The 87Sr/86Sr isotope ratio has been widely used as an indicator of provenance and migration of aquatic animals, and has applications in other areas such as in environmental and forensic studies. However, the modeling of the spatial distribution in the Amazon basin is still incipient, preventing large-scale applications. In this study, we present a baseline of the 87Sr/86Sr isotope ratio in surface waters of the Amazon basin to infer the provenance and migration patterns of fish. We have compiled an extensive 87Sr/86Sr database of water samples from the Amazon basin, with data obtained from scientific publications and from field surveys. Next, we developed a geostatistical model, based on spatial interpolation (IDW), to estimate the 87Sr/86Sr ratio in unsampled locations, considering the influence of geology. Surface river waters in the Amazon show a high isotopic heterogeneity, associated with the region's geology (p < 0.005). Lower isotope ratios are related to waters draining more recent structures, such as the sub-basins of the Andean region, while higher isotope ratios are related to waters draining older crystalline terrains, such as the Guiana and Brazilian Shields. We show a linear relationship between the predicted and observed values (r2 = 0.81), demonstrating the high accuracy of the modeled data and its potential use in various other studies. The acquisition of additional 87Sr/86Sr data, along with the integration of new geospatial products, can improve estimates and accuracy in interpretations of strontium geospatial behavior in micro- and macroregions.