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Akadémiai Kiadó, founded in 1828 by the Hungarian Academy of Sciences, is Hungary’s oldest continuously operating publishing house. Our mission is to promote Hungarian and international science, that is, to publish the new discoveries in various areas of science, to effectively support information exchange amongst scientists on a global level, and to make scientific results a public property available for all who seek valuable and reliable knowledge.
Our traditions oblige us. Our aim is to become the most significant scientific publishing house of Central and Eastern-Europe whilst maintaining excellent quality, further improving our important scientific and business partnerships, creating scientific, economic and social values and keeping ahead the revolution in communication technology that is reshaping the publishing industry.
Akadémiai Kiadó publishes more than 50 peer-reviewed international journals which represent a score of scientific fields. Most of our journals are indexed in Scopus, and many of them are indexed in the Science Citation Index or in the most important field-specific databases, i.e. Medline/Pubmed, Chemical Abstracts, Biological Abstracts, BIOSIS Previews, etc. The overall citation of our journals has increased annually since 2005.
Co-operating with market-leading subcontractors from all over the world we offer an advanced and excellent on-line service for our authors and readers worldwide.
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Displaying 16 - 17 of 17partial order approach for summarizing landscape quality
We propose a simple mathematical framework to define consistently the environmental quality of a given landscape based on the relative abundances of the constituting land cover classes. Unlike traditional diversity measures, the new method does not evaluate the simple dispersion of the relative abundances of land cover classes, but assigns a weight to each land cover class according to the rank along a gradient of environmental quality.
Echelon analysis of the relationship between population and land cover pattern based on remote sensing data
With continuing proliferation of human influences on landscapes, there is mounting incentive to undertake quantification of relationships between spatial patterns of human populations and vegetation. In considering such quantification, it is apparent that investigations must be conducted at different scales and in a comparative manner across regions. At the broader scales it becomes necessary to utilize remote sensing of vegetation for comparative studies against map referenced census data. This paper explores such an approach for the urbanized area in the Tokyo vicinity.