There are some indicators that characterise the phenomenon of global warming — carbon footprint, planet Earth, and certain environmental factors (e.g. temperature, humidity, CO2 concentration in the atmosphere). This paper focuses on modeling, simulation and visualization of the amplitude of carbon footprint and changes in temperature over a chosen restricted area. After the study of the phenomenon using the simulation and statistical data analysis the proposed Decision Support System (DSS) will point to several possible courses of action and their predicted effects. These alternatives will guide the user in reaching an optimal decision.