MATLAB: Mapping SRTM data

geoshowmappingMapping Toolboxsrtm

Is anyone using the mapping toolbox to successfully map SRTM data? Most examples provided with the mapping toolbox no longer work and I cannot seem to read in anything that geoshow is willing to take as input. A working example would be much appreciated!

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I've got this particular layer working. I now realize that sometimes wmsread returns data that are not the type that geoshow wants. Editing the last line to: geoshow(double(Z1),R1,'DisplayType','surface'); works. After that: demcmap(double(Z1)) is a better colormap than default.

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MATLAB: Compute elevation profile for location that is NOT Korea

Korea is shipped as an example data set and even that should not be used for anything other than an example.

If you don't have DEM files, I would recommend starting with wmsfind. There are many layers out there that contain DEM data. Once you find one for your location, use wmsread to pull in the data. In general, getting data is the hardest part.

Here's an example for New Hampshire, USA:

latlim = [44.1645 44.4216];
lonlim = [-71.4608 -71.2267];
nasaLayers = wmsfind('nasa*elev', 'SearchField', 'serverurl');
ned = refine(nasaLayers, 'usgs_ned');
[Z, refmatZ] = wmsread(ned, 'Latlim', latlim, 'Lonlim', lonlim);
Z = double(Z);
%%Contour map
% Use the data from NASA to build a contour map
%
% Build figure, map, and contour
figure
usamap(latlim, lonlim)
contourm(Z, refmatZ, 20, 'Color', 'k')

MATLAB: How can we find the non common strings from multiple columns

First lets find the strings that are common to all cell arrays:

listA={'India','Iran','Ireland','Israel','Jordan','Kuwait','Lebanon','Lesotho','Libya','Luxembourg','Malawi','Maldives','Morocco','Nepal','Netherlands','Norway','Oman','Paraguay','Peru','Philippines',};
listB={'Denmark','El Salvador','Gabon','Gambia','Lebanon','Lesotho','Libya','Luxembourg','Malawi','Maldives','Morocco','Nepal','Netherlands','Norway','Oman','Paraguay','Peru','Philippines','Qatar','Rwanda','Saudi Arabia','Senegal','Singapore','Sudan'};
listC={'Kuwait','Lebanon','Lesotho','Nepal','Netherlands','Oman','Sweden','Syria','Tanzania','Turkey','Uruguay'};
%

lists = {listA,listB,listC}; % storing data together makes working with them much simpler.
%
exc = lists{1};
for k = 2:numel(lists)
    exc = intersect(exc,lists{k});
end

giving the strings found in all cell arrays as:

 exc =
    'Lebanon'
    'Lesotho'
    'Nepal'
    'Netherlands'
    'Oman'

Now we can easily get the input cell arrays with the strings from exc removed:

out = cell(size(lists));
for k = 1:numel(lists)
    out{k} = setdiff(lists{k},exc);
end

giving:

>> out{:}
ans = 
    'India' 'Iran' 'Ireland' 'Israel' 'Jordan' 'Kuwait' 'Libya' 'Luxembourg' 'Malawi' 'Maldives' 'Morocco' 'Norway' 'Paraguay' 'Peru' 'Philippines'
ans =
    'Denmark' 'El Salvador' 'Gabon' 'Gambia' 'Libya' 'Luxembourg' 'Malawi' 'Maldives' 'Morocco' 'Norway' 'Paraguay' 'Peru' 'Philippines' 'Qatar' 'Rwanda' 'Saudi Arabia' 'Senegal' 'Singapore' 'Sudan'
ans =
    'Kuwait' 'Sweden' 'Syria' 'Tanzania' 'Turkey' 'Uruguay'

And if you want a list of all strings together, excluding those in exc:

uni = {};
for k = 1:numel(lists)
    uni = union(uni,lists{k});
end
uni = setdiff(uni,exc)

gives:

uni =
    'Denmark' 'El Salvador' 'Gabon' 'Gambia' 'India' 'Iran' 'Ireland' 'Israel' 'Jordan' 'Kuwait' 'Libya' 'Luxembourg' 'Malawi' 'Maldives' 'Morocco' 'Norway' 'Paraguay' 'Peru' 'Philippines' 'Qatar' 'Rwanda' 'Saudi Arabia' 'Senegal' 'Singapore' 'Sudan' 'Sweden' 'Syria' 'Tanzania' 'Turkey' 'Uruguay'

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MATLAB: Compute elevation profile for location that is NOT Korea

MATLAB: How can we find the non common strings from multiple columns

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