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GIScience in practice: Case studies from human geography

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Hvenær hefst þessi viðburður: 
28. maí 2015 - 15:00
Staðsetning viðburðar: 
Nánari staðsetning: 
N-132
Háskóli Íslands

Tveir gestir frá Palacky-háskóla í Olomouc í Tékklandi, sem vinna að rannsóknum á sviði landfræðilegra upplýsingakerfa, munu halda stutt erindi um eigin verkefni. // Two visiting researchers from the Palacky University in Olomouc, Czech Republic, working in the field of Geographical Information Science, will give short presentations of their work.

Using geovisual analytics in Google Earth to understand disease distribution in space and time (Lukas Marek)
Visual analytics aims to connect the processing power of information technologies and the user’s ability of logical thinking and reasoning through the complex visual interaction. Moreover, the most of the data contain the spatial component. Therefore, the need for geovisual tools and methods arises. Either one can develop own system but the dissemination of findings and its usability might be problematic or the widespread and well-known platform can be utilized. Google Earth software can be easily utilized as a tool for geovisual analytics that helps to understand the spatio-temporal patterns of the disease distribution in space and time. It also provides the platform allowing communicate the results to wider audience. The usage of the system will be demonstrated on the case study dealing with the distribution of infectious disease (gastroenteritis).

Membership of Czech municipalities to rural and urban areas – A fuzzy based approach (Vit Paszto)
Due to the suburbanization, it is becoming more difficult to properly define rural and urban areas in the Czechia. This delimitation problem has been intensively studied in Europe, including the Czechia, for decades, but only so-called “crisp” rules have been set for this purpose. This is no longer satisfactory because of substantial population movements. This presentation gives a brief introduction of a rural areas classification methodology and fuzzy sets principles. In this presentation, results of the fuzzy set theory application for the delimitation of rural and urban areas are given. Subsequent visualizations and comparisons are also presented. Fuzzy approach, applied on socio-economic data to show the transitional character of municipalities, will be presented as a main result in order to demonstrate advantages over Boolean logic procedures in the delimitation of rural and urban areas.

Biographical notes:

Lukas Marek is a researcher and Ph.D. candidate of Geoinformatics & Cartography at the Department of Geoinformatics, Palacky University in Olomouc, Czech Republic. His scientific interests cover mainly areas of spatial analyses and modelling, geostatistics, spatial statistics and application of statistical methods on spatial data. His current research is focused mainly on analysis of the relation of geographical factors and public health and geovisualization.

Vit Paszto is a PhD student at the Department of Geoinformatics, Faculty of Science, Palacký University in Olomouc (Czech Republic). His scientific interests cover issues such as modelling in GIS, spatial information - its evaluation and visualization using various "geocomputational" methods - fuzzy sets and logic, fractal dimension measurements, information entropy calculations, and shape metrics. His latest research includes shape metrics application on urban areas and in cartographic generalization, geodata scale restriction using information entropy and rural/urban areas delimitation using fuzzy logic.


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