Scatter Plot

Scatter Plot

Versi 2025-10-11. Sekarang berfungsi di Igor 9.

Scatter Plot adalah perangkat berguna berbasis Igor Pro yang dirancang untuk meningkatkan efisiensi visualisasi data dalam ilmu atmosfer. Banyak perangkat lunak visualisasi data umum yang sudah ada tidak memenuhi kebutuhan penelitian spesifik di bidang ini, sehingga memotivasi pengembangan Scatter Plot. Program ini menggabungkan algoritma Deming dan York untuk regresi linier yang memperhitungkan ketidakpastian pada kedua variabel X dan Y, sehingga lebih cocok untuk aplikasi atmosfer. Scatter Plot dilengkapi dengan berbagai fitur untuk analisis data dan pembuatan grafik, termasuk pembuatan plot batch, penyembunyian data melalui antarmuka yang ramah pengguna, pengkodean warna sepanjang sumbu Z, dan kemampuan menyaring serta mengelompokkan data dalam berbagai skala waktu—seperti tahun, musim, bulan, jam, dan hari dalam seminggu.

Algoritma dan Fitur

Program ini menggunakan algoritma Deming dan York yang memperhitungkan ketidakpastian pada sumbu X dan Y, memberikan hasil regresi yang lebih objektif untuk aplikasi atmosfer. Fitur-fitur seperti pembuatan plot batch, penyembunyian data interaktif, pengkodean warna berdasarkan sumbu Z, serta pemfilteran dan pengelompokan data berdasarkan waktu (tahun, musim, bulan, jam, hari) tersedia untuk memudahkan analisis.

Referensi dan Sitasi

Untuk detail lebih lanjut mengenai evaluasi dan penerapan Scatter Plot, silakan merujuk pada:

Wu, C. dan Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi:10.5194/amt-11-1233-2018, 2018.

Harap kutip makalah ini jika Scatter Plot digunakan dalam publikasi Anda.

Adopsi dalam Publikasi Penelitian

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