fire_probs: Fire point probabilities
In leonawicz/alfresco: R Functions For ALFRESCO Wildfire Model

Description Usage Arguments Details Value Examples

Estimate fire point probability from fire weights for point locations.

1	fire_probs(data, veg_labels, covariates = TRUE)

`data`	a data frame output by `fire_weights`.
`veg_labels`	character, vector of vegetation labels. If missing, they are assumed from `get_veg_labels("ak1km")`.
`covariates`	logical, if `TRUE` (default), then a wide data frame is returned that includes additional spatially aggregated covariates. See details.

This function estimates point probability of fire for spatial point locations from fire weights output by fire_weights. It generates a summary data frame that includes a column prop of a simple proportion of area burned and a column prob of estimated fire point probabilities based on the weights in data.

covariates = TRUE returns additional variables only if at least the veg column is present in data. If not, there will be nothing additional to return.

This function returns a one-column data frame. It is called on a single point location just like fire_weights. It is generally used in a context where it is invoked multiple times applied to several point locations. See point_probs for the generic wrapper used to estimate fire point probability for multiple locations that returns a multi-row data frame.

a data frame.

## Not run: 
scar <- "FireScar_0_2004.tif"
veg <- "Veg_0_2004.tif"
age <- "Age_0_2004.tif"
coords <- data.frame(lon = -147.7164, lat = 64.8378)
fire_weights(r = scar, xy = coords, veg = veg, age = age)
fire_probs(x)

## End(Not run)