KFU. Card publication. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan)

KAZAN
FEDERAL UNIVERSITY

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THE USE OF AUTOMATED GEOMORPHOLOGICAL CLUSTERING FOR PURPOSES OF URBAN PLANNING (THE EXAMPLE OF THE CITY OF KAZAN)

Form of presentation

Articles in international journals and collections

Year of publication

2014

Authors, employees of KFU

Ermolaev Oleg Petrovich, author

Other authors

Selivanov R.N.

Bibliographic description in the original language

Yermolaev O.P. , Selivanov R.N. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan) // World Applied Sciences Journal 30 (11): 1648-1655, 2014. DOI: 10.5829/idosi.wasj.2014.30.11.1422

Annotation

Differentiation of the relief into separate elementary geomorphological sections yields the basis for most adequate determination of the boundaries of urban geosystems. In this paper the results of approbation of relief classification methods based on Artificial Neuron Networks are presented. The developed model of the restored landscapes represents the city territory as a system of geomorphologically homogenous terrains. The results can be used in the analyzing of informal arrangement of a territory, which is necessary for the adjustment of visual properties of a landscape by planning methods.

Keywords

Artificial Neuron Networks, Relief classification, Geomorphological clustering, City territory, Urban landscape, Functional zoning

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=79708&p_lang=2

Resource files

File name	Size (MB)	Format
UP.pdf	0,09	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Ermolaev Oleg Petrovich	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Yermolaev O.P. , Selivanov R.N. The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan) // World Applied Sciences Journal 30 (11): 1648-1655, 2014. DOI: 10.5829/idosi.wasj.2014.30.11.1422	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=79708&p_lang=2	ru_RU
dc.description.abstract	Differentiation of the relief into separate elementary geomorphological sections yields the basis for most adequate determination of the boundaries of urban geosystems. In this paper the results of approbation of relief classification methods based on Artificial Neuron Networks are presented. The developed model of the restored landscapes represents the city territory as a system of geomorphologically homogenous terrains. The results can be used in the analyzing of informal arrangement of a territory, which is necessary for the adjustment of visual properties of a landscape by planning methods.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Artificial Neuron Networks	ru_RU
dc.subject	Relief classification	ru_RU
dc.subject	Geomorphological clustering	ru_RU
dc.subject	City territory	ru_RU
dc.subject	Urban landscape	ru_RU
dc.subject	Functional zoning	ru_RU
dc.title	The Use of Automated Geomorphological Clustering for Purposes of Urban Planning (The Example of the City of Kazan)	ru_RU
dc.type	Articles in international journals and collections	ru_RU