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Convert latitude-longitude vectors to regular data grid


[Z,R] = vec2mtx(lat,lon,density)
[Z,R] = vec2mtx(lat,lon,density,latlim,lonlim)
[Z,R] = vec2mtx(lat,lon,Z1,R1)
[Z,R] = vec2mtx(...,'filled')


[Z,R] = vec2mtx(lat,lon,density) creates a regular data grid Z from vector data, placing ones in grid cells intersected by a vector and zeroes elsewhere. R is the raster reference object for the computed grid. lat and lon are vectors of equal length containing geographic locations in units of degrees. density indicates the number of grid cells per unit of latitude and longitude (a value of 10 indicates 10 cells per degree, for example), and must be scalar-valued. Whenever there is space, a buffer of two grid cells is included on each of the four sides of the grid. The buffer is reduced as needed to keep the latitudinal limits within [-90 90] and to keep the difference in longitude limits from exceeding 360 degrees.

[Z,R] = vec2mtx(lat,lon,density,latlim,lonlim) uses the two-element vectors latlim and lonlim to define the latitude and longitude limits of the grid.

[Z,R] = vec2mtx(lat,lon,Z1,R1) uses a pre-existing data grid Z1, georeferenced by R1, to define the limits and density of the output grid. Specify R1 as a GeographicCellsReference object. The RasterSize property of R1 must be consistent with size(Z). With this syntax, the output R is equal to R1.

[Z,R] = vec2mtx(...,'filled'), where lat and lon form one or more closed polygons (with NaN-separators), fills the area outside the polygons with the value two instead of the value zero.


Empty lat,lon vertex arrays will result in an error unless the grid limits are explicitly provided (via latlim,lonlim or Z1,R1). In the case of explicit limits, Z will be filled entirely with 0s if the 'filled' parameter is omitted, and 2s if it is included.

It's possible to apply vec2mtx to sets of polygons that tile without overlap to cover an area, as in Example 1 below, but using 'filled' with polygons that actually overlap may lead to confusion as to which areas are inside and which are outside.


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Convert latitude-longitude polygons to a regular data grid and display as a map.

states = shaperead('usastatelo', 'UseGeoCoords', true);
lat = [states.Lat];
lon = [states.Lon];
[Z,R] = vec2mtx(lat,lon,5,'filled');

Map of United States in red and background in blue

Combine two separate calls to vec2mtx to create a 4-color raster map showing interior land areas, coastlines, oceans, and world rivers.

load coastlines
[Z,R] = vec2mtx(coastlat,coastlon,1, ...
                [-90 90],[-90 270],'filled');

rivers = shaperead('worldrivers.shp','UseGeoCoords',true);
A = vec2mtx([rivers.Lat],[rivers.Lon],Z,R);
Z(A == 1) = 3;
colormap([.45 .60 .30; 0 0 0; 0 0.5 1; 0 0 1])

World map with land areas in green, coastlines in black, and oceans and rivers in blue

Import US state polygons as a geospatial table. Extract the coordinates of the polygons by converting the geospatial table to a table.

states = readgeotable("usastatelo.shp");
T = geotable2table(states,["Latitude" "Longitude"]);
[lat,lon] = polyjoin(T.Latitude',T.Longitude');

Choose geographic limits.

latlim = [  15  75];
lonlim = [-190 -65];

Specify a grid with 5 cells per degree.

density = 5;

Compute raster size. (M and N both work out to be integers.)

M = density * diff(latlim);
N = density * diff(lonlim);

Create a geographic raster reference object.

R = georasterref("RasterSize", [M N], ...
    "ColumnsStartFrom","north","Latlim",latlim, ...

Create a blank grid that is consistent with R in size. vec2mtx requires a data grid as input.

Z = zeros(R.RasterSize);

Overwrite Z with a new grid including state outlines and interiors.

Z = vec2mtx(lat,lon,Z,R,"filled");

Plot the georeferenced grid.

figure; worldmap(Z,R);
geoshow(Z,R,"DisplayType", "texturemap")

Version History

Introduced before R2006a

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