Tutmez, BulentDag, Ahmet2024-08-042024-08-0420121598-8198https://hdl.handle.net/11616/95861Using appropriate raw materials for cement is crucial for providing the required products. Monitoring relationships and analyzing distributions in a cement material quarry are important stages in the process. CaO, one of the substantial chemical components, is included in some raw materials such as limestone and marl; furthermore, appraising spatial assessment of this chemical component is also very critical. In this study, spatial evaluation and monitoring of CaO concentrations in a cement site are considered. For this purpose, two effective regression-based models were applied to a cement quarry located in Turkey. For the assessment, some spatial models were developed and performance comparisons were carried out. The results show that the regression-based spatial modelling is an efficient methodology and it can be employed to evaluate spatially varying relationships in a cement quarry.eninfo:eu-repo/semantics/closedAccesscementquarryregression-based modellingspatial relationshipArticle1054574672-s2.0-84869822167N/AWOS:000311128700002Q1