Designing basic relational database for analysis land-use change

Abstract

The processing and analysis of spatial data especially land-use are becoming increasingly dependent on the methodology used in managing the data rather than only using only Geographic Information System (GIS) software. Our approach in handling spatial data for recorded land-use data using basic land-use concept saves cost and is effective for developing land-use analysis. The aim of the study is to design and explain how land use data can be retrieved and managed by a free. The example was used to analyze land-use change, with freely available tools. These tools can handle the spatial data very well. The computation was based on the actual number of observations via Google Earth with free version on pilot area. The results demonstrate the use of normal statistics analysis for prediction in the analysis of land use change is easy to understand.