Form Error Estimation Using Spatial Statistics

Error Estimation in Large Spreadsheets using Bayesian Statistics

Spreadsheets are ubiquitous in business with the financial sector particularly heavily reliant on the technology. It is known that the level of spreadsheet error can be high and that it is often necessary to review spreadsheets based on a structured methodology which includes a cell by cell examination of the spreadsheet. This paper outlines the early research that has been carried out into the...

Measuring spatial - temporal of Yazd urban form using spatial metrics

Abstract Urban form can be affected by diverse factors in different times. Socio- economic, political and physical factors are among the main contributors. So, one of the most important challenges of urban planners is measuring and identifying urban development pattern in order to direct and strengthen it to sustainable pattern and right direction. The case study of the present paper is the ...

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...

Impacts of positional error on spatial statistics confidence intervals

Spatial statistical analyses inevitably are affected by positional errors embedded in georeferenced data. Positional errors further propagate when observations need to be geographically aggregated. This data accuracy issue often results in unreliable statistical conclusion about attribute variables in spatial statistical modeling. This paper investigates how positional errors propagate to varia...