# nbfires

0th

Percentile

##### Point Patterns of New Brunswick Forest Fires

Point patterns created from yearly records, provided by the New Brunswick Department of Natural Resources, of all fires falling under their jurisdiction for the years 1987 to 2003 inclusive (with the year 1988 omitted until further notice).

Keywords
datasets, spatial
data(nbfires)
##### Details

The coordinates of the fire locations were provided in terms of latitude and longitude, to the nearest minute of arc. These were converted to New Brunswick stereographic projection coordinates (Thomson, Mephan and Steeves, 1977) which was the coordinate system in which the map of New Brunswick --- which constitutes the observation window for the pattern --- was obtained. The conversion was done using a C program kindly provided by Jonathan Beaudoin of the Department of Geodesy and Geomatics, University of New Brunswick.

Finally the data and window were rescaled since the use of the New Brunswick stereographic projection coordinate system resulted in having to deal with coordinates which are expressed as very large integers with a bewildering number of digits. Amongst other things, these huge numbers tended to create very untidy axis labels on graphs. The width of the bounding box of the window was made equal to 1000 (nameless) units. In addition the lower left hand corner of this bounding box was shifted to the origin. The height of the bounding box was changed proportionately, resulting in a value of approximately 959.

The window for the fire patterns comprises 6 polygonal components, consisting of mainland New Brunswick and the 5 largest islands. Some lakes which should form holes in the mainland component are currently missing; this problem will be remedied in future releases. The window was formed by simplifying'' the map that was originally obtained. The simplification consisted in reducing (using an interactive visual technique) the number of polygon edges in each component. For instance the number of edges in the mainland component was reduced from over 138,000 to 500.

For some purposes it is probably better to use a discretized (mask type) window. See Examples''.

Because of the coarseness of the coordinates of the original data (1 minute of longitude is approximately 1 kilometer at the latitude of New Brunswick), data entry errors, and the simplification of the observation window, many of the original fire locations appeared to be outside of the window. This problem was addressed by shifting the location of the outsider'' points slightly, or deleting them, as seemed appropriate.

The columns of the data frames comprising nbextras are [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object] Note that due to data entry errors some of the out dates'' and out times'' in the original data sets were actually earlier than the corresponding discovery dates'' and discover times''. In such cases all corresponding entries of the extras data frame (i.e. dis.date, dis.time, dis.julian, out.date, out.time, and out.julian) were set equal to NA. Also, some of the dates and times were missing (equal to NA) in the original data sets.

##### format

Executing data(nbfires) creates three objects: nbfires, nbextras, and nbw.rect.

The object nbfires is a marked point pattern (an object of class "ppp") consisting of all of the fires in the years 1987 to 2003 inclusive, with the omission of 1988. The marks consist of the last two digits of the years, with the string nbfires. prepended. Patterns for individual years can be extracted using the function split.ppp(). (See Examples''.)

The object nbextras is a list of data frames, with names extras.87, ..., extras.03. The columns of these data frames provide extra'' information about the fires. (See Details''.)

The object nbw.rect is a rectangular window which covers central New Brunswick. It is provided for use in illustrative and practice'' calculations inasmuch as the use of a rectangular window simplifies some computations considerably.

##### source

The data were kindly provided by the New Brunswick Department of Natural Resources. Special thanks are due to Jefferey Betts for a great deal of assistance.

##### References

Turner, Rolf (2007) Point patterns of forest fire locations. To appear in Environmental and Ecological Statistics.

Thomson, D. B., Mephan, M. P., and Steeves, R. R. (1977) The stereographic double projection. Technical Report 46, University of New Brunswick, Fredericton, N. B., Canada URL: gge.unb.ca/Pubs/Pubs.html.

• nbfires
• nbextras
• nbw.rect
##### Examples
data(nbfires)
X <- split(nbfires) # Create a list of yearly point patterns.
attach(X)           # Make the individual point patterns accessible.
attach(nbextras)    # Make the individual `extras' accessible.
ftyp <- extras.00$fire.type Y.00 <- nbfires.00[ftyp==1 | ftyp==2] # Pick out forest and grass fires. stt <- extras.00$dis.julian[ftyp==1 | ftyp==2]
fin  <- extras.00$out.julian[ftyp==1 | ftyp==2] Y.00 <- setmarks(Y.00,fin-stt) # Mark the pattern with fire duration. plot(Y.00) # nbw.mask <- as.mask(nbfires$window, dimyx=500)