satfruit: Fruit Trees

In PASWR: Probability and Statistics with R

Fruit Trees

Description

To estimate the total surface occupied by fruit trees in 3 small areas (R63, R67, and R68) of Navarra (Spain) in 2001, a sample of 47 square segments has been taken. The experimental units are square segments or quadrats of 4 hectares, obtained by random sampling after overlaying a square grid on the study domain. Data are used in Case Study: Fruit Trees, Chapter 12.

Format

A data frame with 47 observations on the following 17 variables:

QUADRAT

number of the sampled segment or quadrat

SArea

the small area, a factor with levels R63, R67, and R68

WH

area classified as wheat in sampled segment

BA

area classified as barley in sampled segment

NAR

area classified as non arable in sampled segment

COR

area classified as corn in sampled segment

SF

area classified as sunflower in sampled segment

VI

area classified as vineyard in sampled segment

PS

area classified as grass in sampled segment

ES

area classified as asparagus in sampled segment

AF

area classified as lucerne in sampled segment

CO

area classified as rape (Brassica Napus) in sampled segment

AR

area classified as rice in sampled segment

AL

area classified as almonds in sampled segment

OL

area classified as olives in sampled segment

FR

area classified as fruit trees in sampled segment

OBS

the observed area of fruit trees in sampled segment

Source

Militino, A. F., et. al. (2006) “Using Small Area Models to Estimate the Total Area Occupied by Olive Trees.” Journal of Agricultural, Biological and Environmental Statistics, 11: 450-461.

References

Ugarte, M. D., Militino, A. F., and Arnholt, A. T. (2008) Probability and Statistics with R. Chapman & Hall/CRC.

Examples

with(data = satfruit, 
pairs(satfruit[ , 15:17]))
# Trellis Approach
splom(~data.frame(satfruit[ , 15:17]), data = satfruit)

PASWR documentation built on May 15, 2022, 5:05 p.m.