article, assuming a Gaussian random field, we consider the likelihood ratio separability test, a va...

This study examined the relation of dual-task performance to individual differences on neuropsychological tests. Neuropsychological test scores from 16 young and 16 older participants were simultaneously submitted to a factor analysis that yielded 2 factors (Attention/Executive and Memory) that differed by age and 2 (Motor Speed and Cognitive Status) that did not. Regression analyses revealed t...

Citation: Otaño-Cruz A, Montañez-Acuña AA, Torres-López V, Hernández-Figueroa EM and Hernández-Delgado EA (2017) Effects of Changing Weather, Oceanographic Conditions, and Land Uses on Spatio-Temporal Variation of Sedimentation Dynamics along Near-Shore Coral Reefs. Front. Mar. Sci. 4:249. doi: 10.3389/fmars.2017.00249 Effects of Changing Weather, Oceanographic Conditions, and Land Uses on Spat...

Spatio-temper-al data mining involves exti-acting and analyzing useful information embedded in a large spatio temporal database. Cluster analysis, one of the data mining techniques, provides the capabilip to investigate the spatio-temporal variation of data. Previous studies in cluster analysis indicate that the optimal number of clusters could be varied with the temporal scale of input data. T...

Background: Congenital Hypothyroidism (CH) is one of the reasons for mental retardation and defective growth in neonates. It can be treated if it is diagnosed early. The congenital hypothyroidism can be diagnosed using newborn screening in the first days after birth. Disease mapping helps to identify high-risk areas of the disease. This study aimed to evaluate the pattern of CH using the Poisso...

The spread of invasive species can have far reaching environmental and ecological consequences. Understanding invasion spread patterns and the underlying process driving invasions are key to predicting and managing invasions. We develop a set of statistical methods to characterize local spread properties and demonstrate their application using historical data on the spread of the gypsy moth, Ly...