Repositori untuk menyimpan material Long Course STMKGxHMGI tentang Geophysical Python for Seismic Data Analysis

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Data Analysispythonseismology
Overview

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Long Course

"Geophysical Python for Seismic Data Analysis"

Instruktur: Dr.rer.nat. Wiwit Suryanto, M.Si

Dipersiapkan oleh: Anang Sahroni

Waktu:

Sesi 1: 18 September 2021

Sesi 2: 25 September 2021

Tempat: Zoom Meeting

Agenda: Memberikan wawasan kepada mahasiswa Geofisika dalam pengolahan data Geofisika: pemrosesan data seismik menggunakan python.

Luaran

  1. Peserta dapat melakukan instalasi Python
  2. Peserta dapat membuat dan menggunakan Jupyter Notebook
  3. Peserta dapat membaca, memfilter, dan mengeplot peta dan statistik gempa bumi menggunakan modul umum Python seperti numpy, scipy, dan matplotlib
  4. Peserta dapat menentukan parameter gempa menggunakan metode yang sederhana pada Python memanfaatkan modul seismologi seperti obspy

Peralatan untuk peserta

Laptop ataupun Personal Computer (PC) yang terkoneksi dengan internet.
Jika hendak menjalankan kode tanpa instalasi bisa melalui: Binder

Data:

  1. Katalog Gempa Bumi Badan Meteorologi Klimatologi dan Geofisika (BMKG)
  2. Titik-titik Stasiun untuk berbagai jaringan seismometer

Jadwal

Topik
PRESESI: 17 September 2021
Instalasi Python dalam Miniconda atau PDF
1. Instalasi Miniconda pada Windows, Linux, ataupun MacOS
2. Menjalankan Python Console melalui Anaconda Prompt
3. Menulis kode dalam editor (Integrated Development Environment/IDE) kode dan menjalankannya melalui Anaconda Prompt
4. Pengenalan IDE dan beberapa contohnya
5. Menginstall pandas, numpy, matplotlib, scipy, Cartopy, dan notebook menggunakan Anaconda Prompt pada virtual environment
6. Menjalankan kode sederhana di Jupyter Notebook
7. Memanggil fungsi bawaan python (math), mencoba, dan memanggil bantuan (help) untuk masing-masing fungsi
8. Memberikan catatan dan gambar dalam bentuk Markdown di Jupyter Notebook
9. Menyimpan notebook pada repositori Github dan menambahkan ke Binder
10. Mengupdate notebook dan melakukan commit ke repositori
EXERCISE: Membuat panduan instalasi Miniconda pada Jupyter Notebook dan menambahkannya di repositori Github individu.
SESI 1: 18 September 2021
Introduction to geophysical programming using python: basic python for seismology Materi 1 (PDF/Open In Colab) dan Materi 2 (PDF/Open In Colab) atau Binder
1. Membaca data katalog menggunakan pandas
2. Membedakan jenis-jenis data antar kolom pada katalog (String, Integer, dan Float)
3. Mengambil salah satu kolom ke dalam bentuk List dan mempelajari metode-metode pada List (indexing, slicing, append, dan lain sebagainya)
4. Menggunakan for loop untuk mengkonversi format String menjadi datetime untuk waktu kejadian
5. Menggunakan conditional untuk memfilter katalog berdasarkan besar magnitudo atau waktu
6. Membuat fungsi untuk memfilter katalog berdasarkan kedalaman dan menyimpannya menjadi modul siap impor
7. Membuat plot magnitudo dengan jumlah kejadian dan waktu kejadian (dapat berupa G-R Plot atau plot sederhana)
8. Mengkombinasikan List latitude dan longitude untuk mengeplot episenter
9. Mengintegrasikan kolom magnitude untuk membedakan ukuran titik titik plot
10. Mengintegrasikan kolom kedalaman untuk membedakan warna titik plot
11. Menambahkan basemap pada plot Menggunakan Cartopy
EXERCISE: Membaca file titik stasiun, memfilter berdasarkan network, dan mengeplotnya bersama dengan titik-titik gempa.
SESI 2: 25 September 2021
Source Mechanism and processing seismic data with python : Determine earthquake epicenter, hypocenter, and type of P Wave
Jika menggunakan komputer lokal silahkan install modul yang dibutuhkan pada sesi dua dengan cara: conda install -c conda-forge xarray rasterio tqdm
1. Menentukan episenter dengan metode lingkaran Materi
2. Menentukan hiposenter dengan metode Geiger dan probabilistik Materi 1, Materi 2
3. Pengenalan pengolahan waveform dengan obspy Materi

Software untuk diinstall

  1. Miniconda. Instalasi Python akan dilakukan menggunakan Anaconda Distribution dalam bentuk lite yaitu Miniconda. Dengan Miniconda instalasi paket atau modul pendukung untuk Python akan lebih mudah dan tertata. Unduh installer Miniconda, pilih untuk versi Python 3.8.
  2. Editor teks agar penulisan kode lebih mudah karena biasanya sudah disertai pewarnaan kode (syntax highlighting) dan indentasi otomatis. Editor teks dapat menggunakan Notepad++, SublimeText, atau menggunakan IDE yang lebih kompleks seperti PyCharm dan Visual Studio Code.

Software-software yang dibutuhkan tersebut sudah harus diinstall sebelum proses pemberian materi dimulai karena ukurannya cukup besar.

Akun Github

Peserta workshop dianjurkan mendaftarkan akun GitHub melalui Daftar Github

Bacaan Tambahan:

Peserta dapat belajar pada Lesson di Software Carpentry dengan materi yang mendalam dan metode yang sama yaitu learning by doing.

Referensi

Panduan ini disusun terinspirasi dari materi pada Software Carpentry, materi inversi hiposenter probabilistik Igel & Geßele di Seismo Live,panduan workshop Leonardo Uieda pada repositori, serta Lisa Itauxe Python for ES Student berikut ini.

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