Analysis, modelling, and visualization of spatial phenomena by geoinformation technologies

Doba řešení: 2022 - 2023 | Zdroj financování: IGA - Internal project of Palacký University (IGA_PrF_2022_027)

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.

Data mining and analyzing of urban structures as contribution to European Union studies

Doba řešení: 2020 - 2023 | Zdroj financování: ERASMUS+ Jean Monnet Module, Project No. 620791-EPP-1-2020-1-CZ-EPPJMO-MODULE | Web projektu

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.

Advanced monitoring, spatial analysis and visualization of urban landscape

Doba řešení: 2016 - 2017 | Zdroj financování: Internal grant agency, Palacký University | Web projektu


During the last 60 years, cities have undergone a 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 current and previous state of a landscape to predict possible state 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 urban landscape.

The main goal of the project is to use methods mentioned in 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 the Europe.

Five cities were chosen in Middle Eastern European Countries (former Communist Bloc) for the project.

Cities are comparable in size, character, and spatial structure. Selection of cities Corresponds with earlier research activities, in which selected datasets and satellite imagery were managed. Chosen cities were following: Ostrava (CZ), Leipzig (DE), Košice (SK), Katowice (PL) a Székesfehérvár (HU).


The project is divided into three key activities that follow each other, thus forming a comprehensive framework of research focused on the analysis of the urban landscape. Distribution of the main KA follows the standard procedure of geo-data handling (data collection, analysis, visualization).

KA1 - Data Collection And Advanced Data Management

This activity will be focused primarily on a collection and interpretation of primary data acquired via aerial photography (in the visible and thermal spectrum) and on an aggregation of various data sources into a single database, enabling simpler and more efficient analytical activity. Data management will be based on secured remote access to the database, and replication and synchronization of changes in the master database.

KA 2 - Spatial Analysis And Modeling Of Urban Landscape

This key activity will be divided into several sub-activities that are based on previous research activities released by involved project members. The benefit of this project will be the connection of these activities into a comprehensive advanced spatial analyses, which WILL allow to analyze, quantify and partly predict the development of urban landscape in selected cities.

Partial key activities:

KA 2.1 Land Suitability For Development

KA 2.2 Walkability Index

KA 2.3 Gravity models

KA 2.4 City centers

KA 2.5 CityMetrics

KA 2.6 Transport Character And Its Impact On Sustainable Development

KA 3 Advanced Geovisualization

This key activity will be concentrated into two main areas with two main outputs: 1) flexible interactive web-based application used to compare the different characteristics of the urban landscape and 2) 3D models of analyses results created by 3D Print

Partial key activities:

KA 3.1 Advanced Geovisualisation On The Web

KA 3.2 3D Visualization Using Multi-Material And Full-Color 3D Printing


The main benefit of the project will be the integration of advanced methods of geo-data collection, analysis and visualization that will bring new knowledge about the structure, nature and evolution of the studied cities, and about their development potential.

There will be two main results of the project: scientific results and applied results. Practical results will be represented by databases, Web application, scripts, toolboxes and thematic maps. All results will be presented in conference papers, peer-reviewed articles as well as specialized maps.