Mathematical and statistical analysis of geo-images for studying the spatial organization of geosystems
https://doi.org/10.55959/MSU0579-9414.5.79.5.4
Abstract
An important line of landscape studies is the development of new methods for quantitative analysis of spatial information basing on the progressing theoretical basis, here the theory of complex geosystems, their models of linear ordering and cohesion of various parts of a territorial entity. The method is based on the procedures of tangent stratification (fiber bundle) of geosystem functions of the connection of geographical characteristics and their transformation, which makes it possible to identify the genetic basis (geonome) of landscape structure and landscape organization based on space geo-images. Raster geo-images are deployed in a linear sequence, and the linear cohesion of the brightness values of different channels is calculated using the rolling regression method. A geonom has been identified and raster mapping of regression coefficients as parameters of the order of mountain landscapes of the southern macro-slope of the Tunka goletzy in the Eastern Sayan Mountains has been carried out. The multipath geonomic function calculated from spatial data displays the hidden essence of the original geo-image, which can be restored with 88% accuracy using this function. Each path ray highlights a geonome of a corresponding geomere, according to which it becomes possible to compare and classify geosystems, as well as to trace their spatial and temporal variability. High values of the cohesion order parameters relate to the geosystems of highlands, northern slopes and river valleys; they also highlight the point boundaries of the geomere’s cores and the lineaments of the territorial structure.
Keywords
models of complex geosystems,
geosystem functions,
tangent bundle,
order parameters,
processing of raster geo-images,
Eastern Sayan
Supporting agencies: The study was carried out using the funds of the state task (state registration number of the topic AAAA21-121012190056-4).
About the Authors
A. K. Cherkashin
V.B. Sochava Institute of Geography SB RAS, Laboratory of Theoretical Geography
Russian Federation
Russian Federation
Professor, Chief Scientifi c Researcher, D. Sc. in Geography
E. A. Rasputina
V.B. Sochava Institute of Geography SB RAS, Laboratory of Theoretical Geography
Russian Federation
Russian Federation
Senior Scientific Researcher, Ph. D. in Geography
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Review
For citations:
Cherkashin A.K., Rasputina E.A. Mathematical and statistical analysis of geo-images for studying the spatial organization of geosystems. Lomonosov Geography Journal. 2024;(5):40-51. (In Russ.) https://doi.org/10.55959/MSU0579-9414.5.79.5.4
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