addpoints |
Add points interactively to a point data set |
amacrines.off |
Amacrines on/off data set |
amacrines.on |
Amacrines on/off data set |
areapl |
Calculate area of polygon |
as.points |
Creates data in spatial point format |
bboxx |
Generate a non-closed bounding polygon |
bodmin |
Bodmin Moors granite tors |
burbdy |
Burkitt's lymphoma in Uganda |
burkitt |
Burkitt's lymphoma in Uganda |
burpts |
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 sources |
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 randomness |
Kenv.label |
Envelope of K1hat-K2hat from random labelling of two point patterns |
Kenv.pcp |
Calculate simulation envelope for a Poisson Cluster Process |
Kenv.tor |
Envelope of K12hat from random toroidal shifts of two point patterns |
Kenv.tor1 |
Modified envelope of K12hat from random toroidal shifts of two point patterns |
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 |
old.incinerator |
Cancer cases in Chorley-Ribble |
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 |
plot.khat |
K-function |
plt |
bins nearest neighbour distances |
pointmap |
Graphics |
polymap |
Graphics |
print.khat |
K-function |
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 |
southlancs.bdy |
Cancer cases in Chorley-Ribble |
southlancs.cc |
Cancer cases in Chorley-Ribble |
southlancs.pts |
Cancer cases in Chorley-Ribble |
spkernel2d |
Kernel smoothing of a point pattern |
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 model |
uganda |
Craters in Uganda |
zoom |
Interactively specify a region of a plot for expansion |