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Last data update: 2014.03.03

R: Reclassify properties data

lawn_reclass

R Documentation

Reclassify properties data

Description

Takes a data-FeatureCollection, an input field, an output field, and an array of translations and outputs an identical FeatureCollection with the output field property populated

Usage

lawn_reclass(input, inField, outField, translations, lint = FALSE)

Arguments

`input`	Set of input features
`inField`	the field to translate
`outField`	the field in which to store translated results
`translations`	an array of translations. Use nested lists instead of vectors as combined numerics and characters will become all character strings when converted to json. Each list within the nested list of length 3, of the form `<lower limit>, <upper limit>, <name for new grouping>`
`lint`	(logical) Lint or not. Uses geojsonhint. Takes up increasing time as the object to get linted increases in size, so probably use by default for small objects, but not for large if you know they are good geojson objects. Default: `FALSE`

Value

a data-FeatureCollection with identical geometries to input but with outField populated.

Examples

t1 <- list(list(0, 200, "small"), list(200, 400, "medium"), list(400, 600, "large"))
lawn_reclass(lawn_data$points_average, 'population', 'size', t1)
lawn_reclass(lawn_data$points_average, 'population', 'number', t1)

t2 <- list(list(0, 150, "small"), list(150, 700, "big"))
lawn_reclass(lawn_data$points_average, 'population', 'size', t2)