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The GIS center at the Department of Geography is well equipped to provide training on GIS software, remote sensing, modeling of spatial phenomena and processes and their 3D and 2D visualization. The application of GIS in geography and other sciences, as well as in spatial planning, has practically become an indispensable part of contemporary culture and everyday life. Highly qualified teaching staff at the Department of Geography enables the education of students on numerous possibilities of applying GIS technology in various aspects of modeling spatial phenomena and processes, as well as in resolving growing conflicts in space. This process includes identification of criteria, data collection and creation of GIS spatial database for selected criteria, their further evaluation, formation of decision matrices, analysis and validation of aggregation results, and finally GIS visualization, with proposals for further activities.
Our students use GIS Center to discover and improve methods of detection, analysis, monitoring, manipulation and visualization of spatial data. Based on numerous input criteria, they create precise digital maps which enable synchronization of various branches of science and professions, as well as optimization and acceleration of the work process.
The GIS Center also provides GIS training services – courses and other contractual services, including user needs analysis, customized GIS programming, customized spatial content mapping, etc.
Below are listed some of many possibilities of GIS application which can be realized in the GIS Center at the Department of Geography:
– Mapping, visual interpretation and geoprocessing of spatial data;
– Creation of extensive databases, their processing and geovisualization;
– 3D visualization and optimization of spatial content;
– Regional planning and monitoring of spatial plans at all levels;
– Urban planning, analysis of urban growth and its direction of expansion and finding suitable sites for further urban development;
– Management, monitoring and analysis of natural resources;
– Selection of the most suitable location for construction of various infrastructure facilities;
– Planning and selection of the best transport routes based on different criteria;
– Environmental impact analysis;
– Analysis of hazards, natural disasters and conflicts in space and mitigation of their consequences;
– Zoning of landslide hazards and ranking different parts of an area according to the degrees of actual or potential hazard from landslides;
– Land mapping – identification and classification of land cover and definition of its boundaries;
– Mapping of geological characteristics, analysis of soil and layers, assessment of seismic information, creation of 3D representations of geographical features;
– Tourism planning with techniques and technologies of wide application for achieving sustainable tourism development;
– Monitoring and planning of energy and water supply systems;
– Mapping of forest fire hazard zones;
– Creating navigation maps;
– Detection and monitoring of deforestation;
– Reduction of desertification and land degradation due to climate change or human activities by providing an information of degraded land;
– Data processing for various types of utility services such as electricity, telecommunications and natural gas – mapping, inventory, monitoring of compliance with regulations, distribution analysis and load analysis;
– Visualization and planning of public infrastructure facilities, emergency and disaster planning and response.
– Collection of data on spatial temporal correlation between environmental pollution and the occurrence and spread of diseases and identifying exposures to environmental hazards
– Precise selection of the most optimal route of gas and oil pipelines, which contributes to minimizing economic losses and negative impacts on the environment;
– Suitability of sites for construction of waste treatment plants by integrating different data sets;
– Locating underground pipes and managing fault processes in the water supply network;
– Formation of digital cadastral databases;
– Mapping and preservation of floristic and faunal fund;
– Mapping snow cover and forecasting runoff, monitoring seasonal and annual changes in snow cover in existing climatic conditions, simulation of runoff, mapping regional distribution of water equivalent and documenting the process of recession of snow cover during melting in relation to geological characteristics of an area;
– Managing, analyzing and visualizing wildlife data to target areas where management practices are needed and to monitor their effectiveness in protected areas and many other possibilities.