Package: landscapemetrics 2.2.2

Maximilian H.K. Hesselbarth

landscapemetrics: Landscape Metrics for Categorical Map Patterns

Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.fragstats.org/>) and new ones from the current literature on landscape metrics. This package supports 'terra' SpatRaster objects as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.

Authors:Maximilian H.K. Hesselbarth [aut, cre], Marco Sciaini [aut], Jakub Nowosad [aut], Sebastian Hanss [aut], Laura J. Graham [ctb], Jeffrey Hollister [ctb], Kimberly A. With [ctb], Florian Privé [ctb], Project Nayuki [ctb], Matt Strimas-Mackey [ctb]

# Install 'landscapemetrics' in R:

install.packages('landscapemetrics', repos = c('https://r-spatialecology.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/r-spatialecology/landscapemetrics/issues

Pkgdown/docs site:https://r-spatialecology.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

augusta_nlcd - Augusta NLCD 2011
landscape - Example map (random cluster neutral landscape model).
lsm_abbreviations_names - Tibble of abbreviations coming from FRAGSTATS
podlasie_ccilc - Podlasie ESA CCI LC

On CRAN:

landscape-ecology landscape-metrics raster spatial cpp

12.07 score 260 stars 8 packages 670 scripts 2.6k downloads 12 mentions 171 exports 25 dependencies

Last updated from:9e777a5c5e. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	263
linux-devel-x86_64	OK	276
source / vignettes	OK	308
linux-release-arm64	OK	269
linux-release-x86_64	OK	272
macos-release-arm64	OK	223
macos-release-x86_64	OK	410
macos-oldrel-arm64	OK	217
macos-oldrel-x86_64	OK	463
windows-devel	OK	281
windows-release	OK	275
windows-oldrel	OK	284
wasm-release	FAIL	149

Exports:calculate_correlation calculate_lsm check_landscape construct_buffer data_info extract_lsm get_adjacencies get_area_patches get_boundaries get_centroids get_circumscribingcircle get_class_patches get_complexity get_enn_patch get_nearestneighbour get_patches get_perimeter_patch get_points get_unique_values landscape_as_list list_lsm lsm_c_ai lsm_c_area_cv lsm_c_area_mn lsm_c_area_sd lsm_c_ca lsm_c_cai_cv lsm_c_cai_mn lsm_c_cai_sd lsm_c_circle_cv lsm_c_circle_mn lsm_c_circle_sd lsm_c_clumpy lsm_c_cohesion lsm_c_contig_cv lsm_c_contig_mn lsm_c_contig_sd lsm_c_core_cv lsm_c_core_mn lsm_c_core_sd lsm_c_cpland lsm_c_dcad lsm_c_dcore_cv lsm_c_dcore_mn lsm_c_dcore_sd lsm_c_division lsm_c_ed lsm_c_enn_cv lsm_c_enn_mn lsm_c_enn_sd lsm_c_frac_cv lsm_c_frac_mn lsm_c_frac_sd lsm_c_gyrate_cv lsm_c_gyrate_mn lsm_c_gyrate_sd lsm_c_iji lsm_c_lpi lsm_c_lsi lsm_c_mesh lsm_c_ndca lsm_c_nlsi lsm_c_np lsm_c_pafrac lsm_c_para_cv lsm_c_para_mn lsm_c_para_sd lsm_c_pd lsm_c_pladj lsm_c_pland lsm_c_shape_cv lsm_c_shape_mn lsm_c_shape_sd lsm_c_split lsm_c_tca lsm_c_te lsm_l_ai lsm_l_area_cv lsm_l_area_mn lsm_l_area_sd lsm_l_cai_cv lsm_l_cai_mn lsm_l_cai_sd lsm_l_circle_cv lsm_l_circle_mn lsm_l_circle_sd lsm_l_cohesion lsm_l_condent lsm_l_contag lsm_l_contig_cv lsm_l_contig_mn lsm_l_contig_sd lsm_l_core_cv lsm_l_core_mn lsm_l_core_sd lsm_l_dcad lsm_l_dcore_cv lsm_l_dcore_mn lsm_l_dcore_sd lsm_l_division lsm_l_ed lsm_l_enn_cv lsm_l_enn_mn lsm_l_enn_sd lsm_l_ent lsm_l_frac_cv lsm_l_frac_mn lsm_l_frac_sd lsm_l_gyrate_cv lsm_l_gyrate_mn lsm_l_gyrate_sd lsm_l_iji lsm_l_joinent lsm_l_lpi lsm_l_lsi lsm_l_mesh lsm_l_msidi lsm_l_msiei lsm_l_mutinf lsm_l_ndca lsm_l_np lsm_l_pafrac lsm_l_para_cv lsm_l_para_mn lsm_l_para_sd lsm_l_pd lsm_l_pladj lsm_l_pr lsm_l_prd lsm_l_relmutinf lsm_l_rpr lsm_l_shape_cv lsm_l_shape_mn lsm_l_shape_sd lsm_l_shdi lsm_l_shei lsm_l_sidi lsm_l_siei lsm_l_split lsm_l_ta lsm_l_tca lsm_l_te lsm_p_area lsm_p_cai lsm_p_circle lsm_p_contig lsm_p_core lsm_p_enn lsm_p_frac lsm_p_gyrate lsm_p_ncore lsm_p_para lsm_p_perim lsm_p_shape matrix_to_raster options_landscapemetrics pad_raster points_as_mat prepare_extras proj_info raster_to_points rcpp_get_nearest_neighbor sample_lsm scale_sample show_cores show_correlation show_lsm show_patches spatialize_lsm unpad_raster window_lsm

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle magrittr pillar pkgconfig R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales terra tibble utf8 vctrs viridisLite withr

Get started

Design | Checking your landscape | Using landscapemetrics | Using landscapemetrics in a tidy workflow | Use multiple metric functions

Rendered fromget_started.Rmdusingknitr::rmarkdown

Last update: 2023-03-30
Started: 2021-12-08

Help page	Topics
Augusta NLCD 2011	augusta_nlcd
Calculate correlation	calculate_correlation
calculate_lsm	calculate_lsm
Check input landscape	check_landscape
extract_lsm	extract_lsm
get_adjacencies	get_adjacencies
get_boundaries	get_boundaries
get_centroids	get_centroids
get_circumscribingcircle	get_circumscribingcircle
get_nearestneighbour	get_nearestneighbour
get_patches	get_patches
get_unique_values	get_unique_values
Example map (random cluster neutral landscape model).	landscape
Landscape as list	landscape_as_list landscape_as_list.list landscape_as_list.matrix landscape_as_list.numeric landscape_as_list.PackedSpatRaster landscape_as_list.RasterBrick landscape_as_list.RasterLayer landscape_as_list.RasterStack landscape_as_list.SpatRaster landscape_as_list.stars
List landscape metrics	list_lsm
Tibble of abbreviations coming from FRAGSTATS	lsm_abbreviations_names
AI (class level)	lsm_c_ai
AREA_CV (class level)	lsm_c_area_cv
AREA_MN (class level)	lsm_c_area_mn
AREA_SD (class level)	lsm_c_area_sd
CA (class level)	lsm_c_ca
CAI_CV (class level)	lsm_c_cai_cv
CAI_MN (class level)	lsm_c_cai_mn
CAI_SD (class level)	lsm_c_cai_sd
CIRCLE_CV (Class level)	lsm_c_circle_cv
CIRCLE_MN (Class level)	lsm_c_circle_mn
CIRCLE_SD (Class level)	lsm_c_circle_sd
CLUMPY (class level)	lsm_c_clumpy
COHESION (class level)	lsm_c_cohesion
CONTIG_CV (class level)	lsm_c_contig_cv
CONTIG_MN (class level)	lsm_c_contig_mn
CONTIG_SD (class level)	lsm_c_contig_sd
CORE_CV (class level)	lsm_c_core_cv
CORE_MN (class level)	lsm_c_core_mn
CORE_SD (class level)	lsm_c_core_sd
CPLAND (class level)	lsm_c_cpland
DCAD (class level)	lsm_c_dcad
DCORE_CV (class level)	lsm_c_dcore_cv
DCORE_MN (class level)	lsm_c_dcore_mn
DCORE_SD (class level)	lsm_c_dcore_sd
DIVISION (class level)	lsm_c_division
ED (class level)	lsm_c_ed
ENN_CV (class level)	lsm_c_enn_cv
ENN_MN (class level)	lsm_c_enn_mn
ENN_SD (class level)	lsm_c_enn_sd
FRAC_CV (class level)	lsm_c_frac_cv
FRAC_MN (class level)	lsm_c_frac_mn
FRAC_SD (class level)	lsm_c_frac_sd
GYRATE_CV (class level)	lsm_c_gyrate_cv
GYRATE_MN (class level)	lsm_c_gyrate_mn
GYRATE_SD (class level)	lsm_c_gyrate_sd
Interspersion and Juxtaposition index (class level)	lsm_c_iji
LPI (class level)	lsm_c_lpi
LSI (class level)	lsm_c_lsi
MESH (class level)	lsm_c_mesh
NDCA (class level)	lsm_c_ndca
nLSI (class level)	lsm_c_nlsi
NP (class level)	lsm_c_np
PAFRAC (class level)	lsm_c_pafrac
PARA_CV (class level)	lsm_c_para_cv
PARA_MN (class level)	lsm_c_para_mn
PARA_SD (class level)	lsm_c_para_sd
PD (class level)	lsm_c_pd
PLADJ (class level)	lsm_c_pladj
PLAND (class level)	lsm_c_pland
SHAPE_CV (class level)	lsm_c_shape_cv
SHAPE_MN (class level)	lsm_c_shape_mn
SHAPE_SD (class level)	lsm_c_shape_sd
SPLIT (class level)	lsm_c_split
TCA (class level)	lsm_c_tca
TE (class level)	lsm_c_te
AI (landscape level)	lsm_l_ai
AREA_CV (landscape level)	lsm_l_area_cv
AREA_MN (landscape level)	lsm_l_area_mn
AREA_SD (landscape level)	lsm_l_area_sd
CAI_CV (landscape level)	lsm_l_cai_cv
CAI_MN (landscape level)	lsm_l_cai_mn
CAI_SD (landscape level)	lsm_l_cai_sd
CIRCLE_CV (landscape level)	lsm_l_circle_cv
CIRCLE_MN (landscape level)	lsm_l_circle_mn
CIRCLE_SD (landscape level)	lsm_l_circle_sd
COHESION (landscape level)	lsm_l_cohesion
Conditional entropy (landscape level)	lsm_l_condent
CONTAG (landscape level)	lsm_l_contag
CONTIG_CV (landscape level)	lsm_l_contig_cv
CONTIG_MN (landscape level)	lsm_l_contig_mn
CONTIG_SD (landscape level)	lsm_l_contig_sd
CORE_CV (landscape level)	lsm_l_core_cv
CORE_MN (landscape level)	lsm_l_core_mn
CORE_SD (landscape level)	lsm_l_core_sd
DCAD (landscape level)	lsm_l_dcad
DCORE_CV (landscape level)	lsm_l_dcore_cv
DCORE_MN (landscape level)	lsm_l_dcore_mn
DCORE_SD (landscape level)	lsm_l_dcore_sd
DIVISION (landscape level)	lsm_l_division
ED (landscape level)	lsm_l_ed
ENN_CV (landscape level)	lsm_l_enn_cv
ENN_MN (landscape level)	lsm_l_enn_mn
ENN_SD (landscape level)	lsm_l_enn_sd
ENT (landscape level)	lsm_l_ent
FRAC_CV (landscape level)	lsm_l_frac_cv
FRAC_MN (landscape level)	lsm_l_frac_mn
FRAC_SD (landscape level)	lsm_l_frac_sd
GYRATE_CV (landscape level)	lsm_l_gyrate_cv
GYRATE_MN (landscape level)	lsm_l_gyrate_mn
GYRATE_SD (landscape level)	lsm_l_gyrate_sd
Interspersion and Juxtaposition index (landscape level)	lsm_l_iji
JOINENT (landscape level)	lsm_l_joinent
LPI (landscape level)	lsm_l_lpi
LSI (landscape level)	lsm_l_lsi
MESH (landscape level)	lsm_l_mesh
MSIDI (landscape level)	lsm_l_msidi
MSIEI (landscape level)	lsm_l_msiei
MUTINF (landscape level)	lsm_l_mutinf
NDCA (landscape level)	lsm_l_ndca
NP (landscape level)	lsm_l_np
PAFRAC (landscape level)	lsm_l_pafrac
PARA_CV (landscape level)	lsm_l_para_cv
PARA_MN (landscape level)	lsm_l_para_mn
PARA_SD (landscape level)	lsm_l_para_sd
PD (landscape level)	lsm_l_pd
PLADJ (landscape level)	lsm_l_pladj
PR (landscape level)	lsm_l_pr
PRD (landscape level)	lsm_l_prd
RELMUTINF (landscape level)	lsm_l_relmutinf
RPD (landscape level)	lsm_l_rpr
SHAPE_CV (landscape level)	lsm_l_shape_cv
SHAPE_MN (landscape level)	lsm_l_shape_mn
SHAPE_SD (landscape level)	lsm_l_shape_sd
SHDI (landscape level)	lsm_l_shdi
SHEI (landscape level)	lsm_l_shei
SIDI (landscape level)	lsm_l_sidi
SIEI (landscape level)	lsm_l_siei
SPLIT (landscape level)	lsm_l_split
TA (landscape level)	lsm_l_ta
TCA (landscape level)	lsm_l_tca
TE (landscape level)	lsm_l_te
AREA (patch level)	lsm_p_area
CAI (patch level)	lsm_p_cai
CIRCLE (patch level)	lsm_p_circle
CONTIG (patch level)	lsm_p_contig
CORE (patch level)	lsm_p_core
ENN (patch level)	lsm_p_enn
FRAC (patch level)	lsm_p_frac
GYRATE (patch level)	lsm_p_gyrate
NCORE (patch level)	lsm_p_ncore
PARA (patch level)	lsm_p_para
PERIM (patch level)	lsm_p_perim
SHAPE (patch level)	lsm_p_shape
options_landscapemetrics	options_landscapemetrics
Podlasie ESA CCI LC	podlasie_ccilc
sample_lsm	sample_lsm
scale_sample	scale_sample
Show core area	show_cores
Show correlation	show_correlation
Show landscape metrics	show_lsm
Show patches	show_patches
spatialize_lsm	spatialize_lsm
window_lsm	window_lsm

Package: landscapemetrics 2.2.2

landscapemetrics: Landscape Metrics for Categorical Map Patterns

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