A model for municipal cadastre through a statistical process within an environment of GIS

Abstract

The main subject matter of this work is to research a Municipal Cadastre model which uses statistical analysis in order to form that kind of model. The method of multiple linear regression helps to analyze the relation between a quantitative variable (dependent) and a number of interpretive ones (independent).

With the aid of statistical software (SPSS), "Stepwise" Multiple Linear Regression has been used to determine a model which will use the analytical procedures of a Municipal Cadastre (MC) in the most correct and scientific way. This model has the above variables, namely: Investigation of Ownership issues; Supply of data/Service to Local Administration Authorities in relation to spatial and descriptive information; Financial Backing; Investigation and Resolution of Legal issues; Setting of Technical Specifications.

The positive correlation of these variables with the independent variable means that a positive increase of values in the above independent variables has a positive effect on the dependent variable (Municipal Cadastre). Therefore, the above variables showing a positive correlation to the Municipal Cadastre must exist (with the coefficients resulting from the linear regression equation) for a Municipal Cadastre to exist.

At the end, a Geographic Information System (GIS - ArcGIS, ver. 9.3.1) was used in order to get a better visualization of the statistical results.