Hotspot Detection using Classification Trees

Documentation for package ‘TreeHotspots’ version 1.0

TreeHotspots-package	Hotspot Detection using Classification Trees
CleanUpPolys	apply various filters to polygon clusters
data1	simulated data containing one symmetric bump
data2	simulated data containing one elliptical bump
DataInsideBox	returns subset of data within bounding box
drugCrimes	crime data from San Francisco classified as drug crimes
faithful2	Old Faithful Geyser Data
FindClusters	find spatial clusters using supervised learning methods
getHotspots	find spatial clusters using supervised learning methods
list.rules	compute rules for terminal nodes
msdata	simulated artifial data at multiple scales and angles
PartitionParty	Plot the partitions of a partykit tree model
PlotClusters	plot clusters on a map
PlotPartition	Plot the partitions of a tree model.
PolyOverlap	computes the relative overlap of two polygons
Rect	wrapper for base R rect function
Rect2PBSpolys	simple utility function to convert object of rectangles into a PBSmapping type polygon
Rotate	rotate data
Rules2BoundingBox	return bounding box of leaf node
TestRotation	utility function to test validity of rotation
TreeHotspots	Hotspot Detection using Classification Trees
TreePartition	Convert the recursively defined partitions of a tree into a matrix containing just the leaf rectangles