FSS: Forward Scan Statistic

In ick003/RecurPart: Forward Selection Scan Statistic

Description

Perform a forward scan statistic analysis.

Usage

FSS(data_xyt, num1Slice, num1Period, numPeriods, numX,
                 numY, plotIte = 6, cellIndices = NULL, data_poly =
                 NULL, maxSum = 3, tempSmooth = TRUE, spatSmooth =
                 TRUE, alpha = 0.7, lambda = 0.8, num1Day = 1,
                 dspSlices = NULL, fillThreshold = 1, colPoints =
                 "green", colA = "red", colB = "orange", colP =
                 "green")

## Default S3 method:
FSS(data_xyt, num1Slice, num1Period, numPeriods, numX,
                 numY, plotIte = 6, cellIndices = NULL, data_poly =
                 NULL, maxSum = 3, tempSmooth = TRUE, spatSmooth =
                 TRUE, alpha = 0.7, lambda = 0.8, num1Day = 1,
                 dspSlices = NULL, fillThreshold = 1, colPoints =
                 "green", colA = "red", colB = "orange", colP =
                 "green")

Arguments

data_xyt	a spatial-temporal point process data frame.
num1Slice	number of time points in one slice.
num1Period	number of slices in one period.
numX	number of cells on the x-axis.
numY	number of cells on the y-axis.
tempSmooth	logical. Whether or not apply a temporal smoothing to the data.
spatSmooth	logical. Whether or not apply a spatial smoothing to the data.
alpha	value of the temporal smoother.
lambda	value of the spatial smoother.
num1Day	number of time points per day.
...	Additional parameters.

Value

An object of class list, including elements

xy	original point process.
poly	polygon of the spatial area (if specified).
Obs	transformed data to feed in the algorithm.
cells	cells of interest (if specified).
inputArgs	list of the input arguments.
originalSlices	cell-repartition of the data.
smoothedSlices	smoothed cell repartition of the data.
partResults	dataframe of all the iterations of the algorithm, with the partitioning decision and the offsprings.
colors	set of chosen colors for plotting.

Author(s)

Adrien Ickowicz <[e-mail]>, Ross Sparks <[e-mail]>, Thomas Lo <[e-mail]>

Maintainer: Adrien Ickowicz <[e-mail]>

Examples

cellIndices = rbind(c(2,9),c(2,10),c(3,9),c(3,10),
                    c(7,5),c(7,6),c(8,6),c(8,7))

dspSlices <- 1:13   # a vector containing time slices to be displayed

# allocate the first 24 months to find monthly means of each cell, and
# assuming 30 days for a month

test.fss <- FSS(AEGISS_ixyt, num1Slice=30, num1Period=12, 
            numPeriods=2, numX=10, numY=9, plotIte=8, 
            cellIndices=cellIndices, data_poly=AEGISS_poly,
            lambda=0.9, dspSlices=dspSlices, fillThreshold=0.95,
            colPoints="cyan")

ick003/RecurPart documentation built on May 18, 2019, 2:32 a.m.