## Documentation Center |

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 referencing vector 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. `R1` can
be a referencing vector, a referencing matrix, or a geographic raster
reference object.

If `R1` is a geographic raster reference object,
its `RasterSize` property must be consistent with `size(Z1)` and
its `RasterInterpretation` must be `'cells'`.

If `R1` is a referencing vector, it must be
a 1-by-3 vector containing elements:

[cells/degree northern_latitude_limit western_longitude_limit]

or a 3-by-2 referencing matrix that transforms raster row and column indices to/from geographic coordinates according to:

[lon lat] = [row col 1] * R1

If `R1` is
a referencing matrix, it must define a (non-rotational, non-skewed)
relationship in which each column of the data grid falls along a meridian
and each row falls along a parallel. With this syntax, output `R` is
equal to `R1`, and may be a referencing object, vector,
or matrix.

`[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.

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'); figure; worldmap(Z, R); geoshow(Z, R, 'DisplayType', 'texturemap') colormap(flag(3))

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

coast = load('coast.mat'); [Z, R] = vec2mtx(coast.lat, coast.long, ... 1, [-90 90], [-90 270], 'filled'); rivers = shaperead('worldrivers.shp','UseGeoCoords',true); A = vec2mtx([rivers.Lat], [rivers.Lon], Z, R); Z(A == 1) = 3; figure; worldmap(Z, R) geoshow(Z, R, 'DisplayType', 'texturemap') colormap([.45 .60 .30; 0 0 0; 0 0.5 1; 0 0 1])

This example illustrates the following syntax in the case where `R1` is
a spatial referencing object:

[Z, R] = vec2mtx(lat, lon, Z1, R1)

% Import US state outlines. states = shaperead('usastatelo', 'UseGeoCoords', true); lat = [states.Lat]; lon = [states.Lon]; % 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); % Construct a spatialref.GeoRasterReference object. R = georasterref('RasterSize', [M N], ... 'ColumnsStartFrom', 'north', 'Latlim', latlim, ... 'Lonlim', lonlim); % 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') colormap(flag(3))

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