how to define global coastline shapefile (boundary line) for a pcolor plot of data having range from 0 to 360 instead of -180 to 180

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Muskula 2024-7-27

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评论： Umar 2024-7-30

SST_1year.mat

Hello all,

I was juts doing some seasurface temperature plots which has the range longitude from 0 to 360, the sample plot and data set(a single year data file is shared since the entire data set is too large to share) is attached below.

I would like highlight the coastline for this plot, which i wasnt able to do.

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Umar 2024-7-28

Hi Muskula,

To accomplish your task,load the sea surface temperature data from the provided SST_1year.mat file.

load('SST_1year.mat');

Plot the sea surface temperature data with the longitude range from 0 to 360.

figure;

imagesc(lon, lat, sst_data);

colorbar;

xlabel('Longitude');

ylabel('Latitude');

title('Sea Surface Temperature Plot');

Then, highlight the coastline by overlaying a coastline map on your existing plot by using the coast function from the Mapping Toolbox if available.

% Check if Mapping Toolbox is available

if license('test', 'map_toolbox')

    hold on;

    coast = load('coast.mat');

    plot(coast.long, coast.lat, 'k'); % Plot coastline in black color

    hold off;

else

    disp('Mapping Toolbox is required to plot the coastline.');

end

To define a global coastline shapefile for a pcolor plot in Matlab with a data range from 0 to 360, you can adjust the longitude values of the coastline data. You need to shift the coastline data points that fall in the range of 180 to 360 to negative values by subtracting 360 from them. This adjustment aligns the coastline data with the desired longitude range. Here is a simple example to illustrate this adjustment:

% Load coastline data

load coast

% Adjust coastline data for range 0 to 360

coast(coast(:, 1) >= 180, 1) = coast(coast(:, 1) >= 180, 1) - 360;

% Plot pcolor with adjusted coastline

figure

pcolor(X, Y, C)

hold on

plot(coast(:, 1), coast(:, 2), 'k')

Hope this answers your questions. Good luck

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Answer 1

Muskula 2024-7-28

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此回答的直接链接

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Thank you Umar for your reply,

I have tried the way that you have mentioned but it displays the following error

Error using load

Unable to find file or directory 'coast.mat'

To add, the mapping tool box is already installed and I am using Matlab R2022b version does the version needed to be updated?

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Muskula 2024-7-29

I have modified the code but it shows some random horizontal lines,

I am attaching the plot as well as the updated code for your reference

clc;

clear all;

% Load sea surface temperature data

load('SST_1year.mat');

sst_data = SST;

% Determine the size of the SST data

[lat_dim, lon_dim, time_dim] = size(sst_data);

% Generate latitude and longitude vectors

lat = linspace(-90, 90, lat_dim);

lon = linspace(0, 360, lon_dim);

% Plot the sea surface temperature data

figure;

imagesc(lon, lat, sst_data(:,:,1)); % Display the first time slice

colorbar;

xlabel('Longitude');

ylabel('Latitude');

title('Sea Surface Temperature Plot');

set(gca, 'YDir', 'normal'); % Correct the Y-axis direction

% Check if Mapping Toolbox is available

if license('test', 'map_toolbox')

hold on;

% Check if 'coastlines.mat' is available

if exist('coastlines.mat', 'file')

coast = load('coastlines.mat');

% Check the fields of the coast structure

disp('Fields in coast structure:');

disp(fieldnames(coast));

% Assuming the fields are 'coastlat' and 'coastlon'

coastlon = coast.coastlon;

coastlat = coast.coastlat;

% Adjust coastline data for longitude range 0 to 360

coastlon(coastlon < 0) = coastlon(coastlon < 0) + 360;

% Plot coastline

plot(coastlon, coastlat, 'k');

else

disp('coastlines.mat not found. Plotting using built-in coast data.');

% Use built-in coast data

load coastlines;

% coastlon = coastlon;

% coastlat = coastlat;

% Adjust coastline data for longitude range 0 to 360

coastlon(coastlon < 0) = coastlon(coastlon < 0) + 360;

% Plot coastline

plot(coastlon, coastlat, 'k');

end

hold off;

else

disp('Mapping Toolbox is required to plot the coastline.');

end

% Load global coastline shapefile if available

if exist('coastlines.mat', 'file')

load('coastlines.mat');

else

disp('coastlines.mat not found. Plotting using built-in coast data.');

% Use built-in coast data

load coastlines;

end

% Check the fields of the coast structure

disp('Fields in coast structure:');

disp(fieldnames(coast));

% Adjust coastline data for range 0 to 360

longitudes = coast.lon;

latitudes = coast.lat;

% Adjust longitudes for correct plotting

longitudes(longitudes < 0) = longitudes(longitudes < 0) + 360;

% Plot pcolor with adjusted coastline

figure;

pcolor(lon, lat, sst_data(:,:,1)); % Display the first time slice

shading flat;

colorbar;

hold on;

plot(longitudes, latitudes, 'k');

xlabel('Longitude');

ylabel('Latitude');

title('Sea Surface Temperature with Coastline');

hold off;

Umar 2024-7-29

Hi @Muskula,

Here are a few possible causes and corresponding solutions.Random horizontal lines can sometimes be caused by artifacts in the data itself. These artifacts may arise due to measurement errors or inconsistencies in the data collection process. To address this, you can try applying data smoothing techniques to reduce the impact of these artifacts on the plot.One common smoothing technique is the moving average filter. This filter replaces each data point with the average of its neighboring points within a specified window size. By smoothing the data, you can reduce the impact of outliers and artifacts, resulting in a cleaner plot.Here's an example of how to apply a moving average filter to the sea surface temperature data before plotting:

% Apply moving average filter to the sea surface temperature data

windowSize = 5; % Adjust the window size as needed

smoothed_data = movmean(sst_data(:,:,1), windowSize);

% Plot the smoothed sea surface temperature data

figure;

imagesc(lon, lat, smoothed_data);

colorbar;

xlabel('Longitude');

ylabel('Latitude');

title('Smoothed Sea Surface Temperature Plot');

set(gca, 'YDir', 'normal');

Another possible cause of random horizontal lines is artifacts introduced during the plotting process. These artifacts can occur due to issues with the rendering engine or the way the plot is displayed on the screen.To address this, you can try using a different plotting function or adjusting the plot settings to minimize these artifacts. In the provided code, the imagesc function is used to create the plot. You can experiment with alternative plotting functions, such as pcolor or contourf, to see if they produce a cleaner plot.Here's an example of how to use the pcolor function instead of imagesc:

% Plot the sea surface temperature data using pcolor

figure;

pcolor(lon, lat, sst_data(:,:,1));

shading flat;

colorbar;

xlabel('Longitude');

ylabel('Latitude');

title('Sea Surface Temperature Plot');

set(gca, 'YDir', 'normal');

If the above solutions do not resolve the issue, it is possible that the data itself requires additional preprocessing before plotting. This could involve handling missing or invalid data points, normalizing the data, or applying other data transformations.For example, if the sea surface temperature data contains missing values represented by NaN (Not-a-Number), you can replace these values with an appropriate fill value before plotting. This can be done using the isnan function and logical indexing.

% Replace NaN values with a fill value

fill_value = 0; % Adjust the fill value as needed

sst_data(isnan(sst_data)) = fill_value;

% Plot the sea surface temperature data with NaN values replaced

figure;

imagesc(lon, lat, sst_data(:,:,1));

colorbar;

xlabel('Longitude');

ylabel('Latitude');

title('Sea Surface Temperature Plot (NaN replaced)');

set(gca, 'YDir', 'normal');

By addressing these possible causes and implementing the corresponding solutions, you can fix the issue of random horizontal lines appearing in the plot of sea surface temperature data.

Muskula 2024-7-30

Hello Umar,

Thank you very much for your time and patience in addressing all my queries.

The issue is solved now, the problem was with my version of matlab, I updated to latest version and the issue is sorted now.

Thank you once again!

Umar 2024-7-30

Hi Muskula,

No problem, glad to help out. It’s a good sign that issue is resolved. Please let me know if you have any further questions.

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how to define global coastline shapefile (boundary line) for a pcolor plot of data having range from 0 to 360 instead of -180 to 180

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how to define global coastline shapefile (boundary line) for a pcolor plot of data having range from 0 to 360 instead of -180 to 180

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