| RESUME of the AUTHOR | 第1-6页 |
| ACKNOWLEDGEMENTS | 第6-7页 |
| 摘要 | 第7-10页 |
| ABSTRACT | 第10-14页 |
| INTRODUCTION | 第14-23页 |
| CHAPTER 1 INTRODUCTION | 第23-34页 |
| §1.1 Issues rased | 第23-24页 |
| ·Background of the study | 第23页 |
| ·Purpose of the study | 第23-24页 |
| ·Significance of the study | 第24页 |
| §1.2 Current situation of the study at home and abroad | 第24-30页 |
| ·Spatial variabilityanalysis | 第24-26页 |
| ·Uni-variate outlier detection | 第26-28页 |
| ·Multi-variate outlier detection | 第28-30页 |
| §1.3 Study contents | 第30-32页 |
| ·Ore-forming element spatial variability analysis | 第30-31页 |
| ·Ore-forming element local spatial cluster and outlier identification | 第31-32页 |
| ·Multi-element association local spatial cluster and outlier identification | 第32页 |
| §1.4 The method of study and technological line | 第32-34页 |
| CHAPTER 2 STUDY AREA AND CHARACTERISTICS OF SAMPLES | 第34-41页 |
| §2.1 Study areas and general geology | 第34-39页 |
| ·Geological background | 第34-37页 |
| ·Geological features of two metallogenelic series | 第37-39页 |
| ·Geological environment difference of two metallogenic series | 第39页 |
| §2.2 Sampling | 第39-40页 |
| §2.3 Raw data checking | 第40-41页 |
| CHAPTER 3 SEMI-VARIOGRAM AND MORAN SPATIAL CORRELOGRAM-BASED ORE-FORMING ELEMENT SPATIAL VARIABILITY ANALYSIS | 第41-59页 |
| §3.1 Introduction | 第41页 |
| §3.2 Main methods | 第41-48页 |
| ·Semi-variogram | 第41-45页 |
| ·Spatial correlogram | 第45-48页 |
| ·Data analyses using computer softwares | 第48页 |
| §3.3 Major works and results | 第48-58页 |
| ·Spatial variability analysis | 第48-52页 |
| ·Spatial structure analysis | 第52-58页 |
| §3.4 Conclusion | 第58-59页 |
| CHAPTER 4 IDENTIFICATION OF LOCAL CLUSTERS AND OUTLIERS ORE-FORMING ELEMENT BASED ON SPATIAL AUTOCORRELATION STATISTICS | 第59-85页 |
| §4.1 Introduction | 第59-60页 |
| §4.2 Main methodS | 第60-68页 |
| ·Global Moran's I statistic | 第60-61页 |
| ·Local indicators of spatial associations- LISAs | 第61-65页 |
| ·The Moran's scatterplot | 第65-66页 |
| ·The concentration-area model | 第66-68页 |
| ·Data analyses using computer softwares | 第68页 |
| §4.3 Major works and results | 第68-83页 |
| ·Cu concentration in the study area | 第68-72页 |
| ·Spatial distribution of anomalies | 第72-75页 |
| ·Local instability analysis | 第75页 |
| ·Spatial clusters and spatial outlier analysis | 第75-81页 |
| ·Hot spot analysis | 第81-83页 |
| §4.4 Conclusion | 第83-85页 |
| CHAPTER 5 IDENTIFICATION OF LOCAL CLUSTERS AND OUTLIERS OF GEOCHEMICAL ASSOCIATIONS OF ELEMENTS BASED ON A COMBINATION OF MAHALANOBIS DISTANCE AND LOCAL MORAN STATISTIC | 第85-111页 |
| §5.1 Introduction | 第85-86页 |
| §5.2 Main methods | 第86-87页 |
| ·The robust Mahalanobis distance(RMD) | 第86页 |
| ·The RD-based local spatial outlier and cluster idenfication | 第86页 |
| ·Local instability analysis | 第86-87页 |
| ·Data analyses using computer softwares | 第87页 |
| §5.3 Major works and results | 第87-109页 |
| ·Statistical parameter analysis | 第87-88页 |
| ·Correlation analysis | 第88-89页 |
| ·Spatial distribution of three associations of elements | 第89-94页 |
| ·Distribution of robust Mahalanobis distances | 第94-96页 |
| ·Spatial variability analysis of RMDs | 第96-98页 |
| ·Local instability analysis | 第98页 |
| ·Spatial cluster and outlier analysis | 第98-109页 |
| §5.4 Conclusion | 第109-111页 |
| CHAPTER 6 CONCLUSIONS AND FURTHER WORK | 第111-113页 |
| §6.1 Main conclusions | 第111-112页 |
| ·Spatial variability analysis | 第111页 |
| ·Spatial distribution pattern analysis | 第111-112页 |
| §6.2 Innovations | 第112页 |
| §6.3 Limitations and future perspectives | 第112-113页 |
| REFERENCES | 第113-124页 |
