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Multidimensional Data Analysis for Evaluating the Natural and Anthropogenic Safety (in the Case of Krasnoyarsk Territory)
Автор | Tatiana, Penkova | |
Дата внесения | 2019-07-01T07:26:57Z | |
Дата, когда ресурс стал доступен | 2019-07-01T07:26:57Z | |
Дата публикации | 2018-09 | |
Библиографическое описание | Tatiana, Penkova. Multidimensional Data Analysis for Evaluating the Natural and Anthropogenic Safety (in the Case of Krasnoyarsk Territory) [Текст] / Penkova Tatiana // Lecture Notes in Artificial Intelligence: International Joint Conference on Rough Sets (IJCRS 2018). — 2018. — Т. 11103. — С. 101-109 | |
URI (для ссылок/цитирований) | https://link.springer.com/book/10.1007/978-3-319-99368-3 | |
URI (для ссылок/цитирований) | https://elib.sfu-kras.ru/handle/2311/110867 | |
Аннотация | This paper presents an approach to evaluating the natural and technogenic safety of the one of the largest regions in Siberia through the comprehensive analysis of territorial indicators. In order to explore geographical variations and patterns in occurrence of emergencies the multidimensional data analysis technique is applied to data of the Territory Safety Passports. For data modeling, principal components are selected and interpreted taking account of the contribution of the data attributes to the principal components. Data distribution on the principal components is analyzed at different levels of the territory detail: municipal areas and settlements. The results of this analysis have allowed to identify the high-risk areas and rank the territories according to danger degree of occurrence of the natural and technogenic emergencies. It gives the basis for decision making and makes it possible for authorities to allocate the forces and means for territory protection more efficiently and develop a system of measures to prevent and mitigate the consequences of emergencies in the large region. | |
Тема | Multidimensional data analysis | |
Тема | Principal component analysis | |
Тема | Evaluating the natural and anthropogenic safety | |
Тема | Prevention of emergencies | |
Тема | Territorial management | |
Название | Multidimensional Data Analysis for Evaluating the Natural and Anthropogenic Safety (in the Case of Krasnoyarsk Territory) | |
Тип | Journal Article | |
Тип | Journal Article Preprint | |
Страницы | 101-109 | |
ГРНТИ | 20.53.19 | |
Дата обновления | 2019-07-01T07:26:57Z | |
DOI | 10.1007/978-3-319-99368-3_8 | |
Институт | Институт космических и информационных технологий | |
Подразделение | Кафедра информатики | |
Журнал | Lecture Notes in Artificial Intelligence | |
Квартиль журнала в Scopus | Q2 | |
Квартиль журнала в Web of Science | без квартиля |