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  "Title": "Predictive Moran's Eigenvector Maps",
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  "Description": "Calculate Predictive Moran's Eigenvector Maps (pMEM) for\nspatially-explicit prediction of environmental variables, as\ndefined by Guénard and Legendre (2024)\n<doi:10.1111/2041-210X.14413>. pMEM extends classical MEM by\nenabling interpolation and prediction at unsampled locations\nusing spatial weighting functions parameterized by range (and\noptionally shape). The package implements multiple pMEM types\n(e.g., exponential, Gaussian, linear) and features a modular\narchitecture that allows programmers to define custom weighting\nfunctions. Designed for ecologists, geographers, and spatial\nanalysts working with spatially-structured data.",
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  "Date/Publication": "2026-03-06 19:03:47 UTC",
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      "title": "pMEM: Predictive Moran's Eigenvector Maps for Spatial Modeling",
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      "title": "SEMap: Spatial EigenMap Class for Predictive Moran's Eigenvector Maps",
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        "as.matrix.SEMap",
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