Mapping language distribution is challenging due to the uneven availability of data and the continuous nature of linguistic landscapes. This study explores the use of kriging, a geostatistical interpolation method, to enhance language mapping by estimating linguistic presence in unobserved areas. Kriging considers spatial dependence, making it well-suited for modeling gradual language transitions rather than relying solely on discrete data points. This research explores how Kriging can improve the accuracy and usability of dialect maps, with a focus on the Atlas of Languages of Iran (ALI). Specifically, does Kriging have the ability to accurately estimate linguistic data in the study area? If so, how can its predictive model be evaluated? The method helps create smoother and more accurate representations of language areas, reducing gaps in data coverage and improving cartographic clarity. This study examines the potential of kriging in language mapping and offers insights into its application for producing more precise and informative linguistic maps.