Spatial and scaling modelling for geochemical anomaly separation

摘要: A spatial and scaling approach with a user-friendly windows program is introduced which can be used to assist exploration geologists geochemists in geochemical data analysis anomaly separation. It also for image enhancement classification. Statistics are calculated optimized within variable-sized moving window centred at an arbitrary sample location. The has both variable size shape determined by three parameters: r (size), β (ratio of long short axes), θ (orientation). calculates five optimal indexes each location: the statistic U(r0,β0,θ0), r0, β0 θ0, index α (singularity exponent). These characterize entities present from different angles and, therefore, analyzed means multivariate techniques prepared conjunction GIS (Geographic Information System) software such as ArcView implement method. been applied stream sediment set (923 grid samples) gold mineral Habahe map sheet, Altay Shan, Xinjiang, northwestern China. method provides better results than ordinary average