INCREASING RELIABILITY OF INDEXING SUSTAINABLE DEVELOPMENT USING MULTIVARIANCE: CALCULATION AND MAPPING

DOI: 10.24057/2414-9179-2016-1-22-207-212

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Об авторах

V. S. Tikunov

Lomonosov Moscow State University
Россия

Faculty of Geography, Integrated Mapping Laboratory, Head, Full Professor, Doctor of Science

O. Yu. Chereshnya

Lomonosov Moscow State University, Faculty of Geography, Department of Geography of the World Economy
Россия
PhD student

Аннотация

This article provides an overview of existing techniques used to improve the reliability of classification. In particular, it focuses on the multivariance as a simple and reliable method of increasing the reliability of estimates. The use of multivariance aythorth consider on an example of the Index of the ecological situation of Russian Regions, that has been designed as part of complex estimation of sustainable development. The index includes three indicators: damage caused by air pollution, amount of discharged polluted wastewater and environmental protection expenditures.

Ключ. слова

multivariance, indexing, sustainable development, reliability, mapping

Список литературы

  1. SAS Institute Inc., 1985, SAS User’s Guide: Statistics, version 5 edition. Gary, N.C.: SAS Institute Inc.
  2. Tikunov V.S., Treyvish A.I. 2006, An attempt to estimate geographical size of countries and their regions, Moscow University Herald, ser 5 Geography, № 1, 40–49 (in Russian).
  3. Tikunov V.S. 1990, Multiple modeling geographic systems, Izvestija AN SSSR, ser. geografich., N 5, 106–118 (in Russian).

Для цитирования: Tikunov V.S., Chereshnya O.Y. INCREASING RELIABILITY OF INDEXING SUSTAINABLE DEVELOPMENT USING MULTIVARIANCE: CALCULATION AND MAPPING. Материалы Международной конференции «ИнтерКарто. ИнтерГИС». 2016;22(1):207–212. DOI: 10.24057/2414-9179-2016-1-22-207-212

For citation: Tikunov V.S., Chereshnya O.Y. INCREASING RELIABILITY OF INDEXING SUSTAINABLE DEVELOPMENT USING MULTIVARIANCE: CALCULATION AND MAPPING. Proceedings of the International conference “InterCarto. InterGIS”. 2016;22(1):207–212 DOI: 10.24057/2414-9179-2016-1-22-207-212