We are pleased to share that the AUC Geographica was awarded an Impact Factor of 0.6 in the 2022 Journal Citation Reports™ released by Clarivate in June 2023. AUC Geographica ranks (JCI) in Q3 in Geography.
AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.
AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.
Periodical twice yearly.
Release dates: June 30, December 31
All articles are licenced under Creative Commons Attribution 4.0 International licence (CC BY 4.0), have DOI and are indexed in CrossRef database.
AUC Geographica is covered by the following services: WOS, EBSCO, GeoBibline, SCOPUS, Ulrichsweb and Directory of Open Access Journals (DOAJ).
The journal has been covered in the SCOPUS database since 1975 – today
https://www.scopus.com/source/sourceInfo.uri?sourceId=27100&origin=recordpage
The journal has been selected for coverage in Clarivate Analytics products and services. Beginning with V. 52 (1) 2017, this publication will be indexed and abstracted in Emerging Sources Citation Index.
The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.
Journal metrics 2022
Web of Science
Impact factor (JCR®): 0.6
Journal Citation Indicator (JCI): 0.24
Rank (JCI): Q3 in Geography
Scopus
Cite Score: 1.1
Rank (ASJC): Q3 in Geography, Planning and Development; Q3 in General Earth and Planetary Sciences
The journal is archived in Portico.
AUC GEOGRAPHICA, Vol 49 No 2 (2014), 99–110
Review article: methods of fractal geometry used in the study of complex geomorphic networks
Michal Kusák
DOI: https://doi.org/10.14712/23361980.2014.19
published online: 20. 11. 2014
abstract
Fractal geometry methods allow one to quantitatively describe self-similar or self-affined landscape shapes and facilitate the complex/holistic study of natural objects in various scales. They also allow one to compare the values of analyses from different scales (Mandelbrot 1967; Burrough 1981). With respect to the hierarchical scale (Bendix 1994) and fractal self-similarity (Mandelbrot 1982; Stuwe 2007) of the fractal landscape shapes, suitable morphometric characteristics have to be used, and a suitable scale has to be selected, in order to evaluate them in a representative and objective manner. This review article defines and compares: 1) the basic terms in fractal geometry, i.e. fractal dimension, self-similar, self-affined and random fractals, hierarchical scale, fractal self-similarity and the physical limits of a system; 2) selected methods of determining the fractal dimension of complex geomorphic networks. From the fractal landscape shapes forming complex networks, emphasis is placed on drainage patterns and valley networks.
keywords: fractal; drainage patterns; valley network; fractal dimension
Review article: methods of fractal geometry used in the study of complex geomorphic networks is licensed under a Creative Commons Attribution 4.0 International License.
210 x 297 mm
periodicity: 2 x per year
print price: 200 czk
ISSN: 0300-5402
E-ISSN: 2336-1980
