The project focuses on the application of selected geoinformation technologies and methods for spatial analysis, modelling and visualisation of real-world phenomena.
The project is divided into two main key activities that correspond to the dissertations being addressed:
KA 1 Advanced geovisualization methods and evaluation of cartographic products,
KA 2 Advanced spatial analysis and modelling of socioeconomic phenomena and landscape systems.
The aim of the project is the innovation of two courses of master studies of Geoinformatics and Cartography at Palacký University in Olomouc. The innovated topics are about processing European Union digital data by Data Mining, statistics and spatial analysis methods. The courses are KGI/DATAM Data Mining and KGI/POGEO Advanced Processing of Geodata.
During the last 60 years, cities have undergone rapid growth tightly related to unrestrained exploitation of space, which has brought numerous problems. Regulation of urban development is being attended by various institutions differently, on various levels of state and self-administration, usually by means of urban planning. Planning usually takes into account the current and previous state of a landscape to predict possible states in the future.
This project is focused on a combination of remote methods of data collection (remote sensing) and their subsequent spatial analysis and advanced geovisualization using web applications and 3D printing to provide better results for the management of the urban landscape.
The main goal of the project is to use the methods mentioned in the previous paragraph to identify, quantify and analyze particular changes of urban and suburban space that took place in the past three decades (1985–2015) in selected cities in Europe.
Five cities were chosen in Middle Eastern European Countries (former Communist Bloc) for the project.