--- title: "From topography to process: A Python toolkit for landscape evolution analysis - Ricarido Saturay" tags: PyConTW2025, 2025-organize, 2025-共筆 --- # From topography to process: A Python toolkit for landscape evolution analysis - Ricarido Saturay {%hackmd L_RLmFdeSD--CldirtUhCw %} <iframe src=https://app.sli.do/event/2mBBZcSmLYxdkoyM8gMwxn height=450 width=100%></iframe> :::success 本演講提供 AI 翻譯字幕及摘要,請點選這裡前往 >> [PyCon Taiwan AI Notebook](https://pycontw.connyaku.app/?room=IeW9LW8bnyjr19376twA) AI translation subtitles and summaries are available for this talk. Click here to access >> [PyCon Taiwan AI Notebook](https://pycontw.connyaku.app/?room=IeW9LW8bnyjr19376twA) ::: > Collaborative writing start from below > 從這裡開始共筆 ## mountains raised by uplift; lowered by erosion 以 https://download.gebco.net/ 作為範例圖稍微講了一下 ## supervied ML X: landscape (frontend) Y: processes (backend) backend: uplift, stream... etc ## 物理為基礎的landscape evolution model 一個來不及寫 也沒有要講的物理學式子 展示landscape怎麼模擬出來 https://landlab.csdms.io/ ## Synthetic traindata ## Demo1: use landlab to generate landscapes ## for each landscape gen by Y, compute feature X raster 資料不好分析 所以引入 networks x 來表示landscapes Demo3 generate features ## ML model development 嘗試sklearn的nested model ## Model deployyment scenario realworld landscape -> dem -> ... --- Below is the part that speaker updated the talk/tutorial after speech 講者於演講後有更新或勘誤投影片的部份