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 non-closed 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 | Distance-squared 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 K-function |
Kenv.csr | Envelope of Khat from simulations of complete spatial... |
Kenv.label | Envelope of K1hat-K2hat 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 | Space-time kernel |
kernrat | Ratio of two kernel smoothings |
kerview | A linked-window system for browsing space-time data |
khat | K-function |
khvc | Covariance matrix for the difference between two K-functions |
khvmat | Covariance matrix for the difference between two K-functions |
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 K-functions |
shift | Shift a point data set |
southlancs | Cancer cases in Chorley-Ribble |
splancs | Return version number and author information |
spoints | Point Objects |
stdiagn | Summary plots for clustering analysis |
stkhat | Space-time K-functions |
stmctest | Monte-Carlo test of space-time clustering |
stsecal | Standard error for space-time clustering |
stvmat | Variance matrix for space-time clustering |
thin | Randomly thin a point data set |
tor.shift | Toroidal shift on a point data set |
tribble | Diggle-Rowlingson Raised Incidence Model |
triblik | Log-likelihood for the Diggle-Rowlingson raised incidence... |
uganda | Craters in Uganda |
zoom | Interactively specify a region of a plot for expansion |
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