Multivariate statistics for hydrogeology: moving forward from “the present is the key to the past”

Pengantar

Makalah ini kami tulis sebagai refleksi dari perjalanan riset selama kurang lebih 15 tahun. Beranjak dari penelitian geologi, mengarah ke hidrogeologi, hingga akhir mengaplikasikan beberapa metode statistik untuk mengidentifikasi perilaku air tanah di dalam akuifer. Abstrak ini telah dikirimkan ke ICAS 2016.

Berawal dari metode penggambaran secara grafis Piper pada tahun 1944, kemudian hadir grafik Schoeller dan Stiff, yang ketiganya merupakan visualisasi kualitas air menggunakan pendekatan statistik multivariabel. Hingga belakangan ini terminologi machine learning sangat mengemuka di berbagai bidang. Berawal di bidang biologi dan kedokteran saat ini mulai digunakan di bidang hidrogeologi. Salah satunya untuk mengenali karakter kualitas air tanah dan memisahkannya menjadi beberapa kelompok yang sejenis.

Perkembangan inilah yang coba kami tuliskan dalam makalah ini, semoga bermanfaat. Saat ini kami masih menyusun full paper-nya.

Continue reading “Multivariate statistics for hydrogeology: moving forward from “the present is the key to the past””

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Blogpost arrangement

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