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Loading & conversion

Read point and gridded data into xts / sxts.

nc2xts()
nc2xts
nc2xts_nn()
nc2xts_nn
delim2xts()
delim2xts

The sxts class & spatial operations

The spatial-xts class, its accessors, and native spatial operations.

sxts() str(<sxts>) summary(<sxts>) print(<sxts>) attributes.sxts() coords(<sxts>) projection(<sxts>) elements(<sxts>) `[`(<sxts>) is.sxts() lag(<sxts>) diff(<sxts>) Ops(<sxts>) rasterFromSxts(<sxts>) sxtsFromRaster()
Spatial xts (sxts) class
coords()
Spatial coordinates of an sxts object
projection()
Coordinate reference system of an sxts object
elements()
Number of spatial locations in an sxts object
mask.sxts()
Spatial masking of sxts objects
zonal_stats()
Aggregate sxts over shapefile polygons (zonal statistics)
rasterFromSxts()
Convert sxts to RasterBrick
rbindlist.sxts()
Fast row-bind of a list of sxts objects

Summary statistics

Per-series and per-cell summary statistics, including L-moments.

basic_stats()
Basic statistics and diagnostic panel for time series data
basic_stats_nc()
Compute basic statistics for gridded (NetCDF or raster) data
lmom_stats()
L-Moment Statistics
period_stats()
Period-based summary statistics
monthly_stats()
monthly_stats
monthly_stats_nc()
monthly_stats_nc
check_missing()
Check for missing values in time series data by period

Aggregation & transforms

Temporal aggregation and value transformations.

aggregate_xts()
Aggregate an xts time series to coarser temporal scales
period_apply_nc()
Temporal aggregation of gridded data
normalise_xts()
normalise_xts

Distribution fitting

L-moment fitting, goodness of fit, and L-ratio diagnostics.

fitlm_multi()
Multi-Distribution Fitting
fitlm_nc()
Distribution Fitting on Gridded Data
fitlm_nxts()
Fit Distributions to Multiple Time Series
fitlm_monthly()
Monthly Distribution Fitting
fitlm_monthly_nc()
Monthly Distribution Fitting on Gridded Data
fitlm_exp()
fitlm_exp
fitlm_rayleigh()
fitlm_rayleigh
fitlm_gamma()
fitlm_gamma
fitlm_gamma3()
fitlm_gamma3
fitlm_genlogi()
fitlm_genlogi
fitlm_norm()
fitlm_norm
fitlm_weibull()
fitlm_weibull
fitlm_gumbel()
fitlm_gumbel
fitlm_lognorm()
fitlm_lognorm
fitlm_gev()
fitlm_gev
fitlm_GPD()
fitlm_GPD
fitlm_gengamma()
fitlm_gengamma
fitlm_gengamma_loc()
fitlm_gengamma_loc
fitlm_burr()
fitlm_burr
fitlm_dagum()
fitlm_dagum
fitlm_expweibull()
fitlm_expweibull
LRatio_check()
Check Sample L-Ratios Against Distribution Support
fit_diagnostics()
Diagnostics for a Fitted Distribution

Autocorrelation

Sample and theoretical autocorrelation structures (CAS, HK, SRD).

fit_ACF()
fit_ACF
fit_ACF_monthly()
fit_ACF_monthly
CAS_ACF() HK_ACF() SRD_ACF()
Theoretical autocorrelation functions

Visualization

ggplot2-based maps, diagnostics and seasonal plots.

nc_ggplot()
nc_ggplot
correl_plots()
correl_plots
monthly_boxplots()
Monthly Boxplots
monthly_violins()
monthly_violins
monthly_ecdf()
Monthly Empirical CDF Grid
monthly_fdiagnostics()
Monthly Distribution Diagnostics
ridge_plots()
Ridge density plots for time series
plot_missing()
Plot missing value positions

Distribution functions (d / p / q / r)

Density, distribution, quantile and random-generation functions.

dexp() pexp() qexp() rexp()
Exponential Distribution
drayleigh() prayleigh() qrayleigh() rrayleigh()
Rayleigh Distribution
dgamma() pgamma() qgamma() rgamma()
Gamma Distribution
dnorm() pnorm() qnorm() rnorm()
Normal Distribution
dlognorm() plognorm() qlognorm() rlognorm()
Log-Normal Distribution
dgenlogi() pgenlogi() qgenlogi()
Generalized Logistic Distribution
dweibull() pweibull() qweibull() rweibull()
3-parameter Weibull Distribution
dgumbel() pgumbel() qgumbel() rgumbel()
Gumbel Distribution
dgamma3() pgamma3() qgamma3() rgamma3()
3-parameter Gamma Distribution
dgev() pgev() qgev() rgev()
Generalized Extreme Value Distribution
dgpd() pgpd() qgpd() rgpd()
Generalized Pareto Distribution
dgengamma() pgengamma() qgengamma() rgengamma()
Generalized Gamma Distribution
pgengamma_loc() dgengamma_loc() qgengamma_loc() rgengamma_loc()
Generalized Gamma with Location Distribution
dburr() pburr() qburr() rburr()
Burr Type XII Distribution
pdagum() ddagum() qdagum() rdagum()
Dagum Distribution
pexpweibull() dexpweibull() qexpweibull() rexpweibull()
Exponential Weibull Distribution

Datasets

Data bundled with the package.

world_data
World country and continent boundary polygons