Codes:Understanding of the Predictability and Uncertainty in Population Distributions Empowered by Visual Analytics

This is the codes and the example data for the manuscript submitted to IJGIS entitled:Understanding of the Predictability and Uncertainty in Population Distributions Empowered by Visual AnalyticsProject OverviewThis project aims to perform data preprocessing, population estimation, SHAP explanation of population estimation, uncertainty estimation, SHAP explanation of uncertainty, and result analysis. The source code is organized into multiple modules, and sample data files are provided.Modules DescriptionData PreprocessingThe module contains functions and classes to clean, transform, and prepare the data for further analysis and modeling.Population EstimationThe module provides methods for estimating population size based on the preprocessed data. This includes various statistical and machine learning techniques.SHAP Explanation of Population EstimationThe module uses SHAP (SHapley Additive exPlanations) to interpret and explain the results of the population estimation. It helps in understanding the contribution of each feature to the prediction.Uncertainty EstimationThe module focuses on estimating the uncertainty in the population estimates. This is crucial for understanding the confidence level of the predictions.SHAP Explanation of UncertaintyThe module applies SHAP to explain the uncertainty estimates, providing insights into the factors contributing to the uncertainty.Result AnalysisThe module is responsible for analyzing the results of the population estimation and uncertainty estimation. It includes various statistical analyses and visualization techniques to interpret the findings.