Performance Evaluation of Semantic Kriging: A Euclidean Vector Analysis Approach PROJECT TITLE :Performance Evaluation of Semantic Kriging: A Euclidean Vector Analysis ApproachABSTRACT:Prediction of spatial attributes in geospatial data repositories is indispensable in the sphere of remote sensing and geographic data system. The semantic kriging (SemK) approach semantically captures the domain knowledge of the terrain in terms of native spatial options for spatial attribute prediction. It produces higher results than normal kriging and different prediction strategies. This letter focuses on the theoretical and empirical analyses of the SemK. A Euclidean vector analysis approach is adopted to theoretically prove the efficacy of SemK in capturing semantic data. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Using Mobile Technologies to Support Learning in Computer Science Students Online Monitoring of Crude Oil Biodegradation at Elevated Pressures