Pie chart of spatial and non spatial data

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Description

The piemap function plots an attribute of a map and non-map data. It also returns tabular data: frequencies

Usage

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piemap(source,layer='',attribute,type='',label="",col='')
## Default S3 method:
piemap(source,layer='',attribute,type='',label="",col='')
## S3 method for class 'piemap'
print(x,...)
## S3 method for class 'piemap'
summary(object,...)
## S3 method for class 'piemap'
plot(x,...)

Arguments

source

Folder path of the layer or the map. Please quote the full folder path with forward slash "/".

layer

The layer map in the folder that you want to work with. It is the file name of map. This is case sensitive, please. In case you want to use non spatial data such as ".csv", ".txt", "dat" or ".tab" insert the file name as layer. In case of using R object set layer to "nofile"

type

The type of pie chart you want to use. It can take "simple" or "annotated" parameter. Simple pie chart does not have annotation. Set the "type" to "map" if you want a map to be drawn for the attribute

attribute

The attribute name of the layer or the map you want use. In case of using non spatial data such as ".csv", ".txt", "dat" or ".tab" attributes are variables or column names

label

The labeling title of the chart.

col

The colour of the chart

x

an object of class "piemap", i.e., a fitted model.

object

an object of class "piemap", i.e., a fitted model.

...

any other R parameters can be added

Value

Objects of the class that basically list its elements

data

Original data for the model

table

Frequency of the original data

source

Folder path of the layer or map

layer

The layer map in the source folder

attribute

The attribute name of the layer or the map that was used.

label

The labeling title of the chart.

Author(s)

George Owusu

References

Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V. (2008) Applied Spatial Data Analysis with R. Springer Kabacoff, I. R. (2011) R in Action. Data Analysis and Graphics with R. Manning Publications Co

Examples

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## Not run: 
#example one non spatial data
source<- system.file("external", package = "mgraph")
layer="farms"
attribute="Variety"
graph=piemap(source, layer,type="annotated",attribute=attribute,col='black',label="")
summary(graph)
print(graph)
plot(graph)

#Example two with R object
data(meuse.all, package="gstat")
piemap(source=meuse.all,layer="nofile",attribute="landuse")
piemap(source=meuse.all,layer="nofile",attribute="lime")

## End(Not run)