gowusu.r-universe.dev

[gowusu] qrfactor 1.6

owusugeorge@ug.edu.gh (George Owusu) — Sun, 06 Sep 2026 20:07:11 GMT

Performs Q-mode and R-mode factor analysis simultaneously on spatial and non-spatial data. A single function, qrfactor(), carries out principal component analysis, R-mode factor analysis, Q-mode factor analysis, simultaneous R- and Q-mode factor analysis, principal coordinate analysis and multidimensional scaling. Loadings and scores are returned from the fitted object, and the plot() method provides annotated biplots for combinations of eigenvectors, loadings and scores. Input may be supplied as an 'ESRI' shapefile, a delimited text file or a data frame.

[gowusu] sebkc 1.0-8

owusugeorge@ug.edu.gh (George Owusu) — Thu, 13 Aug 2026 10:15:24 GMT

Computes and integrates surface energy balance components of evapotranspiration (ET), sensible heat (H), soil heat flux (G) and net radiation (Rn) into the Food and Agriculture Organization (FAO) Irrigation and Drainage Paper 56 (FAO-56) water balance model. The package can perform single crop coefficient (Kc), dual Kc and the integration of thermal-based evaporative fractions in a water balance model. The surface energy balance models include Two-Source Surface Energy Balance (TSEB) models, namely the Priestley-Taylor TSEB (TSEB-PT), the Penman-Monteith TSEB (TSEB-PM) and TSEB-Parallel, as well as One-Source Surface Energy Balance (OSEB) models, namely the Surface Energy Balance Algorithm for Land (SEBAL), Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), Surface Energy Balance Index (SEBI), Simplified Surface Energy Balance (SSEB) and Surface Energy Balance System (SEBS). Methods are described in Allen et al. (2007) and Bastiaanssen et al. (1998) .

[gowusu] floodflow 0.2.0

owusugeorge@ug.edu.gh (George Owusu) — Sun, 26 Jul 2026 18:53:26 GMT

A reproducible, map-oriented workflow for flood hazard assessment that chains rainfall extreme value analysis, rainfall-runoff simulation, terrain-based flow routing and water-depth estimation into a single pipeline. A stationary-versus-nonstationary test for changing rainfall extremes is built in, and any flood scenario can be produced for a present-day or a climate-adjusted design event. Defaults target settings with sparse gauge networks, using satellite or reanalysis rainfall, temperature-based potential evapotranspiration and regional pooling of short records. Heavy modelling engines are wrapped rather than reimplemented so that the core stays lightweight. Methods follow established hydrology, including the generalized extreme value distribution for rainfall maxima (Coles, 2001, ) and Manning's equation for open-channel flow.