The morphological states of Guyana’s coastal system, at various spatial and temporal scales, are found to be influenced by the formation and migration of mudbanks. Stationary and propagating mudbanks along the coast are investigated with the use of multiple data sources, including aerial photographs, satellite imagery, GPS measurements, and a time series of coastal profile data (1941-1987...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing methods on the parametric methods such as general linear model (GLM) have previously been evalua...

Background: Leishmaniasis is a zoonosis disease. About 350 million people are at risk of developing a disease, with 1.5 to 2 million new cases every year in the world. The aim of this study was to determine the space-time clusters of cutaneous leishmaniasis in north of Khuzestan Province, Iran. Methods: In this cross-sectional study, the annual cutaneous leishmaniasis incidence per 100,000 ind...

The functionality of spatial process analysis is the foundation of GIS’s comprehensive application . To realize such a goal. it is desirable that not only the data model of GIS can represent the datasets needed by spatial process models, but also GIS is able to do multitemporal spatial analysis. But most of current GISs are static in essence, they cannot represent temporal information and tempo...