# clmfires

0th

Percentile

##### Castilla-La Mancha Forest Fires

This dataset is a record of forest fires in the Castilla-La Mancha region of Spain between 1998 and 2007. This region is approximately 400 by 400 kilometres. The coordinates are recorded in kilometres.

The dataset clmfires is a point pattern (object of class "ppp") containing the spatial coordinates of each fire, with marks containing information about each fire. There are 4 columns of marks:

 cause cause of fire (see below) burnt.area total area burned, in hectares date the date of fire, as a value of class Date julian.date number of days elapsed since 1 January 1998

The cause of the fire is a factor with the levels lightning, accident (for accidents or negligence), intentional (for intentionally started fires) and other (for other causes including unknown cause).

The format of date is “Year-month-day”, e.g. “2005-07-14” means 14 July, 2005.

The accompanying dataset clmfires.extra is a list of two items clmcov100 and clmcov200 containing covariate information for the entire Castilla-La Mancha region. Each of these two elements is a list of four images (objects of class "im") named elevation, orientation, slope and landuse. The landuse image is factor-valued with the factor having levels urban, farm (for farms or orchards), meadow, denseforest (for dense forest), conifer (for conifer forest or plantation), mixedforest, grassland, bush, scrub and artifgreen for artificial greens such as golf courses.

These images (effectively) provide values for the four covariates at every location in the study area. The images in clmcov100 are 100 by 100 pixels in size, while those in clmcov200 are 200 by 200 pixels. For easy handling, clmcov100 and clmcov200 also belong to the class "listof" so that they can be plotted and printed immediately.

Keywords
datasets, spatial
##### Usage
data(clmfires)
##### Format

clmfires is a marked point pattern (object of class "ppp"). See ppp.object.

clmfires.extra is a list with two components, named clmcov100 and clmcov200, which are lists of pixel images (objects of class "im").

##### Remark

The precision with which the coordinates of the locations of the fires changed between 2003 and 2004. From 1998 to 2003 many of the locations were recorded as the centroid of the corresponding “district unit”; the rest were recorded as exact UTM coordinates of the centroids of the fires. In 2004 the system changed and the exact UTM coordinates of the centroids of the fires were used for all fires. There is thus a strongly apparent “gridlike” quality to the fire locations for the years 1998 to 2003.

There is however no actual duplication of points in the 1998 to 2003 patterns due to “jittering” having been applied in order to avoid such duplication. It is not clear just how the fire locations were jittered. It seems unlikely that the jittering was done using the jitter() function from R or the spatstat function rjitter.

Of course there are many sets of points which are virtually identical, being separated by distances induced by the jittering. Typically these distances are of the order of 40 metres which is unlikely to be meaningful on the scale at which forest fires are observed.

Caution should therefore be exercised in any analyses of the patterns for the years 1998 to 2003.

##### Aliases
• clmfires
• clmfires.extra
##### Examples
# NOT RUN {
plot(clmfires, which.marks="cause", cols=2:5, cex=0.25)
plot(clmfires.extra$clmcov100) # Split the clmfires pattern by year and plot the first and last years: yr <- factor(format(marks(clmfires)$date,format="%Y"))
X   <- split(clmfires,f=yr)
fAl <- c("1998","2007")
plot(X[fAl],use.marks=FALSE,main.panel=fAl,main="")
# }

Documentation reproduced from package spatstat, version 1.49-0, License: GPL (>= 2)

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