ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.130
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.
Index Terms—Land-use analysis, land-use change, relational database, prediction
Department of Modern Management and Information Technology, College of Arts, Media and Technology, Chiang Mai University, THAILAND
Department of Mathematics and Statistics, Faculty of Science, Prince of Songkla University, THAILAND
Cite: Orawit Thinnukool, Noodchanath Kongchouy, "Designing Basic Relational Database for Analysis Land-Use Change," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 812-818, Moscow, Russia, April 15-17, 2015.