The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables
As anisotropy is a fundamental property of the real-world environmental spatial variables, the conventional omnidirectional variograms and correlograms do not provide means enough to characterise spatial dependence between observations. The purpose of this article is to introduce directional univari...
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| Format: | Article |
| Language: | English |
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Sciendo
2019-06-01
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| Series: | Ekológia (Bratislava) |
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| Online Access: | https://doi.org/10.2478/eko-2019-0011 |
| _version_ | 1819016911988457472 |
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| author | Svidzinska Daria |
| author_facet | Svidzinska Daria |
| author_sort | Svidzinska Daria |
| collection | DOAJ |
| description | As anisotropy is a fundamental property of the real-world environmental spatial variables, the conventional omnidirectional variograms and correlograms do not provide means enough to characterise spatial dependence between observations. The purpose of this article is to introduce directional univariate structure functions analysis to explore and quantify the spatial anisotropy of environmental variables. Analysis of six environmental variables within three physical–geographical regions proved the leading role of relief for landscape differentiation; it also defined the size and extension of major landforms responsible for the organisation of spatial pattern. The arrangement of the vegetation patches demonstrated linkage with the major landforms. The other relief derivatives, being prone to noise and artefacts in the original data, showed a random-variable type of behaviour. In the lack of any particular spatially anisotropic structure, the results of the analysis can provide a clue about meaningful distances of interest at finer scales. The approach can also be an exploratory tool for discrete measurements to recognise the features of spatial continuity. |
| first_indexed | 2024-12-21T02:55:10Z |
| format | Article |
| id | doaj.art-5f845fa42d9f4297b2a8554bec1d546d |
| institution | Directory Open Access Journal |
| issn | 1337-947X |
| language | English |
| last_indexed | 2024-12-21T02:55:10Z |
| publishDate | 2019-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Ekológia (Bratislava) |
| spelling | doaj.art-5f845fa42d9f4297b2a8554bec1d546d2022-12-21T19:18:20ZengSciendoEkológia (Bratislava)1337-947X2019-06-0138214015310.2478/eko-2019-0011eko-2019-0011The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental VariablesSvidzinska Daria0Department of Physical Geography and Geoecology, Faculty of Geography, Taras Shevchenko National University of Kyiv, 2A Akademika Glushkova ave., MSP-680, Kyiv, UkraineAs anisotropy is a fundamental property of the real-world environmental spatial variables, the conventional omnidirectional variograms and correlograms do not provide means enough to characterise spatial dependence between observations. The purpose of this article is to introduce directional univariate structure functions analysis to explore and quantify the spatial anisotropy of environmental variables. Analysis of six environmental variables within three physical–geographical regions proved the leading role of relief for landscape differentiation; it also defined the size and extension of major landforms responsible for the organisation of spatial pattern. The arrangement of the vegetation patches demonstrated linkage with the major landforms. The other relief derivatives, being prone to noise and artefacts in the original data, showed a random-variable type of behaviour. In the lack of any particular spatially anisotropic structure, the results of the analysis can provide a clue about meaningful distances of interest at finer scales. The approach can also be an exploratory tool for discrete measurements to recognise the features of spatial continuity.https://doi.org/10.2478/eko-2019-0011autocorrelationenvironmental variablekanivs’kiy nature reservesemivariancespatial analysisspatial anisotropy |
| spellingShingle | Svidzinska Daria The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables Ekológia (Bratislava) autocorrelation environmental variable kanivs’kiy nature reserve semivariance spatial analysis spatial anisotropy |
| title | The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables |
| title_full | The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables |
| title_fullStr | The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables |
| title_full_unstemmed | The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables |
| title_short | The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables |
| title_sort | application of directional univariate structure functions analysis for studying the spatial anisotropy of environmental variables |
| topic | autocorrelation environmental variable kanivs’kiy nature reserve semivariance spatial analysis spatial anisotropy |
| url | https://doi.org/10.2478/eko-2019-0011 |
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