National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
The influence of socio-geographical exposure and other factors on the extensification processes of land use
Janoušek, Zbyněk ; Bičík, Ivan (advisor) ; Feranec, Ján (referee) ; Novotná, Marie (referee)
The main topic of the dissertation thesis is the evaluation of the influence of socio- geographical exposure and other factors (natural: altitude, inclination of slopes, productivity of land) on the extensification processes of the land use in Czechia in the period of more than 160 years, 1845-2010. Emphasis is also placed on the associated losses of agricultural and arable land, given that afforestation and increase of grassland took place essentially at the expense of that land. The main data source is the "Database of long-term land use changes in Czechia (1845-2010)", LUCC Czechia, based on cadastral records. It is a detailed monitoring which covers almost 9,000 so-called stable territorial units. Both the extensification processes and the overall intensity of land use (using the coefficient of ecological importance) are evaluated. Given that most of the Czechia's territory is still used as agricultural land, the thesis also includes an overview of the evolution of the selected agricultural intensity indicators. Attention is likewise paid to the wider context of land use changes at the European level. The essential part of the thesis is to build models of socio-geographical exposure of Czechia, which are comparable with the data on land use in the time horizons of 1845, 1896, 1948, 1990 and...
Ontologies as an instrument for a design of data models of selected themes of the INSPIRE directive
Čerba, Otakar ; Čepek, Aleš (advisor) ; Rapant, Petr (referee) ; Feranec, Ján (referee)
It turns out that for most users of spatial data presents a harmonization of data (as an elimination of heterogeneity) as the greatest problem - a transformation their own data sets to the data specifications produced by the INSPIRE Directive so as not to limit current processes processing, management, sharing and presentation of data. Therefore, they need the widest possible description of spatial data, because it will only eliminate the problems of heterogeneity. The author of this Ph.D. thesis dealt with the opportunities which ontologies bring to the process of data modelling. The aim was to describe using ontologies the selected part (classification systems) of data models of spatial data themes "Land Cover" and "Land Use" which are defined in Annexes II and III of the INSPIRE directive. Developed ontologies serve as a source of information on classification systems. Their evaluation (so-called reasoning) will provide new information (relationships between taxonomy elements) that play an important role in the transformation process of classification systems as part of the harmonization of spatial data. Creating of ontologies consisted of three main steps - selection of appropriate methodology, development of a basic ontology structure and iterative process of populating and specification of...

Interested in being notified about new results for this query?
Subscribe to the RSS feed.