2018
DOI: 10.1155/2018/7424818
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Geostatistical Analysis Methods for Estimation of Environmental Data Homogeneity

Abstract: The methodology for assessing the spatial homogeneity of ecosystems with the possibility of subsequent zoning of territories in terms of the degree of disturbance of the environment is considered in the study. The degree of pollution of the water body was reconstructed on the basis of hydrochemical monitoring data and information on the level of the technogenic load in one year. As a result, the greatest environmental stress zones were isolated and correct zoning using geostatistical analysis techniques was pr… Show more

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Cited by 14 publications
(9 citation statements)
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“…The thermal nitrogen desorption method was used for determining the specific surface area and pore sizes with the Quantachrome Nova 1000e automatic analyzer. Before analysis, the samples were preliminarily dried to constant weight at a temperature of 250 • C. Degassing was carried out for 10 h for each sample at a temperature of 210 • C under vacuum [27][28][29].…”
Section: Methodsmentioning
confidence: 99%
“…The thermal nitrogen desorption method was used for determining the specific surface area and pore sizes with the Quantachrome Nova 1000e automatic analyzer. Before analysis, the samples were preliminarily dried to constant weight at a temperature of 250 • C. Degassing was carried out for 10 h for each sample at a temperature of 210 • C under vacuum [27][28][29].…”
Section: Methodsmentioning
confidence: 99%
“…Territories were ranked in MapInfo, a GIS product that provides different data grouping options, for example, "equal number of records", "equal range of values", "groups formed naturally", etc [65]. In this study, territories were ranked based on the integral indicator of territorial prestige (IITP) using cluster analysis, which enables researchers to classify the results of their observations and split data into homogeneous groups with great precision [66].…”
Section: Methodsmentioning
confidence: 99%
“…Secondly, obtaining the values of some pricing factors using spatial interpolation [12][13][14], which makes it possible to abandon the multi-format information (often conflicting) coming from various databases.…”
Section: Source Of Pricing Factorsmentioning
confidence: 99%