Capturing Dominant Spatial Patterns with Two-Dimensional Locations Using SpatPCA
In this demonstration, we showcase how to utilize SpatPCA for analyzing two-dimensional data to capture the most dominant spatial pattern.
Apply SpatPCA to Capture the Dominant Spatial Pattern with One-Dimensional Locations
In this tutorial, we explore the application of SpatPCA to capture the most dominant spatial patterns in one-dimensional data, highlighting its performance u...
個人資料去識別化
在這提倡開放資料(open data)的時代，各機構從資料收集、維護到能夠公開分享，如何妥善的保護資料中的個人隱私是個廣泛討論的議題。例如，使用者希望政府資料能夠增加資料的透明程度以及增加新的資訊而增加資料的可用性，進而可以提供政府更有效的決策。為了確保隱私，避免暴露其身份，從圖1我們可以清楚了解資料收集個人資訊...
Challenges in EOF Patterns with a Single Variable
In this post, we delve into potential challenges associated with Empirical Orthogonal Function (EOF) patterns.
Exploring Dominant Spatial Patterns with a Single Variable
In this post, we delve into the formal exploration of dominant spatial patterns, particularly in the context of climate research.