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

Related tags

Data Analysispythonseismology
Overview

header_image

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.

You might also like...
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Damien Farrell 81 Dec 26, 2022
A data analysis using python and pandas to showcase trends in school performance.
A data analysis using python and pandas to showcase trends in school performance.

A data analysis using python and pandas to showcase trends in school performance. A data analysis to showcase trends in school performance using Panda

Jimmy Faccioli 0 Sep 7, 2021
A collection of learning outcomes data analysis using Python and SQL, from DQLab.
A collection of learning outcomes data analysis using Python and SQL, from DQLab.

Data Analyst with PYTHON Data Analyst berperan dalam menghasilkan analisa data serta mempresentasikan insight untuk membantu proses pengambilan keputu

null 6 Oct 11, 2022
DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis.
DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis.

DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis. The main goal of the package is to accelerate the process of computing estimates of forward reachable sets for nonlinear dynamical systems.

null 2 Nov 8, 2021
Python-based Space Physics Environment Data Analysis Software

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

SPEDAS 98 Dec 22, 2022
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little

Himanshu Kumar singh 2 Dec 4, 2021
Project under the certification
Project under the certification "Data Analysis with Python" on FreeCodeCamp

Sea Level Predictor Assignment You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea

Bhavya Gopal 3 Jan 31, 2022
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging

Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L

xraypy 95 Dec 13, 2022
Releases(v1.0.0)
Owner
Anang Sahroni
newbie/amateur
Anang Sahroni
GitHub Repository
A variant of LinUCB bandit algorithm with local differential privacy guarantee

Contents LDP LinUCB Description Model Architecture Dataset Environment Requirements Script Description Script and Sample Code Script Parameters Launch

Weiran Huang 4 Oct 25, 2022
Data science/Analysis Health Care Portfolio

Health-Care-DS-Projects Data Science/Analysis Health Care Portfolio Consists Of 3 Projects: Mexico Covid-19 project, analyze the patient medical histo

Mohamed Abd El-Mohsen 1 Feb 13, 2022
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

Amir Ali 2 Jun 17, 2022
Stock Analysis dashboard Using Streamlit and Python

StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th

StreamAlpha 27 Dec 09, 2022
Minimal working example of data acquisition with nidaqmx python API

Data Aquisition using NI-DAQmx python API Based on this project It is a minimal working example for data acquisition using the NI-DAQmx python API. It

Pablo 1 Nov 05, 2021
MS in Data Science capstone project. Studying attacks on autonomous vehicles.

Surveying Attack Models for CAVs Guide to Installing CARLA and Collecting Data Our project focuses on surveying attack models for Connveced Autonomous

Isabela Caetano 1 Dec 09, 2021
ASOUL直播间弹幕抓取&&数据分析

ASOUL直播间弹幕抓取&&数据分析（更新中） 这些文件用于爬取ASOUL直播间的弹幕（其他直播间也可以）和其他信息，以及简单的数据分析生成。

159 Dec 10, 2022
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
A data parser for the internal syncing data format used by Fog of World.

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data struc

Zed(Zijun) Chen 40 Dec 12, 2022
Hydrogen (or other pure gas phase species) depressurization calculations

HydDown Hydrogen (or other pure gas phase species) depressurization calculations This code is published under an MIT license. Install as simple as: pi

Anders Andreasen 13 Nov 26, 2022
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

FilterPy - Kalman filters and other optimal and non-optimal estimation filters in Python. NOTE: Imminent drop of support of Python 2.7, 3.4. See secti

Roger Labbe 2.5k Dec 30, 2022
yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data.

The yt Project yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. yt supports structured, varia

The yt project 367 Dec 25, 2022
Python package for processing UC module spectral data.

UC Module Python Package How To Install clone repo. cd UC-module pip install . How to Use uc.module.UC(measurment=str, dark=str, reference=str, heade

Nicolai Haaber Junge 1 Oct 20, 2021
nrgpy is the Python package for processing NRG Data Files

nrgpy nrgpy is the Python package for processing NRG Data Files Website and source: https://github.com/nrgpy/nrgpy Documentation: https://nrgpy.github

NRG Tech Services 23 Dec 08, 2022
ETL flow framework based on Yaml configs in Python

ETL framework based on Yaml configs in Python A light framework for creating data streams. Setting up streams through configuration in the Yaml file.

Павел Максимов 18 Jul 06, 2022
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
Feature engineering and machine learning: together at last

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

Alexandr Savinov 14 Sep 15, 2022
WAL enables programmable waveform analysis.

This repro introcudes the Waveform Analysis Language (WAL). The initial paper on WAL will appear at ASPDAC'22 and can be downloaded here: https://www.

Institute for Complex Systems (ICS), Johannes Kepler University Linz 40 Dec 13, 2022
Creating a statistical model to predict 10 year treasury yields

Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had

10 Oct 27, 2021
Methylation/modified base calling separated from basecalling.

Remora Methylation/modified base calling separated from basecalling. Remora primarily provides an API to call modified bases for basecaller programs s

Oxford Nanopore Technologies 72 Jan 05, 2023