Rice is a strategic food commodity, so it is important to know how far changes in the price of a rice market affect other rice markets in the ASEAN region. The purpose of this paper is to analyze the spatial effect on rice trade in ASEAN countries in 2005-2018. The determinants of rice trade that are analyzed further include data on rice exports, rice production, exchange rates, world rice prices, population, Gross Domestic Product, Trade Openness (TO), LCSI, and Inflation. This study is limited to the analysis of the spatial effect on rice commodities in ASEAN countries. The method used to see the spatial effect of trade on rice and oil commodities in the intra-ASEAN region was panel data regression analysis and spatial panel data regression. Data processing was assisted by use of R Studio application. Result of the study shows that based on SAR panel model, it can be seen that the variables ln ER, ln PROD, ln GDP, ln TO, and AGLND have a significant effect on the export value of 10 ASEAN countries. The R-Square value in the SAR Panel equation model is 0.6208. This means that all independent variables in the model are able to explain the export value of 62.08% and the rest is explained by other variables outside the model.