determining the promising area for ore deposits is one of the most important steps of prospecting in regional scales. there are many different methods for identifying these areas including geochemical and geophysical methods, remote sensing and sophisticated statistical methods. based on the theory of spatial relations between the dispersion pattern of ore deposits and metallogenic provinces, m...

Occupancy modelling is increasingly used to monitor changes in the spatial distribution of rare and threatened species. Occupancy methods have traditionally relied upon temporally replicated surveys to estimate detection probability. Recently, occupancy models with spatial replication have been used to estimate detection probabilities over large geographical areas that are difficult to survey r...

1. Recent theoretical studies on population synchrony have focused on the role of dispersal, environmental correlation and density dependence in single species. Trophic interactions have received less attention. We explored how trophic interactions affect spatial synchrony. 2. We considered a host–parasitoid coupled map lattice to understand how the selforganizing spatial patterns generated by ...

In magnetic resonance imaging, complex-valued measurements are acquired in time corresponding to spatial frequency measurements in space generally placed on a Cartesian rectangular grid. These complex-valued measurements are transformed into a measured complex-valued image by an image reconstruction method. The most common image reconstruction method is the inverse Fourier transform. It is know...

This study discusses the importance of balancing spatial and non-spatial variation in regression modeling. Unlike spatially varying coefficients (SVC) modeling, which is popular statistics, non-spatially (NVC) modeling has largely been unexplored fields. Nevertheless, as we will explain, consideration needed not only to improve model accuracy but also reduce spurious correlation among coefficie...

The previous researches on the prediction of accidents frequently assumed the independence among the error terms, from the standpoint of traditional statistics. However, as spatial data including information about geographical spaces, data collected in each traffic analysis zones are not randomly distributed in space and have the spatial correlation each other. That violates the basic assumptio...

We analytically demonstrate the existence of white light solitons in logarithmically saturable noninstantaneous nonlinear media. This incoherent soliton has elliptic Gaussian intensity profile, and elliptic Gaussian spatial correlation statistics. The existence curve of the soliton connects the strength of the nonlinearity, the spatial correlation distance as a function of frequency, and the ch...

spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. in this paper we consider daily averages of troposphere ozone over tehran city. for eliminating the trend of data, a dynamic linear model is used, then some featu...