| Kode Mata Kuliah | GL4031 / 2 SKS |
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| Penyelenggara | 120 - Geological Engineering / FITB |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Geostatistik | Geostatistics |
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| Bahan Kajian | - Pendahuluan
Eksploratory Data Analisis 1. Univariate Statistik
- Eksploratory Data Analisis 2. Bivariate Statistik dan Spatial
Continuity Model
Modeling Semi Variogram
- Modeling Semi Variogram dengan ILWIS
Macam-macam variogram model
- Diskusi model variogram
Estimasi (1); Pengenaan berbagai macam metode estimasi
- Estimasi (2) Estimasi dengan Kriging
Kriging Uncertainty
Menyelesaikan tugas Final Project dan Diskusi Hasil
| - Introduction
Exploratory Data Analysis 1. Univariate Statistics
- Exploratory Data Analysis 2. Bivariate and Spatial Statistics
Continuity Model
Semi Variogram Modeling
- Semi Variogram Modeling with ILWIS
Variogram model
- Variogram model discussion
Estimation (1); Imposition of various estimation methods
- Estimation (2) Estimation with Kriging
Kriging Uncertainty
Final project completion and results discussion
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Memahami data spasial yang dapat digunakan untuk geostatistik yang baik
- Dapat melakukan Exploratory Data Analysis (EDA) pada data geologi dengan
menggunakan berbagai metode statistic dasar
- Memahami perbedaan dasar spatial statistik dan non-spatial statistik
- Mengetahui berbagai macam model variogram, memilih model variogram yang
tepat dan dapat melakukan pemodelan variogram dengan perangkat lunak ILWIS
- Mengetahui berbagai macam persamaan kriging dan erornya, dan dapat membuat
peta estimasi dengan ordinary kriging
Melakukan interpretasi sederhana penyebab anomaly pada peta estimasikriging
| - Understand spatial data that can be used for good geostatistics
- Can perform Exploratory Data Analysis (EDA) on geological data by
using various basic statistical methods
- Understand the basic differences between spatial statistics and non-spatial statistics
- Knowing the various variogram models, choosing the right variogram model
appropriate and can perform variogram modeling with ILWIS software
- Know various kinds of kriging equations and their errors, and be able to create
map estimation with ordinary kriging
Perform simple interpretation of the cause of anomaly in the estimated frigging map
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| Metode Pembelajaran | Knowledge Based Leaning (KBL)
Problem based learning (PBL) | Knowledge Based Leaning (KBL)
Problem based learning (PBL) |
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| Modalitas Pembelajaran | Luring
Daring
Sinkron
Asinkron | Offline
Online
Synchronus
Asynchronus |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Tertulis : Uraian, Esai
Tugas : Laporan | Written : Description, Essay
Tasks : Report |
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| Catatan Tambahan | | |
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