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Spatial autocorrelation tutorial	/about/	page	html_notebook

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Sample Covariance

Range of values -Infinitive to + Infinitive Standart deviation is the SQUARE mEASURES Dispersion

#Correlation

library(maptools)
library(spdep)
library(rgdal)
library(spData)
library(GISTools)

The first data set contains census tract data for eight central NY counties:

owd <- getwd()
setwd(system.file("shapes", package="spData"))
NYcounties <- readShapeSpatial("NY8_utm18")
plot(NYcounties)
names(NYcounties)

Let's work on a subset of the map by focusing on Syracuse:

unique(NYcounties$AREANAME)
syracuse <- NYcounties[NYcounties$AREANAME == "Syracuse city",]
plot(syracuse)

coords <- coordinates(syracuse)
par(mfrow=c(1,1))
choropleth(syracuse, syracuse$PCTOWNHOME)

coords <- coordinates(syracuse)

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