Abstract
In today's world, the importance of spatial information continues to increase day by day. Spatial data constitute the basis of the decisions taken in engineering projects regarding urban and rural areas. This shows how important spatial data is related to decision support stages. Correct analysis of spatial data directly affects the decisions to be made. Moving the spatial analyzes performed from desktop software to the web environment stands out in terms of being accessible and usable. In this study, the analysis, process and outputs of an integrated system that will enable the spatial analysis of web-cbs applications will be discussed. In the implementation phase of the project, desktop GIS software, spatial database, WPS services and alternative Turf.Js library will be used by selecting from open source software. In the study, the current situation will be analyzed, and then the most suitable system architecture will be developed for the system. System architecture consists of open source software; QGIS as desktop GIS software, PostgreSQL / PostGIS as spatial database, Web Processing Service (WPS) service and Turf library, for spatial analysis, Apache Tomcat web server will be used.
As a result, the prepared point, line and area data sets will be analyzed in two spatial analysis possibilities as test data and the operability of the system will be tested. The study will be completed with the Turf.Js library and WPS service performance comparison.