Effective pest management is crucial for ensuring the long-term sustainability of the Malaysian oil palm industry. A significant hurdle in this pursuit is the challenge of effectively managing pests and diseases, which can devastate crop yields. Traditional pest modelling approaches often fall short by neglecting robust spatio-temporal analysis, limiting our understanding of how these problems evolve across space and time within plantations, particularly at a plot level. This study addresses this gap by employing a Space–Time Cube to analyse the spatio-temporal distribution of bagworm pests in an oil palm plantation located in Perak, Malaysia, for the year 2021–2022. The Space–Time Cube offers three dimensions to visualize spatio-temporal data. By facilitating the identification of spatio-temporal patterns in pest outbreaks, the Space–Time Cube can be used to understand the dynamic interaction of data across time and support the implementation of targeted control measures. This ultimately contributes to the advancement of pest management by modelling the spatio-temporal dynamics of pests within the plantation, leading to more sustainable action and environmentally friendly practices.