A Combined Model of Global Cultivated Area Change and Prediction for Future: 1961–2020
Author(s) -
Chengjun Wang,
Ximin Fei
Publication year - 2013
Publication title -
isrn applied mathematics
Language(s) - English
Resource type - Journals
eISSN - 2090-5572
pISSN - 2090-5564
DOI - 10.1155/2013/125260
Subject(s) - series (stratigraphy) , time series , trend analysis , econometrics , statistics , geography , environmental science , mathematics , biology , paleontology
As a basic condition for food safety, cultivated area fluctuates in recent years. So, it has important political and economical significance to understand the future change trend of global cultivated area. Based on historical data in the past 50 years, deterministic time series analysis model, random time series analysis model, and combined model were established by using time series analysis method. By comparison, the combined model has the highest fitting and prediction accuracy, and it is suitable for the prediction of global cultivated area change trend. The global cultivated area will rise slightly in fluctuation in the near future driven by a combination of deterministic factors and random factors.
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