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title: "From topography to process: A Python toolkit for landscape evolution analysis - Ricarido Saturay"
tags: PyConTW2025, 2025-organize, 2025-共筆
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# From topography to process: A Python toolkit for landscape evolution analysis - Ricarido Saturay
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<iframe src=https://app.sli.do/event/2mBBZcSmLYxdkoyM8gMwxn height=450 width=100%></iframe>
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> 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 -> ...
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