redina06/Spatial-Analysis

Spatial Analysis of Crop Yields in Ethiopia — Maize, Teff, Wheat & Sorghum (1996–2022). Features choropleth maps, Moran's I, LISA, Kriging, IDW interpolation, and SAR/SEM spatial regression using R. # 🌾 Spatial Analysis of Agricultural Crop Yields in Ethiopia **Group 5** | *Submitted: May 2026* **Dataset:** Ethiopian CSA Agricultural Survey (1996–2022) **Shapefile:** GADM Ethiopia Level 1 (11 Regions) --- ### Project Overview Comprehensive spatial data analysis of major crop yields (Maize, Teff, Wheat, Sorghum) across Ethiopian regions. The project covers exploratory mapping, spatial autocorrelation, geostatistics, interpolation, and spatial regression modeling. ### Key Analyses - **Choropleth Maps** – Yield distribution by region - **Spatial Autocorrelation** – Moran's I, Geary's C, LISA - **Geostatistical Analysis** – Variogram modeling - **Interpolation** – IDW + Ordinary Kriging - **Spatial Regression** – OLS, SAR (Spatial Lag), SEM (Spatial Error) - **Visualization** – Time series trends, scatter plots, and neighbor maps ### Tools & Packages **R** • `sf` • `spdep` • `tmap` • `gstat` • `spatialreg` • `ggplot2` ### Output Files - Multiple high-resolution maps (`.png`) - Diagnostic plots and model summaries --- **Academic Group Project** demonstrating practical application of spatial statistics in agriculture.