نتایج جستجو برای: modern spatial statistics method such as spatial auto correlation global moran
تعداد نتایج: 7396464 فیلتر نتایج به سال:
In the context of widely recognized concept inclusive green growth, it is great practical significance to study measurement its temporal characteristics and spatial heterogeneity. However, should be noted that most existing studies only consider situation China when constructing growth indices, such lack international comparators. The index selection dimension relatively single, heterogeneity a...
this research was conducted to investigate spatial variability and estimate tree attributes in a plantation forest in the caspian region of iran using geostatistical analysis. sampling was performed based on a 50m?125m systematic grid in a maple stand (acer velutinum boiss) 18 years of age using circular samples of 200m2 area. totally, 96 sample plots were measured in 63 hectares and 14.25 hect...
a significant problem in multicarrier communication systems is the necessity to reduce the value of papr (peak-to-average power ratio) of transmitting signal. in this thesis we study the effect of the system parameters such as coding and modulation types on papr and ultimate ber in a mc-cdma system. in this study we consider fading channel as well as the nonlinearity of transmitter’s amplifier ...
The computation of Moran’s index of spatial autocorrelation requires the definition of a spatial weighting matrix. The eigendecomposition of this doubly centered matrix (i.e., one that forces the sums of all rows and columns to equal zero) has interesting properties that have been exploited in various contexts: distribution properties of the Moran coefficient (MC), spatial filtering in linear m...
Spatial autocorrelation statistics provide summary information about the spatial arrangement of data in a map. In fact, these statistics compare neighboring area values in order to assess the level of large scale clustering. Whenever a large number of neighboring areas have either relatively large or relatively small values, large scale clustering may be detected. Detecting such clustering is a...
There is an established idea in Iranian urban studies that puts the bazaar as the spine of the social and spatial structure of historical towns. This essentialist universal reading has eclipsed the diversity of Iranian bazaars across the country. This paper, however, aims at revealing the social and spatial diversity of bazaars in Iranian cities. This study employs the Space Syntax method for a...
Abstract Functional Urban Areas (FUAs) leads to a better knowledge of urban spatial organisation, which may play significant role in regional policy making and be helpful understanding the connection between urbanisation demographic development. An explanation population change regions can associated second transition comprising fertility decline below replacement level postponement births. The...
In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...
The changes of spatial pattern in energy consumption have an impact on global climate change. Based on the spatial autocorrelation analysis and the auto-regression model of spatial statistics, this study has explored the spatial disparities and driving forces in energy consumption changes in China. The results show that the global spatial autocorrelation of energy consumption change in China is...
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