Pregled bibliografske jedinice broj: 1098293
Structural Characteristics of Patches in the Central Lika Landscape – Application of Spatial and Regression Analysis
Structural Characteristics of Patches in the Central Lika Landscape – Application of Spatial and Regression Analysis // 16th International Conference - Geoinformation and Cartography. Program and Abstracts / Lapaine, Miljenko (ur.).
Zagreb: Croatian Cartographic Society ; University of Zagreb, Faculty of Geodesy, 2020. str. 29-29 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1098293 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Structural Characteristics of Patches in the Central Lika Landscape –
Application of Spatial and Regression Analysis
Autori
Hamzić, Marta ; Fuerst-Bjeliš, Borna ; Pahernik, Mladen
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
16th International Conference - Geoinformation and Cartography. Program and Abstracts
/ Lapaine, Miljenko - Zagreb : Croatian Cartographic Society ; University of Zagreb, Faculty of Geodesy, 2020, 29-29
Skup
16th International Conference on Geoinformation and Cartography
Mjesto i datum
Zagreb, Hrvatska; Vodnjan, Hrvatska; Plitvička jezera, Hrvatska, 24.09.2020. - 27.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Land cover/land use, structural characteristics, landscape patches, GIS, regression analysis, spatial analysis, Central Lika
Sažetak
This paper analyses the structural characteristics (shape, position and condition) of landscape patches in Central Lika according to landscape types and for the landscape of Central Lika as a whole. A set of indicators for the landscape structure was used along with GIS technology. Interrelation of the structural characteristics of landscape patches were determined using regression analysis. When determining the landscape types of Central Lika, a method based on land cover/land use was applied. For this purpose, data from the CORINE database for the year 2012 were used. At the level of the landscape type in Central Lika and the landscape of Central Lika as a whole, a set of indicators for the landscape structure were used, based on a variety of spatial analysis methods: Mean Shape Index – for the landscape patch shapes ; Core Area Index – for the condition of the landscape patches, and Average Nearest Neighbour – for the position of the landscape patches. The most important result of this paper was to confirm the correlation between the shape and condition, and between the shape and position of the landscape patches of Central Lika, while no correlation between the condition and position of the landscape patches of Central Lika was found.
Izvorni jezik
Engleski
Znanstvena područja
Geografija
POVEZANOST RADA
Ustanove:
Ericsson Nikola Tesla d.d.,
Prirodoslovno-matematički fakultet, Zagreb