MontesinhoFires: Forest fires in Montesinho natural park

In bestglm: Best Subset GLM and Regression Utilities

Description

The forest fire data were collected during January 2000 to December 2003 for fires in the Montesinho natural park located in the northeast region of Portugal. The response variable of interest was area burned in ha. When the area burned as less than one-tenth of a hectare, the response variable as set to zero. In all there were 517 fires and 247 of them recorded as zero. The region was divided into a 10-by-10 grid with coordinates X and Y running from 1 to 9.

Usage

data(MontesinhoFires)

Format

A data frame with 517 observations on the following 13 variables.

X

X coordinate for region, 0-10

Y

X coordinate for region, 0-10

month

an ordered factor with 12 levels

day

an ordered factor with 7 levels

FFMC

fine fuel moisture code

DMC

Duff moisture code

DC

drought code

ISI

initial spread index

temp

average ambient temperature

RH

a numeric vector

wind

wind speed

rain

rainfall

burned

area burned in hectares

Details

This is the original data taken from the website below.

Source

http://archive.ics.uci.edu/ml/datasets/Forest+Fires

References

P. Cortez and A. Morais, 2007. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimaraes, Portugal, pp. 512-523, 2007.

See Also

Fires

Examples

data(MontesinhoFires)
names(MontesinhoFires)
data(Fires)
names(Fires)
#Anova for month
summary(aov(burned~month, data=MontesinhoFires))

Example output

Loading required package: leaps
 [1] "X"      "Y"      "month"  "day"    "FFMC"   "DMC"    "DC"     "ISI"   
 [9] "temp"   "RH"     "wind"   "rain"   "burned"
 [1] "xyarea"  "month"   "day"     "FFMC"    "DMC"     "DC"      "ISI"    
 [8] "temp"    "RH"      "wind"    "rain"    "lburned"
             Df  Sum Sq Mean Sq F value Pr(>F)
month        11   11453    1041   0.253  0.993
Residuals   505 2079412    4118               

bestglm documentation built on March 26, 2020, 7:25 p.m.