[1] Six years of daily satellite data are used to quantify and map intraseasonal variability of chlorophyll and sea surface temperature (SST) in the California Current. We define intraseasonal variability as temporal variation remaining after removal of interannual variability and stationary seasonal cycles. Semivariograms are used to quantify the temporal structure of residual time series. Emp...

Calculations based on US Geological Survey (USGS) digital elevation models (DEMs) inherit any errors associated with that particular representation of topography. We investigated the potential impact of error in a USGS 30 m DEM on terrain analysis over 27 km. The difference in elevation between 2652 differential Global Positioning Systems measurements and USGS 30-m DEM derived elevations provid...

Ground-based rainfall observations are the primary sources of precipitation data used in most developing countries. However, those observations are frequently damaged or incomplete, thus missing data is always a problem. This comparison study examines a number of spatial interpolation methods used to estimate missing monthly rainfall data in the northeast region of Thailand. The comparison was ...

This study quantifies and delineates the spatial distributions, variability and uncertainties of soil arsenic (As) in the northern part of Changhua County in central Taiwan by using kriging, sequential Gaussian simulation (SGS) and simulated annealing simulation (SAS) in geographic information systems. Thousand realizations of soil As are simulated by using SGS and SAS. The impacts of the numbe...

Texture analysis of computed tomography (CT) imaging has been found useful to distinguish subtle differences, which are in- visible to human eyes, between malignant and benign tissues in cancer patients. This study implemented two complementary methods of texture analysis, known as the gray-level co-occurrence matrix (GLCM) and the experimental semivariogram (SV) with an aim to improve the pred...

Abstract The evaluation of the aggregate risks to spatially distributed infrastructures and portfolios buildings requires quantification estimated shaking over a region. To characterize spatial dependency ground motion intensity measures (e.g. peak acceleration), common geostatistical tool is semivariogram. Over past decades, different fitting approaches have been proposed in geostatistics lite...

Abstract Wadi El-Rayan wetland is an inland Egyptian Ramsar site of international importance, due to its rich biodiversity. The constitutes two man-made lakes. lakes size, particularly the Lower Lake, in continuous reduction, and vegetation productivity pattern changing as result deteriorating water soil quality, domestic industrial activities. This research was carried out map spatial seasonal...

Fractal analysis has been applied in many fields since it was proposed by Mandelbrot in 1967. Fractal dimension is a basic parameter of fractal analysis. According to the difference of fractal dimensions for images, natural landscapes and urbanscapes could be differentiated, which is of great significance. In this paper, two methods were used for two types of landscape images to discuss the dif...

Air pollution is overflowing in big cities, especially in areas where pollution sources and the human population are concentrated. Economic growth and industrialization caused the increasing emissions of air polluting. Then, the quantities of polluting have increased dramatically; the evaluation of a suitable method for predicting and monitoring the pollution will be very important. To prevent ...

In this paper, results from three different interpolation techniques based on Geostatistics (ordinary kriging, kriging with external drift and conditional simulation) and one deterministic method (inverse distances) for mapping total monthly rainfall are compared. The study data set comprised total monthly rainfall from 1998 till 2001 corresponding to a maximum of 121 meteorological stations ir...