Methods for Assessing Spatial Models


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Documentation for package ‘waywiser’ version 0.2.0

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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
ww_area_of_applicability.data.frame Find the area of applicability
ww_area_of_applicability.formula Find the area of applicability
ww_area_of_applicability.matrix Find the area of applicability
ww_area_of_applicability.recipe Find the area of applicability
ww_area_of_applicability.rset Find the area of applicability
ww_build_neighbors Make 'nb' objects from sf objects
ww_build_weights Build "listw" objects of spatial weights
ww_global_geary Global Geary's C statistic
ww_global_geary_c Global Geary's C statistic
ww_global_geary_c_vec Global Geary's C statistic
ww_global_geary_pvalue Global Geary's C statistic
ww_global_geary_pvalue_vec Global Geary's C statistic
ww_global_moran Global Moran's I statistic
ww_global_moran_i Global Moran's I statistic
ww_global_moran_i_vec Global Moran's I statistic
ww_global_moran_pvalue Global Moran's I statistic
ww_global_moran_pvalue_vec Global Moran's I statistic
ww_local_geary Local Geary's C statistic
ww_local_geary_c Local Geary's C statistic
ww_local_geary_c_vec Local Geary's C statistic
ww_local_geary_pvalue Local Geary's C statistic
ww_local_geary_pvalue_vec Local Geary's C statistic
ww_local_getis_ord Local Getis-Ord G and G* statistic
ww_local_getis_ord_g Local Getis-Ord G and G* statistic
ww_local_getis_ord_g_vec Local Getis-Ord G and G* statistic
ww_local_getis_ord_pvalue Local Getis-Ord G and G* statistic
ww_local_getis_ord_pvalue_vec Local Getis-Ord G and G* statistic
ww_local_moran Local Moran's I statistic
ww_local_moran_i Local Moran's I statistic
ww_local_moran_i_vec Local Moran's I statistic
ww_local_moran_pvalue Local Moran's I statistic
ww_local_moran_pvalue_vec Local Moran's I statistic
ww_make_point_neighbors Make 'nb' objects from point geometries
ww_make_polygon_neighbors Make 'nb' objects from polygon geometries