User oriented visualization of very large spatial data

Today, with the development of location service providers and equipment providing location services, location data can be obtained from many different devices and this data can be used in various applications. The data collected are affected by both geographic and human factors, and sometimes they may show homogeneous and sometimes heterogeneous distributions. Displaying so much data in a way that users can perceive requires special methods. This thesis to be written aims at expressing many spatial data to the users in the most efficient way. As a result of this study, it is aimed to visualize spatial data consisting of many (e.g. millions) points globally or regionally and to do this in real time.