ArcGIS Pro: Spatial Interpolation IDW (Inverse Distance Weighting)
5:29
YouTubeTessellations Incorporated
ArcGIS Pro: Spatial Interpolation IDW (Inverse Distance Weighting)
A short video explaining different aspects of IDW, one of the spatial interpolation methods. Courtesy of Tessellations Inc., visit us at http://tessellations...
10K viewsAug 11, 2020
Inverse Distance Weighting Explained
🗺️ GIS 空間內插（Spatial Interpolation）：從測站點，變成一整張溫度地圖 在 GIS 中，許多我們習以為常的地圖，其實都不是「量測」出來的，而是「算」出來的。 氣溫、雨量、空氣品質，這些現象只在少數測站被實際觀測，卻必須被轉譯為連續的空間分布，這正是空間內插的核心任務。 以常見的 IDW（Inverse Distance Weighting，反距離加權） 為例，其邏輯非常直觀： 距離越近的測站，影響力越大；距離越遠，權重越低。 測站以 3D 溫度柱呈現數值高低，顏色由冷到熱； 當內插計算進行時，掃描線會連結網格與周圍測站，線條粗細即代表權重大小，讓距離如何影響結果一目了然。 最後，所有計算即時渲染為平滑的熱力圖，離散點正式轉化為連續曲面。 更重要的是，當你調整 Power 參數時，地圖會從平滑過渡逐漸出現典型的「牛眼效應（Bull’s eye）」，清楚展示參數選擇如何改變空間解讀。 #GIS #SpatialInterpolation #IDW #空間分析 #資料視覺化 | GeoLab空間資訊實驗室
0:30
🗺️ GIS 空間內插（Spatial Interpolation）：從測站點，變成一整張溫度地圖 在 GIS 中，許多我們習以為常的地圖，其實都不是「量測」出來的，而是「算」出來的。 氣溫、雨量、空氣品質，這些現象只在少數測站被實際觀測，卻必須被轉譯為連續的空間分布，這正是空間內插的核心任務。 以常見的 IDW（Inverse Distance Weighting，反距離加權） 為例，其邏輯非常直觀： 距離越近的測站，影響力越大；距離越遠，權重越低。 測站以 3D 溫度柱呈現數值高低，顏色由冷到熱； 當內插計算進行時，掃描線會連結網格與周圍測站，線條粗細即代表權重大小，讓距離如何影響結果一目了然。 最後，所有計算即時渲染為平滑的熱力圖，離散點正式轉化為連續曲面。 更重要的是，當你調整 Power 參數時，地圖會從平滑過渡逐漸出現典型的「牛眼效應（Bull’s eye）」，清楚展示參數選擇如何改變空間解讀。 #GIS #SpatialInterpolation #IDW #空間分析 #資料視覺化 | GeoLab空間資訊實驗室
FacebookGeoLab空間資訊實驗室
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Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
0:44
Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
Instagramoreshihon.atsushi.iida
593.5K views1 month ago
Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
0:36
Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
Instagramoreshihon.atsushi.iida
1.7K views1 month ago
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