Population Growth Prediction Model

TECH FOR FIT I -Population Growth Prediction Model

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This MATLAB program predicts future population trends by considering multiple influencing factors such as GDP, fertility rate, and mortality rate. It is intended for researchers and students who are seeking insights into demographic changes through a comprehensive and realistic modeling approach. The model aims to provide a more accurate alternative to simple trend based predictions, allowing users to compare raw population projections with more realistic projections that account for external variables.
Key Features
  • Multi Factor Modeling: Incorporates economic, healthcare, and urbanization data for more reliable population forecasts.
  • Raw vs. Realistic Comparison: Easily compare basic trend based predictions with factor adjusted, more realistic predictions.
  • Clear Data Visualization: Generates clean, well-labeled graphs that display predicted trends based on selected influencing factors.
  • Structured Code: Organized in a clear way that allows researchers and students to easily follow the modeling process and adjust inputs as needed.
  • Adaptability: Can be updated with new datasets and applied to different countries or regions.
  • Resource Efficient: Designed to run efficiently on the MATLAB system without the need for additional specialized software.
Target Audience
This tool is aimed at researchers, students, and anyone interested in studying population growth beyond simple trend extrapolation, focusing on understanding how different variables influence demographic change.
Datasets
Users must download the provided Excel sheets for population and influencing factor data. Updated, newer or customized datasets can be substituted in, as long as the formatting is consistent with the examples.

引用格式

Daniel (2026). Population Growth Prediction Model (https://ww2.mathworks.cn/matlabcentral/fileexchange/181047-population-growth-prediction-model), MATLAB Central File Exchange. 检索时间: .

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一般信息

MATLAB 版本兼容性

  • 兼容任何版本

平台兼容性

  • Windows
  • macOS
  • Linux
版本 已发布 发行说明 Action
2.0.2

Target Audience

2.0.1

Audients

2.0.0

Key Features, Datasets

1.0.0