نتایج جستجو برای: modern spatial statistics method such as spatial auto correlation global moran
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Energy Cooperatives (ECoops), the most prominent example for Communities, are attributed great importance energy transition both through engagement of end-consumers and increase local renewable sources. We conducted an exploratory (spatial) data analysis to study which indicators European Social Progress Index Quality Life co-occure with presence ECoops. Results show that these indexes their su...
. introduction the siberian high (sh) is a quasi-stationary and semi-permanent surface high pressure system residing over the eurasian continent during winter with its climatological–mean central pressure exceeding 1030 hpa. this most important atmospheric center of action controls the climate of a wide area of this continent. the sh forms generally in october mainly in response to strong radia...
Object recognition is difficult because the appearance of an object changes in many different ways. To recognize objects robustly, one needs representations that are constant despite those changes. Such invariant representations can be obtained by features with low sensitivity to various visual transformations. Spatial pooling is a widely used technique for extracting invariant features from im...
In urban planning, proper distribution of facilities and educational services is important, because only if there is an equity in the distribution of services and land uses, it will be possible for all residents to take advantage from them. The purpose of this paper is to investigate the spatial distribution of schools and the accessibility of households to public education schools in 20th dis...
the informal settlements are those parts of city which have been formed without plan or minimum facilities and services. therefore, they are considered as priorities in management cities for services and improving quality of life. in this regard, it is important to get solutions to make positive changes with the lowest cost and direct intervention. therefore, this study aims to explore the link...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
Spatial autocorrelation is a method of Exploratory Spatial Data Analysis (ESDA). The latter set of methods allow for the study and understanding of the spatial distribution and spatial structure as well as they allow for detecting spatial dependence or autocorrelation in spatial data. More specifically, spatial autocorrelation is the correlation between the values of a single variable that is s...
Mortality from Cardiovascular Diseases in the Elderly: Comparative Analysis of Two Five-year Periods
BACKGROUND Cardiovascular diseases are the leading cause of death in Brazil. The better understanding of the spatial and temporal distribution of mortality from cardiovascular diseases in the Brazilian elderly population is essential to support more appropriate health actions for each region of the country. OBJECTIVE To describe and to compare geospatially the rates of mortality from cardiova...
in this research we have studied the effect of some transition-metals (cu, ag and au) substitutions on two-electron reduction potential of flavins by application of dft method. all geometries have been optimized at blyp level of theory and “6-31+g** + lanl2dz” mixed basis set. the frequency job at the same method and basis sets has been performed to obtain gibbs free energy of compounds. it h...
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 ...
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