THE MODELING SEMIVARIOGRAM OF GOLD DATA IN CLUSTERING HIERARKI GROUP (CASE STUDY: GOLD PROSPEK DATA IN ACEH)
Mining process includes many locations. In statistics, the location can be viewed as an index parameter. And in each of these locations can be measured a random variable, so that rows of random variables included in the process of spatial. To measure influenced between two observations separated by...
Saved in:
Main Author: | YUNITA SARI, ANSRI |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21159 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
SEMIVARIOGRAM MODELLING ON MULTIVARIATE DATA USING PRINCIPAL COMPONENT ANALYSIS (CASE STUDY: GOLD PROSPECT DATA IN ACEH)
by: Chandra, Benny -
SPATIAL NON HIERARCHICAL CLUSTER ANALYSIS WITH K-MEANS++ AND SEMIVARIOGRAM MODELING CASE STUDY: EARTHQUAKE DATA IN EAST INDONESIA
by: Lutfi, Lusiana -
MODELING OF GEOMETRIC AND ZONAL ANISOTROPIC SEMIVARIOGRAM CASE STUDY OF EARTHQUAKE DATA IN MALUKU
by: Muthi'ah Rahmah, Nabila -
ISOTROPIC SEMIVARIOGRAM MODELING WITH KERNEL APPROACH (CASE STUDY: KALIMANTAN PEATLAND DATA)
by: Dhiya Rachmy Ariffia, Andi -
THE USE OF KERNEL FUNCTION AND BANDWIDTH IN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) MODELING (CASE STUDY: GOLD PROSPECT DATA IN ACEH)
by: Erienci Fitri, Lucci