نتایج جستجو برای: Spatial-temporal process
تعداد نتایج: 1782704 فیلتر نتایج به سال:
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...
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...
the rapid change of land use and land cover in the metropolitan area of tehran has influenced the distribution pattern of land surface temperature (lst). in this study, a spatial autocorrelation analysis is adopted to process the spatial-temporal changes of lst and normalized difference vegetation index (ndvi) in tehran during the period of 1987 to 2010. global spatial autocorrelation analysis ...
the objective of this study was to determine the effects of different heel heights on selected gait parameters in a sample of young nigerian females. a purposive sample of eighty apparently healthy undergraduates of nnamdi azikiwe university, nnewi campus participated in the study. their mean age, height, and weight were 21.98± 1.83 years, 1.65±0.06 meters, 59.50±9.34 kilograms respectively. an...
Land Surface Temperature (LST) is one of the most important physical and climatological crucial yet variable parameter in environmental phenomena studies such as, soil moisture conditions, urban heat island, vegetation health, fire risk for forest areas and heats effects on human’s health. These studies need to land surface temperature with high spatial and temporal resolution. Remote sensing ...
Housing price data is correlated to their location in different neighborhoods and their correlation is type of spatial (location). The price of housing is varius in different months, so they also have a time correlation. Spatio-temporal models are used to analyze this type of the data. An important purpose of reviewing this type of the data is to fit a suitable model for the spatial-temporal an...
we quantified the distribution, abundance and assemblage structure of macrofauna at 22 stations in gorgan bay, seasonally in 2012-2013. also, depth, temperature, salinity, do, tom and sediment particle size were measured in each station. the highest concentration of tom was measured near the western littoral zone (10.22) while the mouth part and north-eastern area was characterized by the lowes...
Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions using the Fourier transform of some higher-order kernels. Moreover, we extend this class of spatial covariance functions to the spatio-temporal setting using the idea used in...
A reliable dynamic simulator (based on a sound process model) is highly desirable for optimizing the performance of individual membrane modules and of entire desalination plants. This paper reports on progress toward development of a comprehensive model of the complicated physical-chemical processes occurring in spiral wound membrane (SWM) modules, that accounts for the...
in this paper the minimum temperatures of 54 weather stations collected for a 31-year period were analyzed for zoning the frost regions in iran. the results of this study show that the average of the number of frost days per year was 62, and the average temperature was 3 degrees of centigrade below zero. dey the tenth month in the iranian calendar, december 22-january 20 with an average of 28, ...
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