Page 345 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS

Subject Index 349

linear, 24, 27 Boolean, 199
point, 24, 27 multi-class, 189, 191
polygonal, 24, 27 Map overlay operations, 18, 44, 127, 176,
quantisation of, 28 191, 263, 295
sampling-limited, 24, 253 unique conditions map, 46
Georeference, 27 unique polygons map, 46
Geothermal, 155 Mapping, 3, 5
Goodness-of-fit, 8, 17, 117, 265 Matrix
Greenfields, 189 consistent, 202
correlation, 78, 79, 123, 137
Histogram, 10, 54 covariance, 78, 79, 123
map, 36 pairwise comparison, 200
table, 192 singularity, 117
Hydrothermal alteration, 3, 15, 64, 307 Median absolute deviation, 57
Hydrothermal mineralisation, 160, 237 Mineral deposit model, 13, 186
Mineral exploration
Inference network, 20, 196 area selection, 3
Boolean, 196 reserve definition, 3, 7
calibration, 204, 235 resource estimation, 7
combining belief functions, 232 resource evaluation, 3
fuzzy, 210, 222 target generation, 3, 6, 7, 12, 17
Intersect operation, 45 Mineral favourability. See Mineral
cross, 45, 127, 165 prospectivity
spatial join, 45 Mineral potential. See Mineral prospectivity
zonal statistics, 165 Mineral prospectivity, 12
Inverse distance, 237 conceptual model, 12, 147
evidential features, 14
Jack-knife cross-validation, 271 predictive model parameters, 14
Join operation predictor maps, 14
table, 62, 127 recognition criteria, 14, 148, 184, 187,
190, 249
Kernel, 42, 99 Mineralisation controls, 190
Knowledge elicitation, 189 heat-source, 15, 237
Knowledge-guided data-driven technique, host, 160
236, 284 structural, 15, 148, 237
Kriging, 99 Model, 4
calibration, 17, 204, 235, 279
Logical functions, 20, 191 conceptual, 12
Logistic regression, 10, 18, 251, 261, 265 cross-validation, 16, 191
Log-normal distribution, 51 exploration, 3, 186, 316
fitting-rate, 17, 270
Map prediction-rate, 17, 191, 270
binary, 88, 90 predictive, 4, 190