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 splancs: Spatial and SpaceTime Point Pattern Analysis
 amacrines: Amacrines on/off data set
Amacrines on/off data set
Description
Two twocolumn matrices of points marked on and off
Usage
1  data(amacrines)

Format
Two twocolumn matrices of points marked on and off
Source
http://www.maths.lancs.ac.uk/~diggle/pointpatterns/Datasets/, Peter J. Diggle, Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, UK: publicdomain spatial point pattern datasets.
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 addpoints: Add points interactively to a point data set
 amacrines: Amacrines on/off data set
 areapl: Calculate area of polygon
 as.points: Creates data in spatial point format
 bbox: Generate a nonclosed bounding polygon
 bodmin: Bodmin Moors granite tors
 burkitt: Burkitt's lymphoma in Uganda
 cardiff: Locations of homes of juvenile offenders
 csr: Generate completely spatially random points on a polygon
 delpoints: Select points to delete from a points data set
 dsquare: Distancesquared from a number of points to a number of...
 Fhat: F nearest neighbour distribution function
 Fzero: Theoretical nearest neighbour distribution function
 gen: generate points in polygon
 getpoly: Draw a polygon on the current graphics device
 Ghat: G nearest neighbour distribution function
 gridpts: Generate a grid of points
 inout: Test points for inclusion in a polygon
 inpip: Select points inside a polygon
 is.points: Point Objects
 k12hat: Bivariate Kfunction
 Kenv.csr: Envelope of Khat from simulations of complete spatial...
 Kenv.label: Envelope of K1hatK2hat from random labelling of two point...
 Kenv.pcp: Calculate simulation envelope for a Poisson Cluster Process
 Kenv.tor: Envelope of K12hat from random toroidal shifts of two point...
 Kenv.tor1: Modified envelope of K12hat from random toroidal shifts of...
 kernel2d: Kernel smoothing of a point pattern
 kernel3d: Spacetime kernel
 kernrat: Ratio of two kernel smoothings
 kerview: A linkedwindow system for browsing spacetime data
 khat: Kfunction
 khvc: Covariance matrix for the difference between two Kfunctions
 khvmat: Covariance matrix for the difference between two Kfunctions
 mpoint: Overlay a number of point patterns
 mse2d: Mean Square Error for a Kernel Smoothing
 n2dist: Nearest neighbours for two point patterns
 nndistF: Nearest neighbour distances as used by Fhat()
 nndistG: Nearest neighbour distances as used by Ghat()
 npts: Number of points in data set
 okblack: Oklahoma black offenders
 okwhite: Oklahoma white offenders
 pcp: Fit a Poisson cluster process
 pcp.sim: Generate a Poisson Cluster Process
 pdense: Overall density for a point pattern
 pip: Points inside or outside a polygon
 plt: bins nearest neighbour distances
 pointmap: Graphics
 polymap: Graphics
 print.ribfit: Display the fit from tribble()
 ranpts: adjust number of random points in polygon
 rlabel: Randomly label two or more point sets
 rtor.shift: Random toroidal shift on a point data set
 sbox: Generate a box surrounding a point object
 secal: Standard errors for the difference between two Kfunctions
 shift: Shift a point data set
 southlancs: Cancer cases in ChorleyRibble
 splancs: Return version number and author information
 spoints: Point Objects
 stdiagn: Summary plots for clustering analysis
 stkhat: Spacetime Kfunctions
 stmctest: MonteCarlo test of spacetime clustering
 stsecal: Standard error for spacetime clustering
 stvmat: Variance matrix for spacetime clustering
 thin: Randomly thin a point data set
 tor.shift: Toroidal shift on a point data set
 tribble: DiggleRowlingson Raised Incidence Model
 triblik: Loglikelihood for the DiggleRowlingson raised incidence...
 uganda: Craters in Uganda
 zoom: Interactively specify a region of a plot for expansion