2021
DOI: 10.22389/0016-7126-2021-969-3-28-35
|View full text |Cite
|
Sign up to set email alerts
|

Geoinformation mapping to analyze the spatio-temporal data of agricultural production in Siberian regions

Abstract: The study deals with opportunities of assessing geoinformation mapping to identify prospective areas of interregional specialization for a macroregion as a new political and economic unit of Russia. The spatial assessment method for such Siberian regions’ agricultural specialization is proposed and tested. The study covers 392 rural municipal districts, united in sixteen entities of the Russian Federation and located in four macro-regions. The analysis of the rural muni- cipalities’ productivity indicators for… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 5 publications
0
2
0
Order By: Relevance
“…Based on the aforesaid, there is a need to study climatic factors on the basis of nonlinear dynamics methods that take into account the current volatility of natural processes and phenomena, namely the fact that the grain crop production productivity predicting develops along cyclic trajectories, the stability of the characteristics of which is much higher than the stability of the periodicity of separately selected points of the process. A qualitative grain crop production productivity forecast and scenarios of its development dynamics will allow the DM (decision maker) to control and regulate the ambitious plans of Russian producers, prescribed in the Long-term strategy for the development of the grain complex of the Russian Federation until 2035, according to which the gross harvest of grain and leguminous crops for 2020-2035 should grow by 27.3%, and the volume of exports should increase by 83% [1] and assess the prospects for the necessary reserves and grain reserves creating [9,10,11,12], intended for guaranteed supply of the country, taking into account the agro-climatic and geographical features of the macro-regions.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the aforesaid, there is a need to study climatic factors on the basis of nonlinear dynamics methods that take into account the current volatility of natural processes and phenomena, namely the fact that the grain crop production productivity predicting develops along cyclic trajectories, the stability of the characteristics of which is much higher than the stability of the periodicity of separately selected points of the process. A qualitative grain crop production productivity forecast and scenarios of its development dynamics will allow the DM (decision maker) to control and regulate the ambitious plans of Russian producers, prescribed in the Long-term strategy for the development of the grain complex of the Russian Federation until 2035, according to which the gross harvest of grain and leguminous crops for 2020-2035 should grow by 27.3%, and the volume of exports should increase by 83% [1] and assess the prospects for the necessary reserves and grain reserves creating [9,10,11,12], intended for guaranteed supply of the country, taking into account the agro-climatic and geographical features of the macro-regions.…”
Section: Discussionmentioning
confidence: 99%
“…The source is a single database of investment projects “Investment projects. Digital Platform.” [5] .…”
Section: Methodsmentioning
confidence: 99%