convexHull: Plots the convexhull polygon from the data (latitude,...
In Irescale: Calculate and Rectify Moran's I

Description Usage Arguments Details Value Examples

convexHull Computes the area and centroid of the convex hull from the (latitute, longitude) vector. It provides a plot of how the points are dispersed in the field of interest.

1	convexHull(X, varOfInterest)

`X`	dataframe with two colums, latitute and longitude respectively.
`varOfInterest`	variable of interest to plot. This variable is needed to color the points on the convexhull.

Consideration for this function:

It makes usage of chull from rgeos and Polygon from graphics.
The centroid of the polygon is calculated by averaging the vertices of it.
The shown plot uses the basic plot command.

A vector with two elements, the first element is the area and the second one is the centroid. The centroid is a list of two elements, latitude and longitude that represents the centroid. To have a visual idea of the returned object, it has the following shape [area,[latitude,longitude], plotObject].

1
2
3

fileInput <- system.file("testdata", "chen.csv", package="Irescale")
data<-loadFile(fileInput)
area_centroid<-convexHull(data$data,data$varOfInterest)

Warning messages:
1: Use of `X[[1]]` is discouraged. Use `.data[[1]]` instead. 
2: Use of `X[[2]]` is discouraged. Use `.data[[2]]` instead. 
3: Use of `pol[[1]]` is discouraged. Use `.data[[1]]` instead. 
4: Use of `pol[[2]]` is discouraged. Use `.data[[2]]` instead.