Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (2.01-45) of this package.
Take me there.
splancs (version 2.01-28)
Spatial and Space-Time Point Pattern Analysis
Description
Spatial and Space-Time Point Pattern Analysis Functions
Copy Link
Link to current version
Version
Version
2.01-45
2.01-44
2.01-43
2.01-42
2.01-40
2.01-39
2.01-38
2.01-37
2.01-36
2.01-34
2.01-33
2.01-32
2.01-31
2.01-29
2.01-28
2.01-27
2.01-25
2.01-24
2.01-23
2.01-22
2.01-21
2.01-20
2.01-19
2.01-17
2.01-16
2.01-15
2.01-14
2.01-13
2.01-12
2.01-11
2.01-10
2.01-9
2.01-7
2.01-6
2.01-5
2.01-4
2.01-3
2.01-2
Install
install.packages('splancs')
Monthly Downloads
18,356
Version
2.01-28
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
August 17th, 2011
Functions in splancs (2.01-28)
Search all functions
Ghat
G nearest neighbour distribution function
gen
generate points in polygon
tribble
Diggle-Rowlingson Raised Incidence Model
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
pointmap
Graphics
polymap
Graphics
amacrines
Amacrines on/off data set
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
rLabel
Randomly label two or more point sets
print.ribfit
Display the fit from tribble()
splancs
Return version number and author information
dsquare
Distance-squared from a number of points to a number of sources
inpip
Select points inside a polygon
burkitt
Burkitt's lymphoma in Uganda
stsecal
Standard error for space-time clustering
okwhite
Oklahoma white offenders
stvmat
Variance matrix for space-time clustering
mse2d
Mean Square Error for a Kernel Smoothing
delpoints
Select points to delete from a points data set
kernel3d
Space-time kernel
n2dist
Nearest neighbours for two point patterns
csr
Generate completely spatially random points on a polygon
khat
K-function
pcp.sim
Generate a Poisson Cluster Process
southlancs
Cancer cases in Chorley-Ribble
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
k12hat
Bivariate K-function
sbox
Generate a box surrounding a point object
stmctest
Monte-Carlo test of space-time clustering
cardiff
Locations of homes of juvenile offenders
rtor.shift
Random toroidal shift on a point data set
nndistG
Nearest neighbour distances as used by Ghat()
thin
Randomly thin a point data set
npts
Number of points in data set
khvc
Covariance matrix for the difference between two K-functions
stkhat
Space-time K-functions
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
is.points
Point Objects
khvmat
Covariance matrix for the difference between two K-functions
gridpts
Generate a grid of points
plt
bins nearest neighbour distances
spoints
Point Objects
pip
Points inside or outside a polygon
tor.shift
Toroidal shift on a point data set
okblack
Oklahoma black offenders
Fhat
F nearest neighbour distribution function
bboxx
Generate a non-closed bounding polygon
stdiagn
Summary plots for clustering analysis
addpoints
Add points interactively to a point data set
getpoly
Draw a polygon on the current graphics device
kernrat
Ratio of two kernel smoothings
secal
Standard errors for the difference between two K-functions
kerview
A linked-window system for browsing space-time data
inout
Test points for inclusion in a polygon
pdense
Overall density for a point pattern
pcp
Fit a Poisson cluster process
uganda
Craters in Uganda
bodmin
Bodmin Moors granite tors
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
as.points
Creates data in spatial point format
mpoint
Overlay a number of point patterns
nndistF
Nearest neighbour distances as used by Fhat()
Fzero
Theoretical nearest neighbour distribution function
areapl
Calculate area of polygon
ranpts
adjust number of random points in polygon
Shift
Shift a point data set
zoom
Interactively specify a region of a plot for expansion
kernel2d
Kernel smoothing of a point pattern