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                <identifier>oai:data.mendeley.com/xhs3xb5ftj.1</identifier>
                <datestamp>2025-07-28T15:30:54Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>K, Joseph Pious</dc:creator>
    <dc:title>Bivariate Mapping of Rainfall, Groundwater Level, and Landcover</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Bivariate Mapping of Rainfall, Groundwater Level, and Landcover:  
This dataset contains a complete, reproducible workflow for spatial, bivariate analysis of rainfall, groundwater level, and landcover at the regional scale. All source code (R scripts) is organized for clarity, rigour, and cross-platform use following open science best practices. Raster datasets (GeoTIFFs), output maps, and derived tables are included, along with a README.md, LICENSE, and package-locked environment via renv for transparency.

Key features:
1. Bivariate mapping of rainfall and groundwater using the biscale approach.
2. Landcover–groundwater relationships, including custom categorical–continuous legends.
3. All R code is well-commented, modular, and ready for use in teaching or derivative studies.
4. Scripted workflow ensures figures are fully reproducible from raw inputs.
5. Includes helper functions and robust error-handling for flexible adaptation.
6. Supplemented with detailed README and session information for review and provenance.

Typical applications:
Hydrological assessment, aquifer mapping, GIS education, reproducible environmental research.</dc:description>
    <dc:subject>Earth Sciences</dc:subject>
    <dc:subject>Hydrology</dc:subject>
    <dc:subject>Remote Sensing</dc:subject>
    <dc:subject>Geospatial Data Repository</dc:subject>
    <dc:contributor>Raj, A. Stanley</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xhs3xb5ftj.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xhs3xb5ftj.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2025-07-28T15:30:54Z</dc:date>
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