Geology, geography and global energy
Scientific and Technical Journal
Use of multivariate statistical methods for estimation of the spatial changes in anthropogenic transformation (Land use)
2014. №4, pp. 176-185
Shabanov Dmitriy I. - C.Sc. in Geography Associate Professor, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, mettus@mail.ru
Iolin Mikhail M. - C.Sc. in Geography Associate Professor, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, miolin76@mail.ru
Borzova Anastasiya S. - Undergraduate Stu, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, kafedra.geografii@mail.ru
Agoshkova Yelena V. - Consultant, LLC “Consulting center "MoyMir"”, 21/33 Chugunov st., Astrakhan, 414040, Russian Federation, agoshkova.e@mail.ru
Chigina Tatiyana S. - Post-graduate student, Astrakhan State University, 1 Shaumyan sq., Astrakhan, 414000, Russian Federation, kafedra.geografii@mail.ru
The technique for integrated characteristics of anthropogenous change of the territory with use of elements of multivariate statistics and geoinformation technologies is given. Spatial unit is considered as a point in multidimensional space of different types of land use. The beginning of coordinates represents "ideal" territorial unit where all parameters transforming a landscape are equal to zero. The distance from the beginning of coordinates is used as an assessment of anthropogenous transformation of spatial unit. Set of formulas for distance calculation (Euclidean, Chebyshev and Manhattan distance), is carried out in comparison. Euclidean is more general metrics, Chebyshev is suitable for similar data sets and Manhattan metrics minimize outlier influence. On the basis of raw data estimation, correlation and analysis of distribution in spatial deviations in the distances calculated via three metrics Euclidean distance is proved as reasonable for a case of the Astrakhan region.
Key words: антропогенная трансформация территории, многомерные статистические методы, ГИС, дистанционное зондирование Земли, евклидово расстояние, land use, RS, GIS, multivariate statistics, general estimation, anthropogenic transformation
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