Package index • vectormetrics

All functions

calculate_vm(): Calculate multiple vectormetrics at once
clc: CORINE Land Cover for Poznan.
get_axes(): Get major and minor axis
get_circum_diam(): Diameter of smallest circumscribing circle(vector data)
get_eac_perim(): Perimeter of equal-area circle(vector data)
get_hull_area(): Area of the convex hull(vector data)
get_hull_perim(): Perimeter of the convex hull(vector data)
get_polygon_patches(): Get patches from polygon landscape
list_vm(): List available metrics in vectormetrics
poz_buildings: Buildings in Poznan
urban_atlas: Land use and land cover from Urban Atlas 2018
vector_landscape: Example map (random cluster neutral landscape model).
vector_patches: vector_landscape object but with exploded multipolygons into polygons
vm_c_area_cv(): The coefficient of variation of all patch areas at class level (vector data)
vm_c_area_mn(): The mean value of all patch areas at class level(vector data)
vm_c_area_sd(): The standard deviation of all patch areas at class level(vector data)
vm_c_ca(): The total area of each class(vector data)
vm_c_cai_cv(): The coefficient of variation of ratio of the core area and the area at class level(vector data)
vm_c_cai_mn(): The mean value of core area index at class level(vector data)
vm_c_cai_sd(): The standard deviation of core area index of all patches at class level(vector data)
vm_c_circ_mn(): Circularity(vector data)
vm_c_circle_cv(): The coefficient of variation of Ratios between the patch area and the smallest circumscribing circle of all patches at class level(vector data)
vm_c_circle_mn(): The mean value of Ratios between the patch area and the smallest circumscribing circle of patches at class level(vector data)
vm_c_circle_sd(): The standard deviation of Ratios between the patch area and the smallest circumscribing circle of patches at class level(vector data)
vm_c_coh_mn(): Cohesion Index(vector data)
vm_c_comp_mn(): Form factor/Compactness(vector data)
vm_c_convex_mn(): Convexity(vector data)
vm_c_core_cv(): The coefficient of variation of each class core areas(vector data)
vm_c_core_mn(): The mean value of all core areas in each class(vector data)
vm_c_core_sd(): The standard deviation of all core areas of each class(vector data)
vm_c_cpland(): Core area percentage of landscape in each class(vector data)
vm_c_dcad(): Disjunct core area density of each class(vector data)
vm_c_dcore_cv(): The coefficient of variation of number of disjunct core areas in each class (vector data)
vm_c_dcore_mn(): The mean value of number of core areas in each class(vector data)
vm_c_dcore_sd(): The standard deviation of the number of disjunct core areas of each class(vector data)
vm_c_detour_mn(): Detour Index(vector data)
vm_c_division(): Landscape division index of each class (vector data)
vm_c_ed(): Edge density(vector data)
vm_c_elong_mn(): Elongation(vector data)
vm_c_enn_cv(): The coefficient of variation of Euclidean Nearest-Neighbor Distance of all patches at class level(vector data)
vm_c_enn_mn(): The mean value of the Euclidean Nearest-Neighbor Distance of patches in each class(vector data)
vm_c_enn_sd(): The standard deviation of Euclidean Nearest-Neighbor Distance of patches in each class(vector data)
vm_c_eri_mn(): Equivalent rectangular index(vector data)
vm_c_exchange_mn(): Exchange Index(vector data)
vm_c_frac_cv(): The coefficient of variation of fractal dimension index of all patches in each class(vector data)
vm_c_frac_mn(): The mean value of the fractal dimension index of all patches in each class(vector data)
vm_c_frac_sd(): The standard deviation of the fractal dimension index of all patches in each class(vector data)
vm_c_fullness(): Fullness Index(vector data)
vm_c_fullness_mn(): Fullness Index(vector data)
vm_c_girth_mn(): Girth Index(vector data)
vm_c_lpi(): Largest patch index(vector data)
vm_c_lsi(): Landscape shape index (vector data)
vm_c_mesh(): Effective Mesh Size (vector data)
vm_c_ndca(): the number of disjunct core area in each class(vector data)
vm_c_np(): the number of patches in each class(vector data)
vm_c_pd(): the patch density in each class(vector data)
vm_c_perarea_cv(): The coefficient of variation of Perimeter-Area ratio index of each class (vector data)
vm_c_perarea_mn(): Perimeter-Area ratio.
vm_c_perarea_sd(): The standard deviation of Perimeter-Area ratio index of all patches at class level(vector data)
vm_c_perim_idx_mn(): Perimeter Index(vector data)
vm_c_pland(): Percentage of landscape of class(vector data)
vm_c_proxim_mn(): Proximity Index(vector data)
vm_c_range_mn(): Range Index(vector data)
vm_c_rect_mn(): Rectangularity(vector data)
vm_c_rough_mn(): Roughness index(vector data)
vm_c_shape_cv(): The coefficient of variation of Shape index of each class (vector data)
vm_c_shape_mn(): The mean value of Shape index of each class (vector data)
vm_c_shape_sd(): The standard deviation of Shape index of each class (vector data)
vm_c_solid_mn(): Solidity(vector data)
vm_c_sphere_mn(): Sphercity(vector data)
vm_c_split(): Splitting index (vector data)
vm_c_square_mn(): Squareness(vector data)
vm_c_tca(): The total core area of each class(vector data)
vm_c_te(): Total (class) edge (vector data)
vm_l_area_mn(): The mean value of all patch areas at landscape level(vector data)
vm_l_cai_mn(): The mean value of core area index at landscape level(vector data)
vm_l_circ_mn(): Circularity(vector data)
vm_l_circle_mn(): The mean value of Ratios between the patch area and the smallest circumscribing circle of patches at class level(vector data)
vm_l_coh_mn(): Cohesion Index(vector data)
vm_l_comp_mn(): Form factor/Compactness(vector data)
vm_l_convex_mn(): Convexity(vector data)
vm_l_core_mn(): The mean value of all core areas in landscape(vector data)
vm_l_dcad(): Disjunct core area density of the whole landscape(vector data)
vm_l_dcore_mn(): The mean value of number of core areas in landscape(vector data)
vm_l_detour_mn(): Detour Index(vector data)
vm_l_division(): Landscape division index (vector data)
vm_l_ed(): ED (landscape level)
vm_l_elong_mn(): Elongation(vector data)
vm_l_eri_mn(): Equivalent rectangular index(vector data)
vm_l_exchange_mn(): Exchange Index(vector data)
vm_l_frac_mn(): The mean value of the fractal dimension index of landscape(vector data)
vm_l_fullness(): Fullness Index(vector data)
vm_l_fullness_mn(): Fullness Index(vector data)
vm_l_girth_mn(): Girth Index(vector data)
vm_l_lpi(): Largest patch index(vector data)
vm_l_lsi(): Landscape shape index (vector data)
vm_l_mesh(): Effective Mesh Size (vector data)
vm_l_msidi(): Modified Simpson's diversity index (vector data)
vm_l_msiei(): Modified Simpson's evenness index (vector data)
vm_l_ndca(): the number of disjunct core area in the whole landscape(vector data)
vm_l_np(): the number of patches in landscape(vector data)
vm_l_pafrac(): Perimeter-Area Fractal Dimension(vector data)
vm_l_pd(): the patch density in the whole landscape(vector data)
vm_l_perarea_mn(): The mean value of all patches Perimeter-Area ratio index at landscape level(vector data)
vm_l_perim_idx_mn(): Perimeter Index(vector data)
vm_l_pr(): Patch richness (vector data)
vm_l_prd(): Patch richness density (vector data)
vm_l_proxim_mn(): Proximity Index(vector data)
vm_l_range_mn(): Range Index(vector data)
vm_l_rect_mn(): Rectangularity(vector data)
vm_l_rough_mn(): Roughness index(vector data)
vm_l_rpr(): Relative patch richness (vector data)
vm_l_shape_mn(): The mean value of Shape index of landscape (vector data)
vm_l_shdi(): Shannon's diversity index (vector data)
vm_l_shei(): Shannons's evenness index (vector data)
vm_l_sidi(): Simpson's diversity index (vector data)
vm_l_siei(): Simpson's evenness index (vector data)
vm_l_solid_mn(): Solidity(vector data)
vm_l_sphere_mn(): Sphercity(vector data)
vm_l_split(): Splitting index (vector data)
vm_l_square_mn(): Squareness(vector data)
vm_l_ta(): The total area of the whole landscape(vector data)
vm_l_tca(): The total core area of the whole landscape(vector data)
vm_l_te(): Total (landscape) edge (vector data)
vm_metrics: Table with all metrics' names and descriptions
vm_p_area(): AREA (patch level)
vm_p_cai(): Core area index(vector data)
vm_p_circ(): Circularity(vector data)
vm_p_circle(): CIRCLE (patch level)
vm_p_coh(): Cohesion Index(vector data)
vm_p_comp(): Form factor/Compactness(vector data)
vm_p_convex(): Convexity(vector data)
vm_p_core(): CORE (patch level)
vm_p_detour(): Detour Index(vector data)
vm_p_elong(): Elongation(vector data)
vm_p_enn(): Euclidean Nearest-Neighbor Distance(vector data)
vm_p_eri(): Equivalent rectangular index(vector data)
vm_p_exchange(): Exchange Index(vector data)
vm_p_frac(): Fractal Dimension Index(vector data)
vm_p_fullness(): Fullness Index(vector data)
vm_p_girth(): Girth Index(vector data)
vm_p_ncore(): the number of disjunct core area(vector data)
vm_p_perarea(): Perimeter-Area ratio.
vm_p_perim(): The perimeter of patch(vector data)
vm_p_perim_idx(): Perimeter Index(vector data)
vm_p_proxim(): Proximity Index(vector data)
vm_p_range(): Range Index(vector data)
vm_p_rect(): Rectangularity(vector data)
vm_p_rough(): Roughness index(vector data)
vm_p_shape(): Shape index(vector data)
vm_p_solid(): Solidity(vector data)
vm_p_sphere(): Sphercity(vector data)
vm_p_square(): Squareness(vector data)