Flags:

-h

Create hexagons (default: rectangles)

-a

Allow asymmetric hexagons

--overwrite

Allow output files to overwrite existing files

--help

Print usage summary

--verbose

Verbose module output

--quiet

Quiet module output

--ui

Force launching GUI dialog

Parameters:

map=name [required]

Name for output vector map

grid=rows,columns

Number of rows and columns in grid

position=string

Where to place the grid
Options: region, coor
Default: region
region: current region
coor: use ’coor’ and ’box’ options

coordinates=east,north

Lower left easting and northing coordinates of map

box=width,height

Width and height of boxes in grid

angle=float

Angle of rotation (in degrees counter-clockwise)
Default: 0

breaks=integer

Number of vertex points per grid cell
Options: 0-60
Default: 0

type=string

Output feature type
Options: point, line, area
Default: area

Creating a global grid in a latitude-longitude

To be run in a latitude-longitude location (WGS84)

# set the region:
g.region n=90 s=-90 w=-180 e=180 res=10 -p
projection: 3 (Latitude-Longitude)
zone:       0
datum:      wgs84
ellipsoid:  wgs84
north:      90N
south:      90S
west:       180W
east:       180E
nsres:      10
ewres:      10
rows:       18
cols:       36
cells:      648
# create 10 degree size grid:
v.mkgrid map=grid_10deg
# create 20 degree size grid:
v.mkgrid map=grid_20deg box=20,20

Creating a grid in a metric projection

Creating a 4x3 grid, cells 20km a side, with lower left corner at 2716500,6447000:

v.mkgrid map=coro_grid grid=4,3 position=coor coordinates=2716500,6447000 box=20000,20000

Creating a positioned grid in a latitude-longitude

Creating a 10x12 lat/lon grid, cells 2 arc-min a side, with lower left corner at 167deg 52min east, 47deg 6min south. For use with e.g. QGIS you can then pull this grid into a projected location with v.proj before exporting as a Shapefile with v.out.ogr (within GRASS GIS you could just use d.grid -w from the projected location for the same effect):

v.mkgrid map=p2min_grid grid=10,12 position=coor coordinates=167:52E,47:06S box=0:02,0:02

Creating a simple point pattern

North Carolina sample dataset example, creating a 1km spaced point grid based on the current region extent defined by the "elevation" map:

g.region raster=elevation res=1000 -pa
v.mkgrid type=point map=pointpattern

Creating a regular point pattern

North Carolina sample dataset example, creating a regular spaced point grid based on the current region extent defined by the "elevation" map, using a two-step approach:

# create first set of points, covering extent of "elevation" raster map
g.region raster=elevation res=1000 -pa
v.mkgrid type=point map=pointpattern1
# shift grid by half point distance (map units)
g.region n=n+500 w=w+500 e=e+500 s=s+500 -p
# create second set of points
v.mkgrid type=point map=pointpattern2
# merge into final point pattern
v.patch input=pointpattern1,pointpattern2 output=pointpattern3

Different point patterns for sampling design

Creating hexagons in a metric projection

North Carolina sample dataset example, creating regular hexagons based on the current region extent defined by the "elevation" map and raster resolution for the hexagon size:

g.region raster=elevation res=5000 -pa
v.mkgrid map=hexagons -h
d.grid 5000

Hexagon map

Using hexagons for point density

To compute point density in a hexagonal grid for the vector map points_of_interest in the basic North Carolina sample dataset, the vector map itself is used to set extent of the computational region. The resolution is based on the desired size of hexagons.

g.region vector=points_of_interest res=2000 -pa

The hexagonal grid is created as a vector map based on the previously selected extent and size of the grid.

v.mkgrid map=hexagons -h

The following counts the number of points per hexagon using the v.vect.stats module.

v.vect.stats points=points_of_interest areas=hexagons count_column=count

User should note that some of the points may be outside the grid since the hexagons cannot cover all the area around the edges (the computational region extent needs to be enlarged if all points should be considered). The last command sets the vector map color table to viridis based on the count column.

v.colors map=hexagons use=attr column=count color=viridis

Point density in a hexagonal grid