Uncertainty Estimation by Convolution Using Spatial Statistics

The Analysis of Spatial Distribution Pattern of Ardabil Province ‎Industries ‎by Using Spatial Statistics in GIS Environment

Background and Amis: Unbalanced spatial distribution of industries in most regions of the developing countries, can be have undesirable economic, environmental and social effects. Understanding the spatial distribution patterns of industries is essential for their planning and distribution in the regions.The aim of present study is to analyze the distribution and spatial patterns of Ardabil ‎pr...

Pattern Analysis of City-Spatial Growth by Spatial Statistics (Case Study: Gorgan City)

    Urban planning has gone from the past to the present day to a greater extent based on physical factors, to the extent that the basis of urban planning plans and urban plans influenced urban development and physical spaces. It's The city is the product of complex economic and social relations and its spatial heterogeneity reflects the processes of widespread socio-economic-cultural-social ...

Population Estimation Technology for Mobile Spatial Statistics

Using Spatial Statistics In GIS

A Geographical Information System (GIS) provides a powerful collection of tools for the management and visualization of spatial data. These tools can be even more powerful when they are integrated with methods for spatial data analysis. In this context, we provide several examples that show the power of exploratory spatial data analysis (ESDA) within a GIS and how this can provide the foundatio...

Estimation and prediction of a class of convolution-based spatial nonstationary models for large spatial data

In this paper we address two issues common to the analysis of large spatial datasets. One is the modeling of non-stationarity, and the other is the computational challenges in doing likelihood based estimation and kriging prediction. We model the spatial process as a convolution of independent Gaussian processes, with the spatially varying kernel function given by the modified Bessel functions....