“…Many methodologies have been applied to describe the spatial and temporal patterns of pests. Among them, the most commonly used approaches are tracking the evolution of infestation distribution over time (Bayles et al, 2017;Cinnirella et al, 2020;Lausch et al, 2013;Ndjomatchoua et al, 2016;Reay-Jones et al, 2010), quantifying spatial autocorrelation (Blackshaw and Hicks, 2013;Bone et al, 2013;Cinnirella et al, 2020;Cocu et al, 2005;Smith et al, 2004;Ward et al, 2019), and employing geostatistical techniques (Pereira et al, 2019;Ribeiro et al, 2020;Rogers et al, 2015;Wright et al, 2002). Although above mentioned methodologies of spatial analysis have been applied to various types of insect pests and crops (Blackshaw and Hicks, 2013;Bone et al, 2013;Cinnirella et al, 2020;Cocu et al, 2005;Diaz et al, 2012;Lausch et al, 2013;Ndjomatchoua et al, 2016;Pereira et al, 2019;Reay-Jones et al, 2010;Ribeiro et al, 2020;Rogers et al, 2015;Smith et al, 2004;Ward et al, 2019;Wright et al, 2002), no studies have investigated the spatial and temporal patterns of RPH population using wide range data.…”