Data for: Historical land policies influence contemporary landscape patterns in agropastoral landscapes

This dataset contains the multi-temporal spatial data layers, including Landsat derived land use and land cover (LULC) data, processed files and analysis summaries used to evaluate the legacy impacts of four historical land policy trajectories over a 44-year timeline (1974-2018) in Narok County, Kenya. The study examines how shifting tenure regimes, ranging from individual privatization (PR) to group ranches (GR), recently privatized (GRPR), and wildlife conservancies (CON), shape contemporary landscape pattern. The data serve as an empirical basis for diagnosing how legacy socio-political boundaries act as structural barriers or accelerators for landscape change.  Directory & File Layout To execute the accompanying GitHub R scripts seamlessly, extract and maintain the data within this uniform root directory layout: ├── Code/ │ ├── LULC_DataPrep.R # Data standardization and masking │ ├── calc_LandscapeMetrics.R # Batch metric calculations via landscapemetrics │ ├── calc_plot_IntensityAnalysis.R # Multi-temporal change intensity analysis and visualization │ └── plot_LandscapeMetrics.R # Metrics visualization ├── Data/ ├── Raw/ # Source GIS layers (Landsat grids, StudySites.shp) ├── Processed/ # Harmonized 3-class rasters (.tif) └── Analysis_Outputs/ # Quantified landscape summary tables (.csv) Technical Specifications and Classification Schema  Spatial Resolution: 30-meter pixel grid size. Coordinate Reference System: Target analysis projected in UTM Zone 37S (EPSG:32737). Categorical Value Key: 1 = Forest (Native evergreen canopy, riverine thickets, protected woodlots) 2 = Rangeland (Savannah grasslands, open scrub, communal grazing matrix) 3 = Cropland (Smallholder agriculture, mechanized or commercial cultivation) 0 / 99 = Masked Background (Dynamically flagged as NA across scripts to preserve metric calculation integrity)