Period Table Based Spatio-temporal Association Rules Mining

Global Land Surface Dry/Wet Conditions Mining Based on Spatial‐Temporal Association Rules

“…He et al., 2020; D. Li et al., 2019; T. Wu et al., 2008). A great deal of information and knowledge is hidden in these spatial‐temporal data (Chai et al., 2011; Xu et al., 2017), such as geographic association patterns among severe dry/wet conditions. The hidden association patterns can reflect the law of dry/wet spatial‐temporal co‐occurrence, and can enhance people's understanding of dry/wet relationship.…”