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mondal0/hlikelihood-selected-inverse

Domain:

agriculture

Record type:

software
Creator:
mon
Host:
Fast direct h-likelihood estimation for irregular spatial data using a selected inverse algorithm, with applications to crop micronutrient mapping in Ethiopia and Malawi. # hlikelihood-selected-inverse Fast direct h-likelihood estimation for irregular spatial data using a selected inverse algorithm, with applications to crop micronutrient mapping in Ethiopia and Malawi. This GitHub repository accompanies the paper: > Zou, H. and Mondal, D. (2026). *Fast Direct H-likelihood Estimation Using Selected Inverse for Irregular Spatial Data* --- ## Repository Structure ### `Data/` This folder contains instructions for downloading datasets and organizing them into country-specific subfolders. ### `Data/Ethiopia/` Stores Ethiopia crop grain micronutrient data, environmental covariates, soil measurements, and geographic information. ### `Data/Malawi/` Stores Malawi crop grain micronutrient data, environmental covariates, soil measurements, and geographic information. --- ### `Script/` This directory contains the scripts required to reproduce the analysis and figures presented in the paper. * **`Ethiopia.R`, `Malawi.R`** Scripts that implement the proposed methodology for analyzing the Ethiopia and Malawi datasets, respectively. * **`Figure.R`** Script for reproducing all figures reported in the paper. * **`geoR.R`** Script that analyzes the Ethiopia and Malawi datasets using the `geoR` package. --- ### `Output/` This directory contains outputs generated from the analysis. * **`ethiopia8_psi_hat.txt`, `ethiopia12_psi_hat.txt`, `malawi0.01_psi_hat.txt`, `malawi0.016_psi_hat.txt`** Estimated spatial random effects under different neighborhood specifications, generated by `Script/Ethiopia.R` and `Script/Malawi.R`. * **`ethiopia8_se_predict.txt`, `ethiopia12_se_predict.txt`, `malawi0.01_se_predict.txt`, `malawi0.016_se_predict.txt`** Prediction standard errors under different neighborhood specifications, generated by `Script/Ethiopia.R` and `Script/Malawi.R`. * **`teff_e.txt`, `maize_m.txt`** Processed datasets for teff (Ethiopia) and maize (Malawi), derived from raw GeoNutrition data. * **`location_e.txt`, `location_m.tx …