grid_area: Make a grid from a Simple Feature Polygon

In windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Description

Create a grid from a given polygon with a certain resolution and proportionality. The grid cell centroids represent possible wind turbine locations.

Usage

grid_area(shape, size = 500, prop = 1, plotGrid = FALSE)

Arguments

shape	Simple Feature Polygon of the considered area
size	The cellsize of the grid in meters. Default is 500
prop	A factor used for grid calculation. It determines the minimum percentage that a grid cell must cover the area. Default is 1
plotGrid	Logical value indicating whether the results should be plotted. Default is FALSE

Value

Returns a list with 2 elements. List element 1 will have the grid cell IDS, and the X and Y coordinates of the centers of each grid cell. List element 2 is the grid as Simple Feature Polygons, which is used for plotting purposes.

Note

The grid of the genetic algorithm will have a resolution of Rotor * fcrR. See the arguments of windfarmGA

See Also

Other Helper Functions: dup_coords(), getDEM(), getISO3(), get_grids(), hexa_area(), isSpatial(), permutations(), readintegerSel(), readinteger(), splitAt(), windata_format()

Examples

## Not run: 
## Exemplary input Polygon with 2km x 2km:
library(sf)
Polygon1 <- sf::st_as_sf(sf::st_sfc(
 sf::st_polygon(list(cbind(
   c(0, 0, 2000, 2000, 0),
   c(0, 2000, 2000, 0, 0)))),
crs = 3035
))

## Create a Grid
grid_area(Polygon1, 200, 1, TRUE)
grid_area(Polygon1, 400, 1, TRUE)

## Examplary irregular input Polygon
Polygon1 <- sf::st_as_sf(sf::st_sfc(
 sf::st_polygon(list(cbind(
   c(0, 0, 2000, 3000, 0),
   c(20, 200, 2000, 0, 20)))),
 crs = 3035
))

## Create a Grid
grid_area(Polygon1, 200, 1,   TRUE)
grid_area(Polygon1, 200, 0.1, TRUE)
grid_area(Polygon1, 400, 1,   TRUE)
grid_area(Polygon1, 400, 0.1, TRUE)

## End(Not run)

windfarmGA documentation built on May 5, 2021, 5:08 p.m.