2017
Kamenicko – ikonické modely odhalují nenápadnou realitu
KOLEJKA, Jaromír a Aleš RUDAZákladní údaje
Originální název
Kamenicko – ikonické modely odhalují nenápadnou realitu
Název česky
Kamenicko – ikonické modely odhalují nenápadnou realitu
Název anglicky
Kamenicko Area – Iconic Models Reveal Inconspicuous Reality
Autoři
KOLEJKA, Jaromír a Aleš RUDA
Vydání
Životné prostredie : revue pre teóriu a tvorbu životného prostredia, Bratislava, Slovenská akadémia vied, 2017, 0044-4863
Další údaje
Jazyk
čeština
Typ výsledku
Článek v odborném periodiku
Obor
10511 Environmental sciences
Stát vydavatele
Slovensko
Utajení
není předmětem státního či obchodního tajemství
Organizační jednotka
Pedagogická fakulta
Klíčová slova česky
geostatistika; vizualizace; GIS; srovnávání; postindustriální krajina; místní úroveň
Klíčová slova anglicky
geostatistics; vizualisation; GIS; comparison; post-industrial landscape; local level
Štítky
Příznaky
Recenzováno
Změněno: 26. 4. 2017 21:55, prof. RNDr. Jaromír Kolejka, CSc.
V originále
With respect to geostatistical data processing, the paper illustrates procedures of 3D iconic models creating for territorial distribution of industrial heritage in Kamenice area situated on the north of Bohemia, the Czech Republic. In order to distinguish the contribution to visual interpretation three methods (square analysis in 100 m grid, Focal Statistics, Kernel regression) were applied. The best results have been received from applying Focal Statics technique which the most cogently identified cores of Kamenice post-industrial landscape. Although this method overvalues peripheries of post-industrial landscape the cores were significantly delineated. These areas should be considered in following planning and decision making.
Anglicky
With respect to geostatistical data processing, the paper illustrates procedures of 3D iconic models creating for territorial distribution of industrial heritage in Kamenice area situated on the north of Bohemia, the Czech Republic. In order to distinguish the contribution to visual interpretation three methods (square analysis in 100 m grid, Focal Statistics, Kernel regression) were applied. The best results have been received from applying Focal Statics technique which the most cogently identified cores of Kamenice post-industrial landscape. Although this method overvalues peripheries of post-industrial landscape the cores were significantly delineated. These areas should be considered in following planning and decision making.
Návaznosti
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