The applications of the machine learning and programming approaches in cartography has been increasing in recent years. This paper presents a case study of the scripting techniques used for cartographic mapping using Generic Mapping Tools (GMT) and R language (raster and tmaps packages). The aim of the study is environmental mapping of Ghana. The materials include high-resolution raster grids: topography by the General Bathymetric Chart of the Oceans (GEBCO), climate and environmental datasets (TerraClimate) and Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) for geomorphometric analysis (slope, aspect, hillshade and elevations). The methodology includes code snippets commented and explained with details of scripts. It is argued that using consolebased scripting tools for mapping is effective for cartographic workflow due to the logical structure and repeatability of scripts. The results include eight new thematic maps of Ghana performed using scripting approach inGMTscripting toolset and R language for quantitative and qualitative environmental assessment. Maps show correlations between the landforms of Ghana and certain environmental variables (drought index and soil moisture) showing the effects of the topographic relief on the distribution of the continuous geographic fields. These varied in several geographically distinct regions of Ghana: Ashanti (Kumasi), Volta, Savannah, coastal and northern regions. Demonstrated maps show that scripting method works effectively on a wide range of geosciences including environmental, topographic and climate studies. In such a way, this paper contributes both to the regional studies of Ghana and development of cartographic techniques.

Ammonia solutions are considered to be effective solvents for carbon dioxide absorption. Despite numerous advantages of these solvents, their high volatility is a significant technical and economic problem. Therefore, in this work, silica particles were used as additives to improve CO ₂ absorption and inhibit NH ₃ desorption. SiO ₂ microparticles and colloidal SiO ₂ particles in the concentration range of 0-0.15 wt.% were used in this study. The most favorable mass transport for CO2 absorption was at the concentration of colloidal particles of 0.05 wt.%. Under these conditions, the enhancement in the number of moles of absorbed CO ₂ was above 30%. However, in solvents containing 0.01 wt.% SiO2 microparticles, the increase in CO ₂ absorption was about 20%. At the same time, the addition of SiO2 particles significantly reduced the escape of ammonia from the solution. The best improvement was obtained when colloidal SiO ₂ particles were added, and then NH ₃ escape was decreased by about 60%. This unfavorable phenomenon was also inhibited in ammonia solutions containing SiO2 microparticles at a concentration of 0.01 wt.%.