A B C D E F G H I J K L M N O P Q R S T U V W misc
| spatstat.explore-package | The spatstat.explore Package |
| adaptive.density | Adaptive Estimate of Intensity of Point Pattern |
| allstats | Calculate four standard summary functions of a point pattern. |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern |
| apply.ssf | Evaluate Expression in a Spatially Sampled Function |
| as.data.frame.envelope | Coerce Envelope to Data Frame |
| as.function.fv | Convert Function Value Table to Function |
| as.function.rhohat | Convert Function Table to Function |
| as.function.ssf | Methods for Spatially Sampled Functions |
| as.fv | Convert Data To Class fv |
| as.fv.bw.optim | Convert Data To Class fv |
| as.fv.data.frame | Convert Data To Class fv |
| as.fv.fasp | Convert Data To Class fv |
| as.fv.fv | Convert Data To Class fv |
| as.fv.matrix | Convert Data To Class fv |
| as.im.scan.test | Plot Result of Scan Test |
| as.im.ssf | Methods for Spatially Sampled Functions |
| as.owin.quadrattest | Convert Data To Class owin |
| as.ppp.ssf | Methods for Spatially Sampled Functions |
| as.tess.quadrattest | Convert Data To Tessellation |
| auc | Area Under ROC Curve |
| auc.ppp | Area Under ROC Curve |
| berman.test | Berman's Tests for Point Process Model |
| berman.test.ppp | Berman's Tests for Point Process Model |
| bias.envelope | Pointwise Statistics on an Envelope Object |
| bind.fv | Combine Function Value Tables |
| bits.envelope | Global Envelopes for Balanced Independent Two-Stage Test |
| bits.test | Balanced Independent Two-Stage Monte Carlo Test |
| blur | Apply Gaussian Blur to a Pixel Image |
| blurHeat | Diffusion Blur |
| blurHeat.im | Diffusion Blur |
| boyce | Boyce Index |
| bw.abram.ppp | Abramson's Adaptive Bandwidths For Spatial Point Pattern |
| bw.bdh | Adjust Bandwidth Selection Rule to Account for Inhomogeneity |
| bw.CvL | Cronie and van Lieshout's Criterion for Bandwidth Selection for Kernel Density |
| bw.CvL.adaptive | Select Adaptive Bandwidth for Kernel Estimation Using Cronie-Van Lieshout Criterion |
| bw.CvLHeat | Bandwidth Selection for Diffusion Smoother by Cronie-van Lieshout Rule |
| bw.diggle | Cross Validated Bandwidth Selection for Kernel Density |
| bw.frac | Bandwidth Selection Based on Window Geometry |
| bw.optim.object | Class of Optimized Bandwidths |
| bw.pcf | Cross Validated Bandwidth Selection for Pair Correlation Function |
| bw.pcfinhom | Cross Validated Bandwidth Selection for Inhomogeneous Pair Correlation Function |
| bw.ppl | Likelihood Cross Validation Bandwidth Selection for Kernel Density |
| bw.pplHeat | Bandwidth Selection for Diffusion Smoother by Likelihood Cross-Validation |
| bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation |
| bw.relrisk.ppp | Cross Validated Bandwidth Selection for Relative Risk Estimation |
| bw.relriskHeatppp | Bandwidth Selection for Relative Risk using Diffusion |
| bw.scott | Scott's Rule for Bandwidth Selection for Kernel Density |
| bw.scott.iso | Scott's Rule for Bandwidth Selection for Kernel Density |
| bw.smoothppp | Cross Validated Bandwidth Selection for Spatial Smoothing |
| bw.stoyan | Stoyan's Rule of Thumb for Bandwidth for Estimating Pair Correlation |
| cbind.fv | Combine Function Value Tables |
| cdf.test | Spatial Distribution Test for Point Pattern or Point Process Model |
| cdf.test.ppp | Spatial Distribution Test for Point Pattern or Point Process Model |
| circdensity | Density Estimation for Circular Data |
| clarkevans | Clark and Evans Aggregation Index |
| clarkevans.test | Clark and Evans Test |
| clusterset | Allard-Fraley Estimator of Cluster Feature |
| collapse.anylist | Collapse Several Function Tables into One |
| collapse.fv | Collapse Several Function Tables into One |
| compatible.fasp | Test Whether Function Arrays Are Compatible |
| compatible.fv | Test Whether Function Objects Are Compatible |
| compileCDF | Generic Calculation of Cumulative Distribution Function of Distances |
| compileK | Generic Calculation of K Function and Pair Correlation Function |
| compilepcf | Generic Calculation of K Function and Pair Correlation Function |
| Complex.fasp | S3 Group Generic Methods for Function Arrays |
| Complex.fv | S3 Group Generic Methods for Function Tables |
| contour.ssf | Plot a Spatially Sampled Function |
| cor.im | Covariance and Correlation between Images |
| cov.im | Covariance and Correlation between Images |
| dclf.progress | Progress Plot of Test of Spatial Pattern |
| dclf.sigtrace | Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| dclf.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| density.ppp | Kernel Smoothed Intensity of Point Pattern |
| density.ppplist | Kernel Smoothed Intensity of Split Point Pattern |
| density.psp | Kernel Smoothing of Line Segment Pattern |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern |
| densityAdaptiveKernel.ppp | Adaptive Kernel Estimate of Intensity of Point Pattern |
| densityAdaptiveKernel.ppplist | Adaptive Kernel Estimate of Intensity for Split Point Pattern |
| densityAdaptiveKernel.splitppp | Adaptive Kernel Estimate of Intensity for Split Point Pattern |
| densityfun | Kernel Estimate of Intensity as a Spatial Function |
| densityfun.ppp | Kernel Estimate of Intensity as a Spatial Function |
| densityHeat | Diffusion Estimate of Point Pattern Intensity |
| densityHeat.ppp | Diffusion Estimate of Point Pattern Intensity |
| densityVoronoi | Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation |
| densityVoronoi.ppp | Intensity Estimate of Point Pattern Using Voronoi-Dirichlet Tessellation |
| deriv.fv | Calculate Derivative of Function Values |
| dg.envelope | Global Envelopes for Dao-Genton Test |
| dg.progress | Progress Plot of Dao-Genton Test of Spatial Pattern |
| dg.sigtrace | Significance Trace of Dao-Genton Test |
| dg.test | Dao-Genton Adjusted Goodness-Of-Fit Test |
| dimhat | Estimate Dimension of Central Subspace |
| distcdf | Distribution Function of Interpoint Distance |
| domain.quadrattest | Extract the Domain of any Spatial Object |
| edge.Ripley | Ripley's Isotropic Edge Correction |
| edge.Trans | Translation Edge Correction |
| Emark | Diagnostics for random marking |
| envelope | Simulation Envelopes of Summary Function |
| envelope.envelope | Recompute Envelopes |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern |
| envelope.ppp | Simulation Envelopes of Summary Function |
| envelopeArray | Array of Simulation Envelopes of Summary Function |
| eval.fasp | Evaluate Expression Involving Function Arrays |
| eval.fv | Evaluate Expression Involving Functions |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern |
| fasp.object | Function Arrays for Spatial Patterns |
| Fest | Estimate the Empty Space Function or its Hazard Rate |
| Fhazard | Estimate the Empty Space Function or its Hazard Rate |
| Finhom | Inhomogeneous Empty Space Function |
| Fmulti.inhom | Inhomogeneous Marked F-Function |
| FmultiInhom | Inhomogeneous Marked F-Function |
| formula.fv | Extract or Change the Plot Formula for a Function Value Table |
| formula<- | Extract or Change the Plot Formula for a Function Value Table |
| formula<-.fv | Extract or Change the Plot Formula for a Function Value Table |
| fryplot | Fry Plot of Point Pattern |
| frypoints | Fry Plot of Point Pattern |
| fv | Create a Function Value Table |
| fv.object | Function Value Table |
| fvnames | Abbreviations for Groups of Columns in Function Value Table |
| fvnames<- | Abbreviations for Groups of Columns in Function Value Table |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) |
| Gcross.inhom | Inhomogeneous Multitype G Cross Function |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) |
| Gdot.inhom | Inhomogeneous Multitype G Dot Function |
| Gest | Nearest Neighbour Distance Function G |
| Gfox | Foxall's Distance Functions |
| Ginhom | Inhomogeneous Nearest Neighbour Function |
| Gmulti | Marked Nearest Neighbour Distance Function |
| Gmulti.inhom | Inhomogeneous Marked G-Function |
| GmultiInhom | Inhomogeneous Marked G-Function |
| harmonise.fv | Make Function Tables Compatible |
| harmonize.fv | Make Function Tables Compatible |
| Hest | Spherical Contact Distribution Function |
| hopskel | Hopkins-Skellam Test |
| hopskel.test | Hopkins-Skellam Test |
| hotbox | Heat Kernel for a Two-Dimensional Rectangle |
| idw | Inverse-distance weighted smoothing of observations at irregular points |
| Iest | Estimate the I-function |
| image.ssf | Plot a Spatially Sampled Function |
| increment.fv | Increments of a Function |
| integral.fv | Compute Integral of Function Object |
| integral.ssf | Methods for Spatially Sampled Functions |
| ISB.envelope | Mean Integrated Squared Error on an Envelope Object |
| ISE.envelope | Integrated Squared Error on an Envelope Object |
| IV.envelope | Mean Integrated Squared Error on an Envelope Object |
| Jcross | Multitype J Function (i-to-j) |
| Jcross.inhom | Inhomogeneous Multitype J function (i-to-j) |
| Jdot | Multitype J Function (i-to-any) |
| Jdot.inhom | Inhomogeneous Multitype J function (i-to-any) |
| Jest | Estimate the J-function |
| Jfox | Foxall's Distance Functions |
| Jinhom | Inhomogeneous J-function |
| Jmulti | Marked J Function |
| Jmulti.inhom | Inhomogeneous Marked J-Function |
| K3est | K-function of a Three-Dimensional Point Pattern |
| Kcross | Multitype K Function (Cross-type) |
| Kcross.inhom | Inhomogeneous Cross K Function |
| Kdot | Multitype K Function (i-to-any) |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function |
| Kest | K-function |
| Kest.fft | K-function using FFT |
| Kinhom | Inhomogeneous K-function |
| Kmark | Mark-Weighted K Function |
| Kmeasure | Reduced Second Moment Measure |
| Kmulti | Marked K-Function |
| Kmulti.inhom | Inhomogeneous Marked K-Function |
| Kscaled | Locally Scaled K-function |
| Ksector | Sector K-function |
| laslett | Laslett's Transform |
| Lcross | Multitype L-function (cross-type) |
| Lcross.inhom | Inhomogeneous Cross Type L Function |
| Ldot | Multitype L-function (i-to-any) |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function |
| Lest | L-function |
| Linhom | Inhomogeneous L-function |
| localK | Neighbourhood density function |
| localKcross | Local Multitype K Function (Cross-Type) |
| localKcross.inhom | Inhomogeneous Multitype K Function |
| localKdot | Local Multitype K Function (Dot-Type) |
| localKinhom | Inhomogeneous Neighbourhood Density Function |
| localL | Neighbourhood density function |
| localLcross | Local Multitype K Function (Cross-Type) |
| localLcross.inhom | Inhomogeneous Multitype K Function |
| localLdot | Local Multitype K Function (Dot-Type) |
| localLinhom | Inhomogeneous Neighbourhood Density Function |
| localpcf | Local pair correlation function |
| localpcfinhom | Local pair correlation function |
| lohboot | Bootstrap Confidence Bands for Summary Function |
| Lscaled | Locally Scaled K-function |
| mad.progress | Progress Plot of Test of Spatial Pattern |
| mad.sigtrace | Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| mad.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests |
| markconnect | Mark Connection Function |
| markcorr | Mark Correlation Function |
| markcorrint | Mark-Weighted K Function |
| markcrosscorr | Mark Cross-Correlation Function |
| markmarkscatter | Mark-Mark Scatter Plot |
| markmean | Spatial smoothing of observations at irregular points |
| marks.ssf | Methods for Spatially Sampled Functions |
| marks<-.ssf | Methods for Spatially Sampled Functions |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern |
| markvar | Spatial smoothing of observations at irregular points |
| markvario | Mark Variogram |
| Math.fasp | S3 Group Generic Methods for Function Arrays |
| Math.fv | S3 Group Generic Methods for Function Tables |
| max.ssf | Methods for Spatially Sampled Functions |
| mctest.progress | Progress Plot of Test of Spatial Pattern |
| mctest.sigtrace | Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute Deviation Test |
| methods.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| methods.rhohat | Methods for Intensity Functions of Spatial Covariate |
| methods.ssf | Methods for Spatially Sampled Functions |
| min.ssf | Methods for Spatially Sampled Functions |
| miplot | Morisita Index Plot |
| MISE.envelope | Mean Integrated Squared Error on an Envelope Object |
| nearest.neighbour | Nearest Neighbour Distance Function G |
| nnclean | Nearest Neighbour Clutter Removal |
| nnclean.pp3 | Nearest Neighbour Clutter Removal |
| nnclean.ppp | Nearest Neighbour Clutter Removal |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nndensity | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nndensity.ppp | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances |
| nnmean | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| nnorient | Nearest Neighbour Orientation Distribution |
| nnvario | Nearest-Neighbour Correlation Indices of Marked Point Pattern |
| Ops.fasp | S3 Group Generic Methods for Function Arrays |
| Ops.fv | S3 Group Generic Methods for Function Tables |
| pairMean | Mean of a Function of Interpoint Distance |
| pairorient | Point Pair Orientation Distribution |
| pairs.im | Scatterplot Matrix for Pixel Images |
| panel.contour | Panel Plots using Colour Image or Contour Lines |
| panel.histogram | Panel Plots using Colour Image or Contour Lines |
| panel.image | Panel Plots using Colour Image or Contour Lines |
| pcf | Pair Correlation Function |
| pcf.fasp | Pair Correlation Function obtained from array of K functions |
| pcf.fv | Pair Correlation Function obtained from K Function |
| pcf.ppp | Pair Correlation Function of Point Pattern |
| pcf3est | Pair Correlation Function of a Three-Dimensional Point Pattern |
| pcfcross | Multitype pair correlation function (cross-type) |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) |
| pcfdot | Multitype pair correlation function (i-to-any) |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) |
| pcfinhom | Inhomogeneous Pair Correlation Function |
| pcfmulti | Marked pair correlation function |
| plot.bermantest | Plot Result of Berman Test |
| plot.cdftest | Plot a Spatial Distribution Test |
| plot.envelope | Plot a Simulation Envelope |
| plot.fasp | Plot a Function Array |
| plot.fv | Plot Function Values |
| plot.laslett | Plot Laslett Transform |
| plot.quadrattest | Display the result of a quadrat counting test. |
| plot.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| plot.rhohat | Methods for Intensity Functions of Spatial Covariate |
| plot.scan.test | Plot Result of Scan Test |
| plot.ssf | Plot a Spatially Sampled Function |
| plot.studpermutest | Plot a Studentised Permutation Test |
| pool | Pool Data |
| pool.anylist | Pool Data from a List of Objects |
| pool.envelope | Pool Data from Several Envelopes |
| pool.fasp | Pool Data from Several Function Arrays |
| pool.fv | Pool Several Functions |
| pool.quadrattest | Pool Several Quadrat Tests |
| pool.rat | Pool Data from Several Ratio Objects |
| PPversion | Transform a Function into its P-P or Q-Q Version |
| predict.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| predict.rhohat | Methods for Intensity Functions of Spatial Covariate |
| print.rho2hat | Methods for Intensity Functions of Two Spatial Covariates |
| print.rhohat | Methods for Intensity Functions of Spatial Covariate |
| print.ssf | Methods for Spatially Sampled Functions |
| ptwise.envelope | Pointwise Statistics on an Envelope Object |
| QQversion | Transform a Function into its P-P or Q-Q Version |
| quadrat.test | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.ppp | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.quadratcount | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts |
| quadrat.test.splitppp | Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts |
| radcumint | Radial Cumulative Integral |
| range.ssf | Methods for Spatially Sampled Functions |
| rat | Ratio object |
| rectcontact | Contact Distribution Function using Rectangular Structuring Element |
| reload.or.compute | Perform Computations or Retrieve Results From File |
| relrisk | Estimate of Spatially-Varying Relative Risk |
| relrisk.ppp | Nonparametric Estimate of Spatially-Varying Relative Risk |
| relriskHeat | Diffusion Estimate of Conditional Probabilities |
| relriskHeat.ppp | Diffusion Estimate of Conditional Probabilities |
| rho2hat | Smoothed Relative Density of Pairs of Covariate Values |
| rhohat | Nonparametric Estimate of Intensity as Function of a Covariate |
| rhohat.ppp | Nonparametric Estimate of Intensity as Function of a Covariate |
| rhohat.quad | Nonparametric Estimate of Intensity as Function of a Covariate |
| rmax.Ripley | Ripley's Isotropic Edge Correction |
| rmax.Trans | Translation Edge Correction |
| RMSE.envelope | Pointwise Statistics on an Envelope Object |
| roc | Receiver Operating Characteristic |
| roc.ppp | Receiver Operating Characteristic |
| rose | Rose Diagram |
| rose.default | Rose Diagram |
| rose.density | Rose Diagram |
| rose.fv | Rose Diagram |
| rose.histogram | Rose Diagram |
| rotmean | Rotational Average of a Pixel Image |
| scan.test | Spatial Scan Test |
| scanLRTS | Likelihood Ratio Test Statistic for Scan Test |
| sdr | Sufficient Dimension Reduction |
| sdr.ppp | Sufficient Dimension Reduction |
| sdrPredict | Compute Predictors from Sufficient Dimension Reduction |
| segregation.test | Test of Spatial Segregation of Types |
| segregation.test.ppp | Test of Spatial Segregation of Types |
| sharpen | Data Sharpening of Point Pattern |
| sharpen.ppp | Data Sharpening of Point Pattern |
| simulate.rhohat | Methods for Intensity Functions of Spatial Covariate |
| Smooth | Spatial smoothing of data |
| Smooth.fv | Apply Smoothing to Function Values |
| Smooth.im | Apply Gaussian Blur to a Pixel Image |
| Smooth.ppp | Spatial smoothing of observations at irregular points |
| Smooth.ssf | Smooth a Spatially Sampled Function |
| Smoothfun | Smooth Interpolation of Marks as a Spatial Function |
| Smoothfun.ppp | Smooth Interpolation of Marks as a Spatial Function |
| SmoothHeat | Spatial Smoothing of Data by Diffusion |
| SmoothHeat.im | Diffusion Blur |
| SmoothHeat.ppp | Spatial Smoothing of Observations using Diffusion Estimate of Density |
| spatcov | Estimate the Spatial Covariance Function of a Random Field |
| spatialcdf | Spatial Cumulative Distribution Function |
| SpatialMedian | Spatially Weighted Median or Quantile |
| SpatialMedian.ppp | Spatially Weighted Median of Values at Points |
| SpatialQuantile | Spatially Weighted Median or Quantile |
| SpatialQuantile.ppp | Spatially Weighted Quantile of Values at Points |
| spatstat.explore | The spatstat.explore Package |
| ssf | Spatially Sampled Function |
| stienen | Stienen Diagram |
| stienenSet | Stienen Diagram |
| studpermu.test | Studentised Permutation Test |
| subspaceDistance | Distance Between Linear Spaces |
| Summary.fasp | S3 Group Generic Methods for Function Arrays |
| Summary.fv | S3 Group Generic Methods for Function Tables |
| summary.ssf | Methods for Spatially Sampled Functions |
| thresholdCI | Confidence Interval for Threshold of Numerical Predictor |
| thresholdSelect | Select Threshold to Convert Numerical Predictor to Binary Predictor |
| transect.im | Pixel Values Along a Transect |
| Tstat | Third order summary statistic |
| unmark.ssf | Methods for Spatially Sampled Functions |
| varblock | Estimate Variance of Summary Statistic by Subdivision |
| Vmark | Diagnostics for random marking |
| Window.quadrattest | Extract Window of Spatial Object |
| with.fv | Evaluate an Expression in a Function Table |
| with.ssf | Evaluate Expression in a Spatially Sampled Function |
| $<-.fv | Extract or Replace Subset of Function Values |
| [.fasp | Extract Subset of Function Array |
| [.fv | Extract or Replace Subset of Function Values |
| [.ssf | Subset of spatially sampled function |
| [<-.fv | Extract or Replace Subset of Function Values |