A comprehensive toolkit for geospatiotemporal analysis
    featuring 60+ vegetation indices, advanced raster visualization,
    universal spatial mapping, water quality analysis, CDL crop analysis,
    spatial interpolation, temporal analysis, and terrain analysis.
    Designed for agricultural research, environmental monitoring, remote
    sensing applications, and publication-quality mapping with support for
    any geographic region and robust error handling. Methods include
    vegetation indices calculations (Rouse et al. 1974), NDVI and enhanced
    vegetation indices (Huete et al. 1997)
    <doi:10.1016/S0034-4257(97)00104-1>, (Akanbi et al. 2024) 
    <doi:10.1007/s41651-023-00164-y>, spatial interpolation techniques
    (Cressie 1993, ISBN:9780471002556), water quality indices (McFeeters
    1996) <doi:10.1080/01431169608948714>, and crop data layer analysis
    (USDA NASS 2024)
    <https://www.nass.usda.gov/Research_and_Science/Cropland/>.  Funding:
    This material is based upon financial support by the National Science
    Foundation, EEC Division of Engineering Education and Centers, NSF
    Engineering Research Center for Advancing Sustainable and Distributed
    Fertilizer production (CASFER), NSF 20-553 Gen-4 Engineering Research
    Centers award 2133576.

Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

Estimation of the variogram through trimmed mean, radial basis 
        functions (optimization, prediction and cross-validation), summary
        statistics from cross-validation, pocket plot, and design of
        optimal sampling networks through sequential and simultaneous
        points methods.

Spatio-temporal radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, Adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.