AUC GEOGRAPHICA
AUC GEOGRAPHICA

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 51 No 2 (2016), 155–167

Tick-born encephalitis risk assessment based on satellite data

Jan Kolář, Markéta Potůčková, Eva Štefanová

DOI: https://doi.org/10.14712/23361980.2016.13
published online: 13. 12. 2016

abstract

Tick-borne encephalitis (TBE) belongs among the dangerous vector-borne diseases. The number of TBE incidences has been permanently increasing in various geographical regions, including the Czech Republic. The presence of ticks and related diseases is driven by host–pathogen systems. The systems are rather complex and susceptible to environmental conditions represented in the first place by land cover/land use categories. The presented study looks for a possible relation between the types of forest vegetation specified in the Landsat 5 satellite data and relative TBE morbidity. First, supervised classification of forest areas into five vegetation classes predefined by a botanist was tested. Due to the spectral similarity of the classes, the resulting classification accuracy of Landsat scenes covering the entire area of the Czech Republic was quite low. Thus, an unsupervised approach was applied using nine spectral classes. Relative TBE morbidity data collected over 10 years for 206 administrative units covering the entire country presented field data that were correlated with the spectral classes. The TBE risk index (IRE) of a given spectral class was introduced at each satellite scene. To create a map of the TBE risk for the entire country, all IRE values were accumulated and divided into six risk categories. The disadvantages of the proposed method, especially regarding the accuracy of the final product with a nationwide cover age, are discussed. In addition, the correlation between the relative TBE morbidity and other environmental parameters, such as annual precipitation, average temperature, and number of hunted game were calculated, but they did not reveal any significant relationship.

keywords: ticks; encephalitis; classification; Landsat

Creative Commons License
Tick-born encephalitis risk assessment based on satellite data 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

Download