Functional and structural changes of regional system are ongoing spatial changes that form patterns of spatial organization, depending on dominant regional forces and factors. Spatial structure of West Azerbaijan province experienced significant changes during 15 years; thus, the present research aim to investigate the manner of spatial distribution of two variables of population and activity, ...

the purpose of this study is to investigate the factors affecting the manufacturing industry wage among selected developing countries based on new economic geography theory. more specifically, we use a panel data model to study the spatial structure of wages in 136 countries for the period 1998-2007. the results indicate that this theory provides a good description of the spatial structure of w...

metropolitan regions as a result of the steady stream of urbanization in industrial period which have occurred during 20th century, become the engine of countries growth and development. in the process of formation and development in these areas, spatial structuring that define through two elements of population and activity with the communication structure interacting between them, has been ef...

Our main objective in the present study was to assess the spatial variation of chemical and physical water properties. Prior to the design of groundwater quality monitoring networks, it is essential to investigate the spatial structure of the groundwater quality variables. A case study is presented which used ground water quality observations from groundwater domestic wells in the Dameghan, Ira...

our main objective in the present study was to assess the spatial variation of chemical and physical water properties. prior to the design of groundwater quality monitoring networks, it is essential to investigate the spatial structure of the groundwater quality variables. a case study is presented which used ground water quality observations from groundwater domestic wells in the dameghan, ira...

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

 Fitting a suitable covariance function for the correlation structure of spatial-temporal data requires de-trending the data. In this article, some potential models for spatial-temporal trend are presented. Eventually the best model will be announced for de-trending tropospheric ozone concentration data for the city of Tehran (Capital city of Iran). By using the selected trend model, some ...

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...