background: using spatial analysis tools to determine the spatial patterns of china province-level perinatal mortality and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on perinatal mortality. methods: the global moran’s i index is used to examine whether the spatial autocorrelation exists in selected regions and moran’s i s...

introduction in 1950s, only 30% of the world's population lived in urban areas. by 2000, that proportion increasedup to 47%, and by 2050 the estimated number will be around 72%. urban sprawl, an undesirable type of urban growth, is one of the major concerns ofthe city planners and administrators. understanding urban patterns, dynamic processes, and their relationships is a primary objectiv...

Physical or geographic location proves to be an important feature in many data science models, because diverse natural and social phenomenon have a spatial component. Spatial autocorrelation measures the extent which locally adjacent observations of same are correlated. Although statistics like Moran’s I Geary’s C widely used measure autocorrelation, they slow: All popular methods run $$\Omega ...

spatial environmental autocorrelation is a known phenomenon in the environmental studies explaining spatial relationship of environmental characteristics of different geographical units. different mechanisms have been proposed to clarify how the environments of especially neighboring countries response to changes of each other. this paper attempts to propose a new mechanism, namely spatial inst...

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 ...

Glossary AutoA prefix literally meaning self; spatial autocorrelation means self-correlation, or values within a given variable are correlated, resulting in the variable being correlated with itself. Correlation A description of the nature and degree of a relationship between a pair of quantitative variables. Geary Ratio An index of spatial autocorrelation, involving the computation of squared ...

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...

environmental kuznets curve (ekc) is one of the known concepts in environmental economics developed dramatically over the last twenty years ago. one of the advances in studying the relationship between economic growth and environmental quality is concerning the spatial autocorrelation of ecological phenomena. the rationale behind spatial environmental kuznets curve (sekc) is similar to ekc incl...