compute: Compute the map accuracy

In albhasan/mapAccuracy: Assess the accuracy of remotely sensed maps

Description

Compute the map accuracy

Usage

compute(object)

## S4 method for signature 'MapAccuracy'
compute(object)

Arguments

object

A MapAccuracy object

Value

A list of: confint95. A list of the two vectors of the 95 per-cent confidence intervals. The vector corresponds to the superior and inferior confidence limits

Accuracy. A list of vectors that represent the overall, user, and producer acuracies. Each element in each vector correspond to a class.

Examples

classnames <-  c("deforestation", "forest", "no forest")
confusion_matrix <- matrix(c(97, 0, 3, 3, 279, 18, 2, 1, 97), ncol = 3, byrow = TRUE)
class_areas <- c(22353, 1122543, 610228)

ma <- new(Class = "MapAccuracy", confusion_matrix = confusion_matrix, class_areas = class_areas)
compute(ma)

albhasan/mapAccuracy documentation built on May 11, 2019, 10:31 p.m.