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<!DOCTYPE html>
<html lang="en"><head>
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<meta name="author" content="Tutor: Agung Baruna Setiawan Noor, S.Si., M.Si.">
<title>Analisis dan Visualisasi Data Iklim dengan R & Python</title>
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<body class="quarto-light">
<div class="reveal">
<div class="slides">
<section id="title-slide" class="quarto-title-block center">
<h1 class="title">Analisis dan Visualisasi Data Iklim dengan R & Python</h1>
<p class="subtitle">Klimatologi Terapan - IPB University</p>
<div class="quarto-title-authors">
<div class="quarto-title-author">
<div class="quarto-title-author-name">
Tutor: Agung Baruna Setiawan Noor, S.Si., M.Si.
</div>
</div>
</div>
</section>
<section id="presentasi-ini-dibuat-dengan-quarto" class="title-slide slide level1 center">
<h1>Presentasi ini dibuat dengan <a href="https://quarto.org">Quarto</a></h1>
<ul>
<li>Quarto adalah salah satu software yang dikembangkan oleh <a href="https://posit.co">Posit</a>. Salah satu kegunaannya adalah membuat presentasi seperti ini.</li>
<li>Sesi interaktif pada presentasi ini dapat memudahkan Anda dalam memilih bahasa pemrograman yang akan digunakan sesuai dengan topik, yaitu R atau Python (silahkan klik pada salah satu tab di bawah ini)</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-1" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-1-1">R</a></li><li><a href="#tabset-1-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-1-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href=""></a><span class="fu">print</span>(<span class="st">"Hello, R!"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "Hello, R!"</code></pre>
</div>
</div>
</div>
<div id="tabset-1-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href=""></a><span class="bu">print</span>(<span class="st">"Hello, Python!"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>Hello, Python!</code></pre>
</div>
</div>
</div>
</div>
</div>
</section>
<section id="mungkin-sudah-kenal" class="title-slide slide level1 center">
<h1>🤝 Mungkin Sudah Kenal</h1>
<ul>
<li>Agung Baruna Setiawan Noor, panggil saja Agung</li>
<li>S1: Meteorologi Terapan, GFM, IPB (2015-2019)</li>
<li>S2: Klimatologi Terapan, Sekolah Pascasarjana, IPB (2020-2021)</li>
<li>Rumahnya di sini 👇</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-2" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-2-1">R</a></li><li><a href="#tabset-2-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-2-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href=""></a><span class="fu">library</span>(leaflet)</span>
<span id="cb5-2"><a href=""></a><span class="fu">leaflet</span>() <span class="sc">%>%</span> <span class="fu">addTiles</span>() <span class="sc">%>%</span> </span>
<span id="cb5-3"><a href=""></a> <span class="fu">setView</span>(<span class="at">lng =</span> <span class="fl">106.685</span>, <span class="at">lat =</span> <span class="sc">-</span><span class="fl">6.575</span>, <span class="at">zoom =</span> <span class="dv">12</span>) <span class="sc">%>%</span></span>
<span id="cb5-4"><a href=""></a> <span class="fu">addMarkers</span>(<span class="at">lng =</span> <span class="fl">106.685</span>, <span class="at">lat =</span> <span class="sc">-</span><span class="fl">6.575</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="leaflet html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-af11e7815a699aa21f98" style="width:100%;height:400px;"></div>
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<div class="cell">
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href=""></a><span class="im">import</span> folium</span>
<span id="cb6-2"><a href=""></a>m <span class="op">=</span> folium.Map(location<span class="op">=</span>[<span class="op">-</span><span class="fl">6.575</span>, <span class="fl">106.685</span>], zoom_start<span class="op">=</span><span class="dv">12</span>)</span>
<span id="cb6-3"><a href=""></a>folium.Marker([<span class="op">-</span><span class="fl">6.575</span>, <span class="fl">106.685</span>]).add_to(m)</span>
<span id="cb6-4"><a href=""></a>m</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="cell-output-display">
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</div>
</div>
</div>
</div>
</div>
</section>
<section>
<section id="sebelum-mulai" class="title-slide slide level1 center">
<h1>Sebelum Mulai</h1>
<p>Pastikan Anda telah memasang bahasa pemrograman R dan/atau Python sesuai dengan Sistem Operasi masing-masing, serta Text Editor/IDE yang dirasa nyaman (contoh: RStudio, Jupyter, VSCode, JetBrains PyCharm, atau Neovim 🗿)</p>
</section>
<section id="r-2" class="slide level2">
<h2>R</h2>
<ul>
<li>Rekomendasi IDE: <a href="https://www.rstudio.com/products/rstudio/download/">RStudio</a></li>
</ul>
<table>
<thead>
<tr class="header">
<th>Sistem Operasi</th>
<th>Link unduh</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Windows 10/11</td>
<td><a href="https://cran.r-project.org/bin/windows/base/R-4.3.3-win.exe" class="uri">https://cran.r-project.org/bin/windows/base/R-4.3.3-win.exe</a></td>
</tr>
<tr class="even">
<td>Ubuntu 22.04</td>
<td>Ikuti langkah ini <a href="https://cran.r-project.org/bin/linux/ubuntu/" class="uri">https://cran.r-project.org/bin/linux/ubuntu/</a></td>
</tr>
<tr class="odd">
<td>MacOS</td>
<td><ul>
<li><a href="https://cran-r--project-org.translate.goog/bin/macosx/big-sur-arm64/base/R-4.3.3-arm64.pkg?_x_tr_sl=en&_x_tr_tl=id&_x_tr_hl=id&_x_tr_pto=tc" class="uri">https://cran-r--project-org.translate.goog/bin/macosx/big-sur-arm64/base/R-4.3.3-arm64.pkg?_x_tr_sl=en&_x_tr_tl=id&_x_tr_hl=id&_x_tr_pto=tc</a> (M1-M3)</li>
<li><a href="https://cran-r--project-org.translate.goog/bin/macosx/big-sur-x86_64/base/R-4.3.3-x86_64.pkg?_x_tr_sl=en&_x_tr_tl=id&_x_tr_hl=id&_x_tr_pto=tc" class="uri">https://cran-r--project-org.translate.goog/bin/macosx/big-sur-x86_64/base/R-4.3.3-x86_64.pkg?_x_tr_sl=en&_x_tr_tl=id&_x_tr_hl=id&_x_tr_pto=tc</a> (Intel)</li>
</ul></td>
</tr>
<tr class="even">
<td></td>
<td></td>
</tr>
</tbody>
</table>
</section>
<section id="python-2" class="slide level2">
<h2>🐍 Python</h2>
<ul>
<li>Rekomendasi IDE: <a href="https://jupyter.org">Jupyter Notebook</a></li>
<li>Pemasangan Python disarankan menggunakan <a href="https://www.anaconda.com/products/distribution">Anaconda/Miniconda</a></li>
<li>Anda juga dapat memanfaatkan Google Colaboratory jika tidak ingin memasang Python di komputer/laptop lokal</li>
</ul>
<div class="callout callout-note callout-titled callout-style-default">
<div class="callout-body">
<div class="callout-title">
<div class="callout-icon-container">
<i class="callout-icon"></i>
</div>
<p><strong>Note</strong></p>
</div>
<div class="callout-content">
<p>Pemasangan package di dalam Google Colaboratory dapat dilakukan dengan perintah <code>!conda install -c conda-forge nama-package</code></p>
</div>
</div>
</div>
</section>
<section id="langkah-pemasangan-jupyter-notebook" class="slide level2">
<h2>Langkah Pemasangan Jupyter Notebook</h2>
<ul>
<li>Jika Anda telah memasang Anaconda, Jupyter Notebook sudah terpasang secara otomatis, <em>kecuali</em> Miniconda.</li>
<li>Untuk membuka Jupyter Notebook, buka Anaconda Navigator dan klik Jupyter Notebook</li>
<li>Atau, bisa menggunakan perintah berikut di terminal Anaconda Prompt. Secara otomatis, Jupyter Notebook akan terbuka di browser.</li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode numberSource bash number-lines code-with-copy"><code class="sourceCode bash"><span id="cb7-1"><a href=""></a><span class="ex">jupyter</span> notebook</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<ul>
<li>Untuk MacOS dan Linux, jupyter notebook juga telah terpasang otomatis saat memasang Anaconda. Perintah di atas juga berlaku di MacOS dan Linux</li>
<li>Untuk pengguna Miniconda, Anda perlu memasang Jupyter Notebook secara manual dengan perintah berikut di terminal Anaconda Prompt</li>
</ul>
</section></section>
<section id="data" class="title-slide slide level1 center">
<h1>📊 Data</h1>
<p>Data-data di bawah ini dapat diunduh pada halaman <a href="https://s.id/cdav-data">https://s.id/cdav-data</a></p>
<ul>
<li>Data iklim Observasi harian di Pulau Jawa oleh <a href="https://dataonline.bmkg.go.id">BMKG</a></li>
<li>Data curah hujan reanalisis bulanan <a href="https://data.chc.ucsb.edu">Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)</a></li>
<li>Data suhu udara dan curah hujan reanalisis <a href="https://crudata.uea.ac.uk">Climate Research Unit (CRU)</a> bulanan</li>
</ul>
</section>
<section>
<section id="package" class="title-slide slide level1 center">
<h1>📦 Package</h1>
<p>Anda perlu memasang beberapa package di bawah ini sesuai dengan bahasa pemrograman yang akan digunakan.</p>
<div class="panel-tabset">
<ul id="tabset-3" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-3-1">R</a></li><li><a href="#tabset-3-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-3-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href=""></a><span class="fu">install.packages</span>(<span class="fu">c</span>(<span class="st">"tidyverse"</span>, <span class="st">"metR"</span>, <span class="st">"readxl"</span>, <span class="st">"ncdf4"</span>, </span>
<span id="cb8-2"><a href=""></a> <span class="st">"plotly"</span>, <span class="st">"leaflet"</span>, <span class="st">"tmap"</span>, <span class="st">"leaflet.extras"</span>, </span>
<span id="cb8-3"><a href=""></a> <span class="st">"raster"</span>, <span class="st">"sf"</span>, <span class="st">"gstat"</span>, <span class="st">"PCICt"</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
<div id="tabset-3-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode numberSource bash number-lines code-with-copy"><code class="sourceCode bash"><span id="cb9-1"><a href=""></a><span class="ex">conda</span> create <span class="at">-n</span> cdav-pyR <span class="at">-c</span> conda-forge ipykernel jupyter plotly geopandas rioxarray leafmap openpyxl cartopy iris</span>
<span id="cb9-2"><a href=""></a><span class="ex">conda</span> activate cdav-pyR</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
</div>
</div>
</section>
<section id="apa-yang-akan-dipelajari" class="slide level2">
<h2>Apa yang akan dipelajari?</h2>
<h3 id="hari-ke-1-22-maret-2024">Hari ke-1: 22 Maret 2024</h3>
<ol type="1">
<li>R & Python untuk Analisis Data Iklim</li>
<li>Jenis Data Iklim</li>
<li>Pra-Proses Pengolahan Data Iklim</li>
<li>Explorative Data Analysis (EDA) Iklim</li>
<li>Interpolasi Spasial Data Iklim</li>
</ol>
<h3 id="hari-ke-2-23-maret-2024">Hari ke-2: 23 Maret 2024</h3>
<ol type="1">
<li>Dasar Visualisai Data Iklim</li>
<li>Visualisasi Interaktif Data Iklim</li>
</ol>
<div title="Learning by Case Study">
<div class="callout callout-important callout-titled callout-style-default">
<div class="callout-body">
<div class="callout-title">
<div class="callout-icon-container">
<i class="callout-icon"></i>
</div>
<p><strong>Learning by Case Study</strong></p>
</div>
<div class="callout-content">
<p>Di dalam tutorial ini, data-data di atas yang telah Anda unduh akan digunakan langsung sebagai bahan praktik sehingga beberapa teori dasar tentang R & Python akan dijelaskan hanya secara singkat</p>
</div>
</div>
</div>
</div>
</section></section>
<section>
<section id="hari-ke-1-22-maret-2024-1" class="title-slide slide level1 center">
<h1>Hari ke-1: 22 Maret 2024</h1>
<ol type="1">
<li>R & Python untuk Analisis Data Iklim</li>
<li>Jenis Data Iklim</li>
<li>Pra-Proses Pengolahan Data Iklim</li>
<li>Explorative Data Analysis (EDA) Iklim</li>
<li>Interpolasi Spasial Data Iklim</li>
</ol>
<div title="Useful References">
<div class="callout callout-tip callout-titled callout-style-default">
<div class="callout-body">
<div class="callout-title">
<div class="callout-icon-container">
<i class="callout-icon"></i>
</div>
<p><strong>Useful References</strong></p>
</div>
<div class="callout-content">
<p><a href="https://projectpythia.org">https://projectpythia.org</a> – <a href="https://r4ds.had.co.nz">https://r4ds.had.co.nz</a> – <a href="https://leafmap.org">https://leafmap.org</a> – <a href="https://github.com/sacridini/Awesome-Geospatial">https://github.com/sacridini/Awesome-Geospatial</a> – <a href="https://github.com/pangeo-data/awesome-open-climate-science">https://github.com/pangeo-data/awesome-open-climate-science</a> – <a href="https://github.com/meteostat/meteostat-python">https://github.com/meteostat/meteostat-python</a> – <a href="https://github.com/pangeo-data/WeatherBench">https://github.com/pangeo-data/WeatherBench</a></p>
</div>
</div>
</div>
</div>
</section>
<section id="r-python-untuk-analisis-data-iklim-1" class="slide level2">
<h2>R & Python untuk Analisis Data Iklim (1)</h2>
<ul>
<li>R dan Python merupakan bahasa pemrograman interpreter. Pada awalnya, bahasa tersebut memiliki kegunaan yang berbeda.</li>
<li>R umum digunakan untuk analisis dan visualisasi data statistik, sedangkan python adalah bahasa pemrograman umum, yaitu tidak dibatasi pada satu bidang khusus</li>
<li>Seiring berkembangnya kedua bahasa pemrograman ini, keduanya dapat menjadi pilihan yang baik untuk analisis data iklim.</li>
<li>Data iklim saat ini tersedia dengan berbagai format data, serta ukuran file nya yang semakin besar. Jadi, kedua bahasa pemrograman ini sebagai pengolah data dapat dimanfaatkan.</li>
<li>Beberapa package R dan Python yang memiliki kemiripan fungsi:</li>
</ul>
<table>
<thead>
<tr class="header">
<th>R</th>
<th>Python</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td><code>dplyr</code>/<code>data.table</code></td>
<td><code>pandas</code>/<code>polars</code></td>
</tr>
<tr class="even">
<td><code>ggplot2</code></td>
<td><code>matplotlib</code>/<code>seaborn</code>/<code>bokeh</code></td>
</tr>
<tr class="odd">
<td><code>rasterVis</code></td>
<td><code>iris</code></td>
</tr>
<tr class="even">
<td><code>leaflet</code></td>
<td><code>leafmap</code></td>
</tr>
<tr class="odd">
<td><code>ncdf4</code>/<code>metR</code></td>
<td><code>xarray</code>/<code>netcdf4</code></td>
</tr>
<tr class="even">
<td><code>raster</code>/<code>stars</code>/<code>terra</code></td>
<td><code>rasterio</code>/<code>rioxarray</code></td>
</tr>
<tr class="odd">
<td><code>sf</code>/<code>sp</code></td>
<td><code>geopandas</code>/<code>shapely</code></td>
</tr>
</tbody>
</table>
</section>
<section id="r-python-untuk-analisis-data-iklim-2" class="slide level2">
<h2>R & Python untuk Analisis Data Iklim (2)</h2>
<div>
<ul>
<li class="fragment">Mengapa saya memilih R?
<ul>
<li class="fragment">Indeks mulai dari 1 🗿</li>
<li class="fragment"><em>Package</em> statistik dan visualisasi lebih banyak, seperti <code>dplyr</code>, <code>datatable</code>, <code>ggplot2</code>, …, bahkan spasial, seperti <code>raster</code>, <code>stars</code>, <code>sf</code>, <code>tmap</code>, <code>leaflet</code>, …</li>
<li class="fragment">Lebih mudah sintaksnya</li>
</ul></li>
<li class="fragment">Mengapa saya memilih Python?
<ul>
<li class="fragment">Walaupun R & Python sama-sama bahasa pemrograman interpreter di mana kecepatan eksekusi selalu lebih lambat dibandingkan dengan C atau Fortran, Python lebih cepat daripada R (untuk kasus tertentu)</li>
<li class="fragment">Manajemen memory lebih baik</li>
<li class="fragment">Lebih mudah melakukan komputasi paralel dengan <code>dask</code> sehingga cocok untuk data besar</li>
</ul></li>
<li class="fragment">Mengapa saya tidak memilih R?
<ul>
<li class="fragment">Manajemen memori kurang baik sehingga membutuhkan RAM yang lebih besar (untuk kasus data besar)</li>
<li class="fragment">Sangat <em>tricky</em> untuk menjalankan komputasi paralel</li>
</ul></li>
<li class="fragment">Mengapa saya tidak memilih Python?
<ul>
<li class="fragment">Indeks mulai dari 0 🗿</li>
<li class="fragment">Sintaks relatif sulit daripada R jika yang pertama kali dipelajari adalah R</li>
<li class="fragment">Package statistik dan visualisasi tidak sebanyak R</li>
<li class="fragment">Sintaks untuk melakukan visualisasi relatif sulit, apalagi jika membuat grafik panel karena membutuhkan perulangan (kasus di <code>matplotlib</code>)</li>
</ul></li>
</ul>
</div>
</section>
<section id="jenis-data-iklim" class="slide level2">
<h2>Jenis Data Iklim</h2>
<ul>
<li>Data iklim memiliki berbagai bentuk, mulai dari data observasi, hasil model (biasanya berbentuk grid), serta data citra satelit</li>
<li>Format tipe data iklim: spreadsheet/database (seperti Excel, CSV, TSV, SQLite, …), <a href="https://www.unidata.ucar.edu/software/netcdf">netCDF</a>, <a href="https://hdfgroup.org">HDF</a>, <a href="https://climatedataguide.ucar.edu/climate-tools/GRIB">GRIB</a>, dan <a href="https://zarr.dev">Zarr</a>.</li>
<li>Dimensi data iklim: waktu (t), lokasi (x, y, z), dan variabel (pr, t2m, u10, v10, …)</li>
<li>Semakin berkembangnya teknologi komputasi, data iklim saat ini semakin banyak sehingga ukuran file datanya juga semakin besar. Contoh data iklim tersedia gratis: <a href="https://registry.opendata.aws/noaa-gfs-bdp-pds/">Global Forecast System (GFS)</a>, <a href="https://data.ecmwf.int/">ECMWF IFS</a>, dan <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview">ERA5</a></li>
</ul>
<img data-src="images/climatedata3d.png" style="width:30.0%" class="r-stretch"><div class="callout callout-tip callout-titled callout-style-default">
<div class="callout-body">
<div class="callout-title">
<div class="callout-icon-container">
<i class="callout-icon"></i>
</div>
<p><strong>Tip</strong></p>
</div>
<div class="callout-content">
<p>Untuk mengubah format data iklim GRIB menjadi netCDF, Anda dapat menggunakan software Climate Data Operator (CDO) dan perintahnya adalah <code>cdo -f nc copy nama-file.grib nama-file.nc</code></p>
</div>
</div>
</div>
</section>
<section id="pra-proses-pengolahan-data-iklim-1" class="slide level2">
<h2>Pra-Proses Pengolahan Data Iklim (1)</h2>
<ul>
<li>Sebelum mengolah, pastikan Anda punya datanya dulu 🗿</li>
<li>Data iklim biasanya berupa data mentah (tulisan tangan). Tapi untuk saat ini, khususnya data observasi, data mentah ini sudah tersedia dalam format digital. Hanya saja, ketersediaan data untuk setiap lokasi pengamatan terkadang terdapat data yang hilang (missing value) sehingga data ini perlu diisi dengan beberapa metode tertentu.</li>
<li>Untuk mengimpor file tersebut ke dalam R/Python, Anda dapat menggunakan package <code>readxl</code> (R) atau <code>pandas</code> (Python)</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-4" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-4-1">R</a></li><li><a href="#tabset-4-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-4-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href=""></a><span class="fu">library</span>(readxl)</span>
<span id="cb10-2"><a href=""></a><span class="fu">library</span>(tidyverse)</span>
<span id="cb10-3"><a href=""></a><span class="fu">library</span>(lubridate)</span>
<span id="cb10-4"><a href=""></a>dats <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="st">"data/BMKG-Jawa.xlsx"</span>, <span class="at">sheet =</span> <span class="dv">2</span>)</span>
<span id="cb10-5"><a href=""></a><span class="fu">head</span>(dats)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 6 × 14
Tanggal Tn Tx Tavg RH_avg RR ss ff_x ddd_x ff_avg ddd_car lon
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
1 01-01-1… 23.6 29.4 25.9 84 6 2.7 3 180 1 S 113.
2 02-01-1… 25 30.4 27.9 78 6 2.1 4 225 3 SW 113.
3 03-01-1… 23.2 30.4 27.6 79 0 0 5 270 3 W 113.
4 04-01-1… 24.6 30.3 27.4 82 26 2.6 3 270 2 SE 113.
5 05-01-1… 24.7 31 28.5 77 0 0 3 135 2 SE 113.
6 06-01-1… 23.4 30.8 26.8 85 6 2.9 5 270 1 W 113.
# ℹ 2 more variables: lat <dbl>, elevasi <dbl></code></pre>
</div>
</div>
</div>
<div id="tabset-4-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb12-1"><a href=""></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
<span id="cb12-2"><a href=""></a>dats <span class="op">=</span> pd.read_excel(<span class="st">"data/BMKG-Jawa.xlsx"</span>, sheet_name <span class="op">=</span> <span class="dv">1</span>)</span>
<span id="cb12-3"><a href=""></a>dats.head()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code> Tanggal Tn Tx Tavg ... ddd_car lon lat elevasi
0 01-01-1975 23.6 29.4 25.9 ... S 112.6578 -5.8511 3
1 02-01-1975 25.0 30.4 27.9 ... SW 112.6578 -5.8511 3
2 03-01-1975 23.2 30.4 27.6 ... W 112.6578 -5.8511 3
3 04-01-1975 24.6 30.3 27.4 ... SE 112.6578 -5.8511 3
4 05-01-1975 24.7 31.0 28.5 ... SE 112.6578 -5.8511 3
[5 rows x 14 columns]</code></pre>
</div>
</div>
</div>
</div>
</div>
<ul>
<li>Jika Anda lihat pada bagian kolom <code>Tanggal</code>, tipenya masih berupa karakter (<code>chr</code> di R atau <code>object</code> di Python). Format tanggalnya adalah <code>dd-mm-yyyy</code>.</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-5" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-5-1">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-5-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href=""></a>dats.dtypes</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>Tanggal object
Tn float64
Tx float64
Tavg float64
RH_avg int64
RR float64
ss float64
ff_x int64
ddd_x int64
ff_avg int64
ddd_car object
lon float64
lat float64
elevasi int64
dtype: object</code></pre>
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</div>
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</div>
</section>
<section id="pra-proses-pengolahan-data-iklim-2" class="slide level2">
<h2>Pra-Proses Pengolahan Data Iklim (2)</h2>
<ul>
<li>Untuk mengubah tipe data pada kolom <code>Tanggal</code> menjadi tipe <em>date</em>, Anda dapat menggunakan perintah ini</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-6" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-6-1">R</a></li><li><a href="#tabset-6-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-6-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb16-1"><a href=""></a>dats <span class="ot"><-</span> dats <span class="sc">%>%</span></span>
<span id="cb16-2"><a href=""></a> <span class="fu">mutate</span>(<span class="at">Tanggal =</span> <span class="fu">as.Date</span>(Tanggal, <span class="at">format =</span> <span class="st">'%d-%m-%Y'</span>))</span>
<span id="cb16-3"><a href=""></a><span class="fu">head</span>(dats)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 6 × 14
Tanggal Tn Tx Tavg RH_avg RR ss ff_x ddd_x ff_avg ddd_car
<date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
1 1975-01-01 23.6 29.4 25.9 84 6 2.7 3 180 1 S
2 1975-01-02 25 30.4 27.9 78 6 2.1 4 225 3 SW
3 1975-01-03 23.2 30.4 27.6 79 0 0 5 270 3 W
4 1975-01-04 24.6 30.3 27.4 82 26 2.6 3 270 2 SE
5 1975-01-05 24.7 31 28.5 77 0 0 3 135 2 SE
6 1975-01-06 23.4 30.8 26.8 85 6 2.9 5 270 1 W
# ℹ 3 more variables: lon <dbl>, lat <dbl>, elevasi <dbl></code></pre>
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<div id="tabset-6-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb18"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb18-1"><a href=""></a>dats[<span class="st">'Tanggal'</span>] <span class="op">=</span> pd.to_datetime(dats[<span class="st">'Tanggal'</span>], <span class="bu">format</span><span class="op">=</span><span class="st">"</span><span class="sc">%d</span><span class="st">-%m-%Y"</span>)</span>
<span id="cb18-2"><a href=""></a>dats.dtypes</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>Tanggal datetime64[ns]
Tn float64
Tx float64
Tavg float64
RH_avg int64
RR float64
ss float64
ff_x int64
ddd_x int64
ff_avg int64
ddd_car object
lon float64
lat float64
elevasi int64
dtype: object</code></pre>
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</div>
</div>
</div>
</div>
<ul>
<li>Oleh karena data observasi BMKG memiliki kode 8888 dan 9999, nilai tersebut diubah menjadi <code>NA</code></li>
</ul>
<div class="panel-tabset">
<ul id="tabset-7" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-7-1">R</a></li><li><a href="#tabset-7-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-7-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb20"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb20-1"><a href=""></a>dats <span class="ot"><-</span> dats <span class="sc">%>%</span> </span>
<span id="cb20-2"><a href=""></a> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(dats), <span class="cf">function</span>(x) <span class="fu">if_else</span>(x <span class="sc">==</span> <span class="dv">8888</span> <span class="sc">|</span> x <span class="sc">==</span> <span class="dv">9999</span>, <span class="cn">NA</span>, x)))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
<div id="tabset-7-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb21"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb21-1"><a href=""></a><span class="im">from</span> numpy <span class="im">import</span> nan</span>
<span id="cb21-2"><a href=""></a>dats.replace([<span class="fl">8888.0</span>, <span class="fl">9999.0</span>], nan, inplace<span class="op">=</span><span class="va">True</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
</div>
</div>
<ul>
<li>Kemudian, data observasi harian diubah menjadi data bulanan dengan kolom yang dipilih misalkan <code>Tanggal</code>, <code>Lokasi</code>, <code>Tavg</code>, dan <code>RR</code></li>
</ul>
<div class="panel-tabset">
<ul id="tabset-8" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-8-1">R</a></li><li><a href="#tabset-8-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-8-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb22"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb22-1"><a href=""></a>dats <span class="ot"><-</span> dats <span class="sc">%>%</span></span>
<span id="cb22-2"><a href=""></a> <span class="fu">group_by</span>(<span class="at">Tahun =</span> <span class="fu">year</span>(Tanggal), <span class="at">Bulan =</span> <span class="fu">month</span>(Tanggal)) <span class="sc">%>%</span></span>
<span id="cb22-3"><a href=""></a> <span class="fu">summarise</span>(<span class="at">Tavg =</span> <span class="fu">mean</span>(Tavg, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), <span class="at">RR =</span> <span class="fu">sum</span>(RR, <span class="at">na.rm =</span> <span class="cn">TRUE</span>)) <span class="sc">%>%</span></span>
<span id="cb22-4"><a href=""></a> <span class="fu">mutate</span>(<span class="at">Bulan =</span> <span class="fu">make_date</span>(Tahun, Bulan))</span>
<span id="cb22-5"><a href=""></a><span class="fu">head</span>(dats)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 6 × 4
# Groups: Tahun [1]
Tahun Bulan Tavg RR
<dbl> <date> <dbl> <dbl>
1 1975 1975-01-01 26.7 349
2 1975 1975-02-01 26.7 369
3 1975 1975-03-01 26.7 369
4 1975 1975-04-01 27.1 190
5 1975 1975-05-01 27.3 207
6 1975 1975-06-01 27.2 55</code></pre>
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</div>
<div id="tabset-8-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb24"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb24-1"><a href=""></a>dats <span class="op">=</span> dats.groupby([</span>
<span id="cb24-2"><a href=""></a> dats[<span class="st">'Tanggal'</span>].dt.year.rename(<span class="st">'Year'</span>), </span>
<span id="cb24-3"><a href=""></a> dats[<span class="st">'Tanggal'</span>].dt.month.rename(<span class="st">'Month'</span>)</span>
<span id="cb24-4"><a href=""></a>]).agg({<span class="st">'Tavg'</span>: <span class="st">'mean'</span>, <span class="st">'RR'</span>: <span class="st">'sum'</span>})</span>
<span id="cb24-5"><a href=""></a>dats <span class="op">=</span> dats.reset_index()</span>
<span id="cb24-6"><a href=""></a>dats[<span class="st">'Bulan'</span>] <span class="op">=</span> pd.to_datetime(dats[[<span class="st">'Year'</span>, <span class="st">'Month'</span>]].assign(Day<span class="op">=</span><span class="dv">1</span>))</span>
<span id="cb24-7"><a href=""></a>dats.drop(columns<span class="op">=</span>[<span class="st">'Year'</span>, <span class="st">'Month'</span>], inplace<span class="op">=</span><span class="va">True</span>)</span>
<span id="cb24-8"><a href=""></a>dats.head()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code> Tavg RR Bulan
0 26.651613 349.0 1975-01-01
1 26.707143 369.0 1975-02-01
2 26.719355 369.0 1975-03-01
3 27.126667 190.0 1975-04-01
4 27.264516 207.0 1975-05-01</code></pre>
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</div>
</div>
</div>
</div>
</section>
<section id="pra-proses-pengolahan-data-iklim-3" class="slide level2">
<h2>Pra-Proses Pengolahan Data Iklim (3)</h2>
<ul>
<li>Oleh karena terdapat banyak sheet pada file Excel, maka perlu dilakukan iterasi/perulangan untuk menggabungkan semuanya menjadi satu dataframe.</li>
<li>Untuk R, fungsi <code>map_dfr()</code> dari package <code>purrr</code> dapat digunakan.</li>
<li>Untuk python, Anda dapat menggunakan perulangan <code>for</code> untuk menyatukan semua sheet dalam 1 <code>list</code>, kemudian <code>concat</code> dari package <code>pandas</code> untuk menggabungkan semua sheet tersebut ke dalam 1 dataframe sehingga tipe datanya menjadi <code>Dataframe</code>.</li>
</ul>
<div class="panel-tabset">
<ul id="tabset-9" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-9-1">R</a></li><li><a href="#tabset-9-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-9-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb26"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb26-1"><a href=""></a><span class="fu">library</span>(readxl)</span>
<span id="cb26-2"><a href=""></a><span class="fu">library</span>(dplyr)</span>
<span id="cb26-3"><a href=""></a></span>
<span id="cb26-4"><a href=""></a>sheets <span class="ot"><-</span> <span class="fu">excel_sheets</span>(<span class="st">"data/BMKG-Jawa.xlsx"</span>)</span>
<span id="cb26-5"><a href=""></a>sheets <span class="ot"><-</span> sheets[<span class="dv">2</span><span class="sc">:</span><span class="fu">length</span>(sheets)] <span class="co"># sheet 1 is metadata</span></span>
<span id="cb26-6"><a href=""></a>dats <span class="ot"><-</span> <span class="fu">map_dfr</span>(sheets, <span class="sc">~</span>{</span>
<span id="cb26-7"><a href=""></a> sheet_name <span class="ot"><-</span> .x</span>
<span id="cb26-8"><a href=""></a> sheet_data <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="st">"data/BMKG-Jawa.xlsx"</span>, <span class="at">sheet =</span> .x) <span class="sc">%>%</span></span>
<span id="cb26-9"><a href=""></a> <span class="co"># Pilih hanya kolom Tanggal, Tavg, dan RR</span></span>
<span id="cb26-10"><a href=""></a> <span class="fu">select</span>(Tanggal, lon, lat, Tavg, RR) <span class="sc">%>%</span></span>
<span id="cb26-11"><a href=""></a> <span class="co"># Menambahkan nama stasiun</span></span>
<span id="cb26-12"><a href=""></a> <span class="fu">mutate</span>(<span class="at">Lokasi =</span> sheet_name) <span class="sc">%>%</span></span>
<span id="cb26-13"><a href=""></a> <span class="co"># Mengubah kolom Tanggal dari tipe chr menjadi date</span></span>
<span id="cb26-14"><a href=""></a> <span class="fu">mutate</span>(<span class="at">Tanggal =</span> <span class="fu">as.Date</span>(Tanggal, <span class="at">format =</span> <span class="st">'%d-%m-%Y'</span>)) <span class="sc">%>%</span></span>
<span id="cb26-15"><a href=""></a> <span class="co"># Mengubah nilai 8888 dan 9999 menjadi NA</span></span>
<span id="cb26-16"><a href=""></a> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(.), <span class="cf">function</span>(x) <span class="fu">if_else</span>(x <span class="sc">==</span> <span class="dv">8888</span> <span class="sc">|</span> x <span class="sc">==</span> <span class="dv">9999</span>, <span class="cn">NA</span>, x)))</span>
<span id="cb26-17"><a href=""></a> </span>
<span id="cb26-18"><a href=""></a> <span class="fu">return</span>(sheet_data)</span>
<span id="cb26-19"><a href=""></a>})</span>
<span id="cb26-20"><a href=""></a></span>
<span id="cb26-21"><a href=""></a>dats</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 420,343 × 6
Tanggal lon lat Tavg RR Lokasi
<date> <dbl> <dbl> <dbl> <dbl> <chr>
1 1975-01-01 113. -5.85 25.9 6 StaMet_Sangkapura
2 1975-01-02 113. -5.85 27.9 6 StaMet_Sangkapura
3 1975-01-03 113. -5.85 27.6 0 StaMet_Sangkapura
4 1975-01-04 113. -5.85 27.4 26 StaMet_Sangkapura
5 1975-01-05 113. -5.85 28.5 0 StaMet_Sangkapura
6 1975-01-06 113. -5.85 26.8 6 StaMet_Sangkapura
7 1975-01-07 113. -5.85 26.9 6 StaMet_Sangkapura
8 1975-01-08 113. -5.85 26.2 11 StaMet_Sangkapura