Senior Data Analyst based in Taiwan.
我探索 GIS 與開放資料，從分散、格式各異的資料中辨識可驗證的訊號與脈絡； 透過資料處理、空間分析與互動視覺化，讓公共資訊能被看見、理解與探索。
當問題需要時，我也會嘗試資料與空間模型，驗證假設並擴展資料可以回答的問題。
我也將 AI 納入研究與開發流程，協助建立假設、串聯地理脈絡、交叉比對資料訊號， 並設計可被驗證的空間與情報分析。
I explore GIS and open data to surface verifiable signals and context. Through data pipelines, spatial analysis, and interactive visualization, I make public information explorable.
When useful, I prototype data and spatial models to test hypotheses and extend what the data can answer.
I also use AI throughout research and development to form hypotheses, connect geographic context, cross-check signals, and design verifiable spatial and intelligence analysis.
GIS · Open Data · Data Pipelines · Spatial Analysis · AI-assisted Intelligence · Data Visualization
從資料處理與空間模型，到可驗證的情報分析與互動視覺化。
From data pipelines and spatial models to verifiable intelligence analysis and interactive visualization.
在同一張地圖探索交通、道路、船舶與地理底圖。 / Explore mobility, roads, vessels, and base geography together.
左：以流域、河川、灌排與水利設施脈絡檢視空間資料。右：Monitor BETA 將地圖脈絡與可選取的資訊來源並置，供持續觀察與探索。
在同一張地圖上，可以看見公車如何穿過城市、船舶駛向哪裡、航班如何飛越台灣；也能把農田、水庫、實價登錄、基礎建設、衛星雲圖與警報放在同一個視野中。
這不是把圖層堆在一起而已。Mini Taiwan Pulse 持續整理與整合不同來源、不同更新頻率的資料，將官方共機活動區（非精確航跡）、CWA 氣象衛星影像與事件資料放進可回放的時間脈絡，拼出可再查證的情勢線索，幫助理解台灣此刻正在發生什麼事。Monitor 體驗仍在持續開發與驗證中。
On one map, see buses moving through cities, vessels crossing surrounding waters, and flights passing over Taiwan—then layer in farmland, reservoirs, property transactions, infrastructure, weather-satellite imagery, and alerts.
Mini Taiwan Pulse continuously brings together heterogeneous sources with different update cycles. It places official PLA activity areas—not precise flight tracks—CWA weather-satellite imagery, and event data in a replayable temporal context to form traceable situation leads for understanding what is happening across Taiwan. The Monitor experience is still being developed and validated.
把日期與時間往前推進，就能在地圖上看見列車如何沿著台灣鐵路網前行；真實時刻表、路線與時間篩選，讓靜態資料變成可重播的運行畫面。
Move the date and clock forward to follow timetable-driven train movements across Taiwan's rail network, turning a static schedule into an explorable replay.
從全台 22 個縣市的比較出發，再深入單一地方，理解一個開放資料主題如何在不同地區呈現差異。
Compare an open-data topic across Taiwan's 22 cities and counties, then drill into one place to understand the local variation behind the numbers.
持續收集、整理與保存 TDX、AIS、CWA、OpenSky 等不同格式的資料，為回放、空間分析與互動視覺化建立可追溯的資料基礎。
Continuously collect, normalize, and preserve data from sources such as TDX, AIS, CWA, and OpenSky, creating a traceable foundation for replay, spatial analysis, and interactive visualization.
將 138 座機場、41,766 筆真實航班軌跡畫成會流動的航網，讓空中的移動模式變得可見。
Turn 41,766 real flight trajectories across 138 airports into a flowing flight network that makes patterns in the air visible.
在瀏覽器中即時計算約 67,000 筆 TLE 軌道資料，將衛星追蹤與太陽系模擬轉成可探索的 3D 空間畫面。
Calculate roughly 67,000 TLEs in the browser and turn satellite tracking and solar-system simulation into an explorable 3D spatial scene.
每個專案都讓 AI-assisted 與 agentic workflows 參與研究、分析、設計與開發；我負責界定問題、選擇資料來源、驗證結果與產品判斷。也在 dev-orchestrator 探索多專案開發環境與 Claude MCP 的協作方式。
Every project uses AI-assisted and agentic workflows across research, analysis, design, and development. I remain responsible for problem framing, source selection, result validation, and product decisions, and explore multi-project development workflows with Claude MCP in dev-orchestrator.
Reach me — ianlk11234s@gmail.com