|
annulus.matrix()
|
Annulus matrix |
|
ants
|
Ant Biodiversity Data |
|
background()
|
Background sample |
|
bearing.distance()
|
Bearing and Distance |
|
breeding.density()
|
Breeding density areas (aka, core habitat areas) |
|
built.index()
|
built index |
|
cgls_urls()
|
Provide URL's for Copernicus Global Land Service datasets |
|
chae()
|
Canine-Human Age Equivalent |
|
chen
|
Cross-correlation data from Chen (2015) |
|
class.comparison()
|
Class comparison between two nominal rasters |
|
classBreaks()
|
Class breaks |
|
collinear()
|
Collinearity test |
|
combine()
|
raster combine |
|
concordance()
|
Concordance test for binomial models |
|
conf.interval()
|
Confidence interval for mean or median |
|
convexHull()
|
Alpha Convex Hull |
|
cor.data
|
Various correlation structures |
|
correlogram()
|
Correlogram |
|
cross.tab()
|
Class comparison between two nominal rasters |
|
crossCorrelation()
|
Spatial cross correlation |
|
csi()
|
Cosine Similarity Index |
|
curvature()
|
Surface curvature |
|
dahi()
|
Diurnal Anisotropic Heat Index |
|
date_seq()
|
date sequence |
|
daymet.point()
|
DAYMET point values |
|
daymet.tiles()
|
DAYMET Tile ID's |
|
DAYMET_tiles
|
DAYMET climate tile index |
|
dispersion()
|
Dispersion (H-prime) |
|
dissection()
|
Dissection |
|
divergence()
|
divergence |
|
download.daymet()
|
Download DAYMET |
|
download.hansen()
|
Download Hansen Forest 2000-2013 Change |
|
download.prism()
|
Download PRISM |
|
effect.size()
|
Cohen's-d effect size |
|
elev
|
Elevation raster |
|
erase.point()
|
Erase points |
|
explode()
|
Explodes multipart features |
|
extract.vertices()
|
Extract vertices for polygons or lines |
|
focal.lmetrics()
|
Focal landscape metrics |
|
fuzzySum()
|
Fuzzy Sum |
|
gaussian.kernel()
|
Gaussian Kernel |
|
geo.buffer()
|
Buffer geographic data |
|
group.pdf()
|
Probability density plot by group |
|
hexagons()
|
Hexagons |
|
hli()
|
Heat Load Index |
|
hsp()
|
Hierarchical Slope Position |
|
hybrid.kmeans()
|
Hybrid K-means |
|
idw.smoothing()
|
Inverse Distance Weighted smoothing |
|
impute.loess()
|
Impute loess |
|
insert()
|
Insert a row or column into a data.frame |
|
insert.values()
|
Insert Values |
|
is.empty()
|
is.empty |
|
is.whole()
|
is.whole |
|
kde.2D()
|
2-dimensional kernel density estimate |
|
kendall()
|
Kendall tau trend with continuity correction for time-series |
|
kl.divergence()
|
Kullback-Leibler divergence (relative entropy) |
|
knn()
|
Spatial K nearest neighbor |
|
land.metrics()
|
Landscape metrics for points and polygons |
|
local.min.max()
|
Local minimum and maximum |
|
loess.boot()
|
Loess Bootstrap |
|
loess.ci()
|
Loess with confidence intervals |
|
logistic.regression()
|
Logistic and Auto-logistic regression |
|
max_extent()
|
Maximum extent of multiple rasters |
|
moments()
|
moments |
|
morans.plot()
|
Autocorrelation Plot |
|
mwCorr()
|
Dutilleul moving window bivariate raster
correlation |
|
nni()
|
Average Nearest Neighbor Index (NNI) |
|
nth.values()
|
Nth values |
|
o.ring()
|
Inhomogeneous O-ring |
|
oli.asw()
|
Query AWS-OLI |
|
optimal.k()
|
optimalK |
|
optimized.sample.variance()
|
Optimized sample variance |
|
outliers()
|
Outliers |
|
overlap()
|
Niche overlap (Warren's-I) |
|
parea.sample()
|
Percent area sample |
|
parse.bits()
|
Parse bits |
|
partial.cor()
|
Partial and Semi-partial correlation |
|
plot(<effect.size>)
|
Plot effect size |
|
plot(<loess.boot>)
|
Plot Loess Bootstrap |
|
point.in.poly()
|
Point and Polygon Intersect |
|
poly.regression()
|
Local Polynomial Regression |
|
polygon_extract()
|
polygon raster extract |
|
polyPerimeter()
|
Polygon perimeter |
|
pp.subsample()
|
Point process random subsample |
|
print(<cross.cor>)
|
Print spatial cross correlation |
|
print(<effect.size>)
|
Print effect size |
|
print(<loess.boot>)
|
Print Loess bootstrap model |
|
proximity.index()
|
Proximity Index |
|
pseudo.absence()
|
Pseudo-absence random samples |
|
pu
|
Biodiversity Planning Units |
|
quadrats()
|
Quadrats |
|
random.raster()
|
Random raster |
|
raster.change()
|
Raster change between two nominal rasters |
|
raster.deviation()
|
Raster local deviation from the global trend |
|
raster.downscale()
|
Raster Downscale |
|
raster.entropy()
|
Raster Entropy |
|
raster.gaussian.smooth()
|
Gaussian smoothing of raster |
|
raster.invert()
|
Invert raster |
|
raster.kendall()
|
Kendall tau trend with continuity correction for raster time-series |
|
raster.mds()
|
Raster multidimensional scaling (MDS) |
|
raster.modified.ttest()
|
Dutilleul moving window bivariate raster correlation |
|
raster.moments()
|
Raster moments |
|
raster.transformation()
|
Statistical transformation for rasters |
|
raster.vol()
|
Raster Percent Volume |
|
raster.Zscore()
|
Modified z-score for a raster |
|
rasterCorrelation()
|
Raster correlation |
|
rasterDistance()
|
Raster Distance |
|
remove.holes()
|
Remove polygon holes |
|
rm.ext()
|
Remove extension |
|
rotate.polygon()
|
Rotate polygon |
|
sa.trans()
|
Trigonometric transformation of a slope and aspect interaction |
|
sample.annulus()
|
Sample annulus |
|
sample.line()
|
Systematic or random point sample of line(s) |
|
sample.poly()
|
Sample Polygons |
|
sampleTransect()
|
Sample transect |
|
sar()
|
Surface Area Ratio |
|
se.news()
|
spatialEco news |
|
separability()
|
separability |
|
sg.smooth()
|
Savitzky-Golay smoothing filter |
|
shannons()
|
Shannon's Diversity (Entropy) Index |
|
shift()
|
shift |
|
similarity()
|
Ecological similarity |
|
smooth.time.series()
|
Smooth Raster Time-series |
|
sobal()
|
Sobel-Feldman operator |
|
sp.kde()
|
Spatial kernel density estimate |
|
sp.na.omit()
|
sp na.omit |
|
spatial.select()
|
Spatial Select |
|
spectral.separability()
|
spectral separability |
|
spherical.sd()
|
Spherical Variance or Standard Deviation of Surface |
|
srr()
|
Surface Relief Ratio |
|
stratified.random()
|
Stratified random sample |
|
subsample.distance()
|
Distance-based subsampling |
|
summary(<cross.cor>)
|
Summary of spatial cross correlation |
|
summary(<effect.size>)
|
Summarizing effect size |
|
summary(<loess.boot>)
|
Summarizing Loess bootstrap models |
|
swvi()
|
Senescence weighted Vegetation Index (swvi) |
|
time_to_event()
|
Time to event |
|
topo.distance()
|
Topographic distance |
|
tpi()
|
Topographic Position Index (tpi) |
|
trasp()
|
Solar-radiation Aspect Index |
|
trend.line()
|
trend.line |
|
tri()
|
Terrain Ruggedness Index |
|
vrm()
|
Vector Ruggedness Measure (VRM) |
|
winsorize()
|
Winsorize transformation |
|
wt.centroid()
|
Weighted centroid |
|
zonal.stats()
|
zonal.stats |