KFU. Card publication. Current perspectives on social mapping of urban territories

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

CURRENT PERSPECTIVES ON SOCIAL MAPPING OF URBAN TERRITORIES

Form of presentation

Articles in international journals and collections

Year of publication

2015

Язык

английский

Authors, employees of KFU

Ermolaev Oleg Petrovich, author

Ermolaeva Polina Olegovna, author

Safiullin Marat Rashitovich, author

Bibliographic description in the original language

Safiullin, M.R., Ermolaeva, P.O., Yermolaev, O.P., Selivanov, R.N. Current perspectives on social mapping of urban territories / Safiullin, M.R., Ermolaeva, P.O., Yermolaev, O.P., Selivanov, R.N. // Asian Social Science; Vol. 11, No. 6; 2015. - pp.207-213.

Annotation

The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens? engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst.

Keywords

GIS, QGIS, PPGIS, artificial neuron networks, self-organizing maps, social mapping, urban territory

The name of the journal

Asian Social Science

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-84926430965&partnerID=40&md5=1009c4997c5bda082a6dab142f2c828e

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

https://repository.kpfu.ru/eng/?p_id=111527&p_lang=2

Resource files

File name	Size (MB)	Format
RNF7.pdf	0,07	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Ermolaev Oleg Petrovich	ru_RU
dc.contributor.author	Ermolaeva Polina Olegovna	ru_RU
dc.contributor.author	Safiullin Marat Rashitovich	ru_RU
dc.date.accessioned	2015-01-01T00:00:00Z	ru_RU
dc.date.available	2015-01-01T00:00:00Z	ru_RU
dc.date.issued	2015	ru_RU
dc.identifier.citation	Safiullin, M.R., Ermolaeva, P.O., Yermolaev, O.P., Selivanov, R.N. Current perspectives on social mapping of urban territories / Safiullin, M.R., Ermolaeva, P.O., Yermolaev, O.P., Selivanov, R.N. // Asian Social Science; Vol. 11, No. 6; 2015. - pp.207-213.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=111527&p_lang=2	ru_RU
dc.description.abstract	Asian Social Science	ru_RU
dc.description.abstract	The article provides insights on the conceptualization of social mapping and its three main types: statistical, anthropological and network-oriented. Each perspective is described in detail and illustrated by examples. Artificial Neuron Networks with a particular interest to self-organizing maps are embedded in the analysis as a cutting-edge technique of social mapping now actively used by interdisciplinary researchers. The authors argue that despite the variety of social mapping techniques, they all have common features such as ordering and grouping of objects based on particular framework and empirical data, flexibility, visibility, citizens? engagement on developing maps. Along with advantages, authors acknowledge such limitations of social mapping as data exclusion, data scale incompatibility and complexity of datasets that are beyond the cognitive abilities of the analyst.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	GIS	ru_RU
dc.subject	QGIS	ru_RU
dc.subject	PPGIS	ru_RU
dc.subject	artificial neuron networks	ru_RU
dc.subject	self-organizing maps	ru_RU
dc.subject	social mapping	ru_RU
dc.subject	urban territory	ru_RU
dc.title	Current perspectives on social mapping of urban territories	ru_RU
dc.type	Articles in international journals and collections	ru_RU