Summary
The main goal of the bachelor thesis is to test the possibilities of the usage of Google Location data for the spatiotemporal analysis of the human movement.
In the theoretical part the methods of recording the Google Location data are described together with the methods of the analysis of data from GPS receivers, social networks and questionnaires for the identification of the spatiotemporal patterns of movements of the people.
In the practical part the data collected by the student together with the data given by the mentor and by the students from the department of geoinformatics are being used for the spatiotemporal analysis of the movement of the people. The data are firstly converted to the format suitable for the further work in the statistical software and geographic information systems. Then the data suitable for the further analysis and visualizations are being chosen from the datasets. Afterwards, the data that were chosen undergo firstly the statistical analysis, so we can get to know their structure better and then they are visualized in the form of web applications showing the intensity of the all types of activity and the temporal distribution of the overall activity, paper maps showing the intensity of the specific types of activity at the specific regions and digital maps showing the line trajectories of movement in the city of Olomouc. The results of the analysis and visualizations are then being interpreted. By their interpretation the spatial and temporal patterns of the movement of the people describing their traffic behavior are described.