DiagnoseFailure: Visualize points that could not be mapped using...

In RapidPolygonLookup: POLYGON LOOKUP USING KD TREES

Description

This functions plots the points that could not be mapped using RapidPolygonLookup() The points are overlayed on the polygons to contextualize their geographical location and understand the reason behind their exclusion.

Usage

DiagnoseFailure(XY.polys, poly.list = NULL)

Arguments

XY.polys	output from function RapidPolygonLookup()
poly.list	polygon list with 3 or 4 elements: data, polys, poly.centers, and possibly ranges. Needs to be supplied if RapidPolygonLookup() was run with keep.data= FALSE

Author(s)

Markus Loecher <[e-mail]> and Madhav Kumar <[e-mail]>

Examples

data(sf.crime.2012, envir = environment())
data(sf.polys, envir = environment())
cat(nrow(sf.crime.2012), "rows in SF crime \n")

XY.kdtree <- RapidPolygonLookup(sf.crime.2012[,c("X","Y")], poly.list= sf.polys, 
                                k= 10, N= 1000, 
                                poly.id= "fips", poly.id.colname= "census.block", 
                                keep.data= TRUE, verbose= TRUE)
DiagnoseFailure(XY.kdtree)

RapidPolygonLookup documentation built on May 2, 2019, 7:08 a.m.