salt: Raster data for use as prioritzrshiny example

In prioritizr/prioritizrshiny: Shiny interface for Systematic Conservation Prioritization in R

Description

This data set contains one raster stack. planning unit layer where each one hectare pixel represents a planning unit and contains its corresponding cost (BC Assessment 2015). Second, a raster stack containing ecological community feature data. Field and remote sensed data were used to calculate the probability of occurrence of five key ecological communities found on Salt Spring island. Each layer in the stack represents a different community type. In order these are; Old Forest, Savannah, Wetland, Shrub, and a layer representing the inverse probability of occurrence of human commensal species. For a given layer, the cell value indicates the composite probability of encountering the suite of bird species most commonly associated with that community type.

Usage

salt

Format

A RasterStack with 51300 cells and 6 layers:

cost

Averaged assessed land value per hectare

Old_Forest

Old Forest community feature.

Savannah

Savannah community feature.

Wetland

Wetland community feature.

Shrub

Shrub community feature.

Human_negative

Inverse probability of occurrence of human commensal species community feature.

...

Source

https://prioritizr.net/articles/saltspring.html

prioritizr/prioritizrshiny documentation built on May 14, 2020, 5:48 a.m.