The spatial distribution of the emission of short-lived climate pollutants (SLCP) is an important issue for the modelling of the air pollution and the assessment of the human exposure. The spatial emission mapping provides an information for policy makers in the decision process for the implementation of environmental policies and measures. The aim of this study is a development of the spatial emission mapping of SLCP using GIS approach based on the last national Informative Inventory Report of the Republic of Moldova for the period 1990 – 2019 years (2021 data (ceip.at) and created national database by the development of Nomenclature For Reporting (NFR) according to EMEP/EEA air pollutant emission inventory guidebook 2019 (https://www.eea.europa.eu/publications/emep-eea-guidebook-2019). The emission mapping supports a link between emission data and air quality models that need emissions information at a proper spatial, temporal, and sectoral resolution. It is also important to improve the linking of the air pollutant emission inventories in line with the UNECE Convention on Long-range Transboundary Air Pollution (CLRTAP) and the EU National Emission Ceilings Directive (NECD). Reported spatial emissions data are an input for models used to assess atmospheric concentrations and deposition, as the spatial location of emissions determines to a great extent their atmospheric dispersion patterns and impact area. The results of model assessments inform national and international policies used to improve the environment and human health (https://www.eea.europa.eu/publications/emep-eea-guidebook-2019/part-a-general-guidance-chapters/7spatial-mapping-of-emissions/view). EMEP grid with the resolution 0,10 – 0,10 of longitude-latitude in the WGS84 geographic coordinate system was used for the mapping SLCP. The respective maps were created for all principal emission sectors: energetic, transport, industry, agriculture, waste. All territory was divided into cells according to EMEP grid and proxy spatial datasets were created for diffuse pollution sources. QGIS free software was used for the data processing and creation of spatial models of emission for every pollutant. Different maps were created for the visualization of the obtained results. The principal point sources are also characterized on the respective maps. This study is a first result of the spatial modelling of SLCP pollution sources which can be used for the air modelling and the evaluation of hot spot in the Republic of Moldova for the decision-making process in the environmental sector. Further spatial analysis is required for the improvement of model precision and the reporting of the national air pollutant emission inventory.