
Package index
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predict(<ww_area_of_applicability>) - Predict from a
ww_area_of_applicability -
ww_area_of_applicability() - Find the area of applicability
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ww_multi_scale() - Evaluate metrics at multiple scales of aggregation
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ww_global_moran_i()ww_global_moran_i_vec()ww_global_moran_pvalue()ww_global_moran_pvalue_vec() - Global Moran's I statistic
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ww_local_moran_i()ww_local_moran_i_vec()ww_local_moran_pvalue()ww_local_moran_pvalue_vec() - Local Moran's I statistic
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ww_global_geary_c()ww_global_geary_c_vec()ww_global_geary_pvalue()ww_global_geary_pvalue_vec() - Global Geary's C statistic
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ww_local_geary_c()ww_local_geary_c_vec()ww_local_geary_pvalue()ww_local_geary_pvalue_vec() - Local Geary's C statistic
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ww_local_getis_ord_g()ww_local_getis_ord_g_vec()ww_local_getis_ord_g_pvalue()ww_local_getis_ord_g_pvalue_vec() - Local Getis-Ord G and G* statistic
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ww_agreement_coefficient()ww_agreement_coefficient_vec()ww_systematic_agreement_coefficient()ww_systematic_agreement_coefficient_vec()ww_unsystematic_agreement_coefficient()ww_unsystematic_agreement_coefficient_vec()ww_unsystematic_mpd()ww_unsystematic_mpd_vec()ww_systematic_mpd()ww_systematic_mpd_vec()ww_unsystematic_rmpd()ww_unsystematic_rmpd_vec()ww_systematic_rmpd()ww_systematic_rmpd_vec() - Agreement coefficients and related methods
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ww_willmott_d()ww_willmott_d_vec()ww_willmott_d1()ww_willmott_d1_vec()ww_willmott_dr()ww_willmott_dr_vec()ww_systematic_mse()ww_systematic_mse_vec()ww_unsystematic_mse()ww_unsystematic_mse_vec()ww_systematic_rmse()ww_systematic_rmse_vec()ww_unsystematic_rmse()ww_unsystematic_rmse_vec() - Willmott's d and related values
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ww_build_neighbors() - Make 'nb' objects from sf objects
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ww_build_weights() - Build "listw" objects of spatial weights
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ww_make_point_neighbors() - Make 'nb' objects from point geometries
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ww_make_polygon_neighbors() - Make 'nb' objects from polygon geometries
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guerry - Guerry "Moral Statistics" (1830s)
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ny_trees - Number of trees and aboveground biomass for Forest Inventory and Analysis plots in New York State
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worldclim_simulation - Simulated data based on WorldClim Bioclimatic variables