Smooth Coefficient Variation in Spatial Econometric Models: A Performance Comparison of Spatial STAR and GWR

Comparison of the Performance of Geographically Weighted Regression and Ordinary Least Squares for modeling of Sea surface temperature in Oman Sea

In Marine discussions, the study of sea surface temperature (SST) and study of its spatial relationships with other ocean parameters are of particular importance, in such a way that the accurate recognition of the SST relationships with other parameters allows the study of many ocean and atmospheric processes. Therefore, in this study, spatial relations modeling of SST with Surface Wind Speed (...

Spatial analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis

Knowing of precipitation values in different regions is always of main and strategic issues of human which has important role in short- term and long-term decisions. In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial b...

Spatial Variations of β-Convergence Coefficient in Asia (The GWR Approach)

Regional Inequality in Iran and the Impact of Economic Factors: A Spatial Econometric Approach

R egional unbalanced growth and the factors affecting it are one of the most important economic issues in developing countries. In this research, after evaluating the regional inequality at the provincial level of Iran, in order to examine the effect of economic factors on it, it was considered as a spatial econometric model using panel data during the period of 2001 to 2015. The evaluatio...

Comparison of Geographically Weighted Regression and Regression Kriging to Estimate the Spatial Distribution of Aboveground Biomass of Zagros Forests

Aboveground biomass (AGB) of forests is an essential component of the global carbon cycle. Mapping above-ground biomass is important for estimating CO2 emissions, and planning and monitoring of forests and ecosystem productivity. Remote sensing provides wide observations to monitor forest coverage, the Landsat 8 mission provides valuable opportunities for quantifying the distribution of above-g...