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Retrieval Dataset of Historical Cropland Area in Russia (1000-2000)


ZHAO Zhilong1LI Jun1FANG Xiuqi1YE Yu1
1 Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China

DOI:10.3974/geodb.2022.01.05.V1

Published:Jan. 2022

Visitors:7220       Data Files Downloaded:42      
Data Downloaded:46.97 MB      Citations:

Key Words:

Russia,cropland area,historical data retrieval,relationship models,1000-2000

Abstract:

The Retrieval Dataset of Historical Cropland Area in Russia (1000-2000) covers five historical periods of Russia, they are: Kiev Russia, Principality of Moscow, Russian Empire, Soviet Union and Russian Federation. Besides the historical cropland area records of references, the cropland areas else were calculated by the relationship models between cropland area and population, reclamation rate, grain yield and number of towns, as well as interpolation method of cultivated land area. The historical maps were the information sources for the spatial data of the dataset. The dataset included 5 groups spatial data and 3 tabular data. The spatial data includes: (1) the boundary data of the European part of Russia in 1000, 1533, 1900 and 1958; (2) the boundary data of Siberia. The tabular data includes: (1) cropland area data of Russia during 1000-2000; (2) cropland area of the European part of Russia during 1000-2000; (3) cropland area data of Siberia during 1590-2000. The dataset is archived in .shp and .xlsx data formats, and consists of 41 data files with data size of 2.18 MB (compressed to one single file with 1.11 MB).Browse

Foundation Item:

Ministry of Science and Technology of P. R. China (2017YFA0603304)

Data Citation:

ZHAO Zhilong, LI Jun, FANG Xiuqi, YE Yu. Retrieval Dataset of Historical Cropland Area in Russia (1000-2000)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.01.05.V1.

ZHAO Zhilong, LI Jun, FANG Xiuqi, et al. Cropland area dataset of the Russian Empire/Union of Soviet Socialist Republics during the past millennium (1000–2000) [J]. Journal of Global Change Data & Discovery, 2022, 6(2): 249–256.

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Data Product:

ID Data Name Data Size Operation
0Datapaper_CroplandRussia_1000-2000.pdf203.00kbDownLoad
1 CroplandRussia_1000-2000.rar 1145.22KB
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