Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes

All known forecasting methods cannot do without the help of maps when it comes to natural phenomena and processes. Geographic forecasting can be considered as predicting geographic phenomena or processes that cannot  be explored. Identity of the methodology for forecasting the dynamics of phenomena...

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Main Authors: V. I. Mikhailov, E. Yu Myslivchi
Format: Article
Language:Russian
Published: Belarusian National Technical University 2020-10-01
Series:Nauka i Tehnika
Subjects:
Online Access:https://sat.bntu.by/jour/article/view/2364
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author V. I. Mikhailov
E. Yu Myslivchi
author_facet V. I. Mikhailov
E. Yu Myslivchi
author_sort V. I. Mikhailov
collection DOAJ
description All known forecasting methods cannot do without the help of maps when it comes to natural phenomena and processes. Geographic forecasting can be considered as predicting geographic phenomena or processes that cannot  be explored. Identity of the methodology for forecasting the dynamics of phenomena in time and their propagation in space makes it possible to transfer the patterns that are true for time sequences to spatial series. In contrast to specialized forecasting methods developed by individual sciences, cartography provides a researcher with a general forecasting method called cartographic extrapolation. In this case the extrapolation is understood as the spread of patterns obtained in the course of cartographic analysis of  a  phenomenon  or  a  process to an unexplored part of  this  phenomenon or process to another territory, for the future. The foregoing is considered on the example of a map of Modern vertical movements of the Earth’s crust in the Republic of Belarus which is compiled according to geophysical data and repeated leveling. Predictive patterns and expectations are highlighted while applying the method of cartographic extrapolation on the map. The efficiency of cartographic extrapolation is increased with the complex use of different methods. The interaction of cartographic and remote methods is of particular importance. Joint analysis of maps, aerial and satellite images obtained from different heights and in different ranges helps to predict general global, regional or local patterns. An example of this is geological and geomorphological research. Maps of different contents and the results of interpretation of aerial photographs have been used to predict the neo-tectonic structure of the territory in the zone of junction of the Mikashevich ledge of the crystalline basement and the Turov depression in the Belarusian Polesie.
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spelling doaj.art-3ce53228cdb14addbe55b30766e05ef62022-12-22T04:21:58ZrusBelarusian National Technical UniversityNauka i Tehnika2227-10312414-03922020-10-0119540741210.21122/2227-1031-2020-19-5-407-4122078Cartographic Extrapolation as Method for Forecasting Natural Phenomena and ProcessesV. I. Mikhailov0E. Yu Myslivchi1Belаrusian National Technical UniversityBelаrusian National Technical UniversityAll known forecasting methods cannot do without the help of maps when it comes to natural phenomena and processes. Geographic forecasting can be considered as predicting geographic phenomena or processes that cannot  be explored. Identity of the methodology for forecasting the dynamics of phenomena in time and their propagation in space makes it possible to transfer the patterns that are true for time sequences to spatial series. In contrast to specialized forecasting methods developed by individual sciences, cartography provides a researcher with a general forecasting method called cartographic extrapolation. In this case the extrapolation is understood as the spread of patterns obtained in the course of cartographic analysis of  a  phenomenon  or  a  process to an unexplored part of  this  phenomenon or process to another territory, for the future. The foregoing is considered on the example of a map of Modern vertical movements of the Earth’s crust in the Republic of Belarus which is compiled according to geophysical data and repeated leveling. Predictive patterns and expectations are highlighted while applying the method of cartographic extrapolation on the map. The efficiency of cartographic extrapolation is increased with the complex use of different methods. The interaction of cartographic and remote methods is of particular importance. Joint analysis of maps, aerial and satellite images obtained from different heights and in different ranges helps to predict general global, regional or local patterns. An example of this is geological and geomorphological research. Maps of different contents and the results of interpretation of aerial photographs have been used to predict the neo-tectonic structure of the territory in the zone of junction of the Mikashevich ledge of the crystalline basement and the Turov depression in the Belarusian Polesie.https://sat.bntu.by/jour/article/view/2364mapscartographic extrapolationinterpretation from aerial photographsforecasting
spellingShingle V. I. Mikhailov
E. Yu Myslivchi
Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
Nauka i Tehnika
maps
cartographic extrapolation
interpretation from aerial photographs
forecasting
title Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
title_full Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
title_fullStr Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
title_full_unstemmed Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
title_short Cartographic Extrapolation as Method for Forecasting Natural Phenomena and Processes
title_sort cartographic extrapolation as method for forecasting natural phenomena and processes
topic maps
cartographic extrapolation
interpretation from aerial photographs
forecasting
url https://sat.bntu.by/jour/article/view/2364
work_keys_str_mv AT vimikhailov cartographicextrapolationasmethodforforecastingnaturalphenomenaandprocesses
AT eyumyslivchi cartographicextrapolationasmethodforforecastingnaturalphenomenaandprocesses