For the territory of the Republic of Moldova, where agriculture has a significant share in the national economy, the study and analysis of unfavorable phenomena is very important. Agricultural crops are directly dependent on the climatic conditions, which determine the progress of the productive process. Among the limiting factors are the dangerous frosts that occur outside their characteristic season, causing damage for agricultural crops. It should be noted that for the territory under study, until now, ample information on the distribution in time and space of the intensity of dangerous spring frosts is missing. The climate guidelines contain the data that reflect the time of manifestation and the intensity of frosts, but without specifying the spatio-temporal distribution of this phenomenon under the influence of local climatic factors, which, in turn, are determined by the features of the relief. These arouse interest, because knowing the intensity of dangerous frosts, (distribution in time and space) that manifests itself during the period of active vegetation of agricultural crops can compromise the fruit even in proportion to 80%. The purpose of this study is to evaluate in space and time the intensity of dangerous frosts on the territory of the Republic of Moldova using the possibilities offered by the GIS software. The regression equations obtained show us the relationship between the intensity of dangerous frosts and the geographical latitude, the geographical longitude or the absolute altitude of the place. The use of GIS software offers the possibility for spatial analysis (over the entire territory of the Republic of Moldova) of the intensity of dangerous frosts in the spring and the evaluation of local geographical factors. In conclusion, it can be mentioned that on the territory of the Republic of Moldova, the intensity of dangerous frosts in the spring, may vary within -0.1°C and -4°C, and this manifestation takes place during the period of active vegetation, which leads to the injuries of agricultural crops and the reduction of productivity. The use of GIS in analysis allows such analysis to be carried out for territories of different sizes, different forms of relief, etc.