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shar (version 2.3.1)

Species-Habitat Associations

Description

Analyse species-habitat associations in R. Therefore, information about the location of the species (as a point pattern) is needed together with environmental conditions (as a categorical raster). To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) and Harms et al. (2001) .

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Version

Install

install.packages('shar')

Monthly Downloads

272

Version

2.3.1

License

GPL (>= 3)

Maintainer

Maximillian H.K. Hesselbarth

Last Published

January 10th, 2025

Functions in shar (2.3.1)

plot.rd_multi

plot.rd_multi
randomize_raster

randomize_raster
list_to_randomized

list_to_randomized
print.rd_pat

print.rd_pat
plot.rd_mar

plot.rd_mar
reconstruct_algorithm

reconstruct_algorithm
results_habitat_association

results_habitat_association
reconstruct_pattern_multi

reconstruct_pattern_multi
translate_raster

translate_raster
select_kernel

select_kernel
unpack_randomized

unpack_randomized
pack_randomized

pack_randomized
to_dummy

dummy_transf
sample_randomized

sample_randomized
reconstruct_pattern

reconstruct_pattern
reconstruct_pattern_marks

reconstruct_pattern_marks
species_b

Species b
print.rd_ras

print.rd_ras
shar

Package description
species_a

Species a
calc_moments

calc_moments
calculate_energy

calculate_energy
classify_habitats

classify_habitats
fit_point_process

fit_point_process
plot_energy

plot_energy
print.rd_mar

print.rd_mar
plot.rd_ras

plot.rd_ras
plot.rd_pat

plot.rd_pat
calc_gest

calc_gest
compute_statistics

compute_statistics
landscape

Example landscape (random cluster neutral landscape model).
classint_to_vector

classint_to_vector
create_neighbourhood

create_neighbourhood
extract_points

extract_points
get_dist_pairs

get_dist_pairs
Energy_fun

energy_fun