Normalized Wind Rose Plot help

Question

Douglas Leaffer 2023-6-22

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1986949-normalized-wind-rose-plot-help

评论： Star Strider 2023-12-22

winddata.mat

I am trying to generate a normalized (to the max) wind rose plot of air pollutant concentration (UFP) by wind direction. See photo below. A data vector is attached. The simple code: polarplot(N.WD_Deg,N.UFPConc) doesn't generate what I want. Any help is appreciated. Thank you

load winddata.mat

polarplot(N.WD_Deg,N.UFPConc)

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VBBV 2023-6-23

移动：VBBV 2023-6-25

在 MATLAB Online 中打开

winddata.mat

One way is to use the data for air pollution concentration directly and compare with direction data as shown below

Data = load('winddata.mat')

Data = struct with fields:

N: [133872×3 table]

Data.N;

%

subplot(121)

polarplot(Data.N.WD_Deg(1:10000:end),'linewidth',2,'Color','red')

title('Wind direction [deg]')

subplot(122) % normalized plot of air pollutant data

polarplot(Data.N.UFPConc(1:10000:end)./max(Data.N.UFPConc(1:10000:end)),'linewidth',2,'Color','red')

title('Air pollutant concentration')

since polarplot by default uses direction data for its axes, yoou can use that pollutant data directly. Othwerwise, you can also apply conditions for direction data bins and filter the air pollutant concentration data , then plot it. Further, the data points in the table are many, so its better to filter the air pollutant data using bin averaged directional means which will be representative of the air pollutant concentration

Douglas Leaffer 2023-6-24

移动：VBBV 2023-6-25

Thank you VBBV and Star Strider. Both of your suggested codes worked for me - but I can't seem to rotate the compass points to have 0 at the top and then clockwise ticks, with 90 deg at right, 180 at bottom and 270 at left. Is there a simple programmatic fix for this?

E. Cheynet 2023-6-25

For the direction with meteorological conventions, you can simply give a new direction newD = 90-oldD

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Answer 1

Star Strider 2023-6-23

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1986949-normalized-wind-rose-plot-help#answer_1261349

在 MATLAB Online 中打开

winddata.mat

Perhaps something like this —

LD = load('winddata.mat');

N = LD.N;

N.WD_Rad = deg2rad(N.WD_Deg) % Add Radian Variable (For Convenience, Since 'polarplot' Requires It)

N = 133872×4 table

WD_Deg WS UFPConc WD_Rad ______ ______ _______ ______ 30 25.927 0.11886 0.5236 30 25.927 0.13314 0.5236 30 25.927 0.16629 0.5236 30 25.927 0.15657 0.5236 30 25.927 0.15257 0.5236 30 25.927 0.15486 0.5236 30 25.927 0.12457 0.5236 30 25.927 0.12457 0.5236 30 25.927 0.15829 0.5236 30 25.927 0.13657 0.5236 30 25.927 0.124 0.5236 30 25.927 0.108 0.5236 30 25.927 0.10343 0.5236 30 25.927 0.12914 0.5236 30 25.927 0.18229 0.5236 30 25.927 0.19371 0.5236

[UDir,ix,iv] = unique(N.WD_Rad); % Unique Radian Values & Indices (Sorted)

Concv = accumarray(iv, (1:numel(iv)).', [], @(x)numel(N.UFPConc(x))); % Accumulate Count Values Of 'UFPConc' By Direction (Use 'numel' To Count Occurrences)

[sDir, sConc] = stairs(UDir, Concv); % Return 'stairs' Stepwise Result

figure

polarplot(sDir, sConc) % Plot 'stairs' Stepwise Result

figure

polarplot(UDir, Concv) % Plot Continuous Result

figure

polarhistogram(N.WD_Rad, UDir) % Plot Using 'polarhistogram'

Make appropriate changes to get the result you want.

Using the accumarray function, it is possible to get other parameters of the concentration, such as the mean or median values, as well as standard deviations (std and metrics derived from it, such as confidence intervals) and plot them also using the patch function (although that is more complicated and requires calculating them in polar coordinates and then using the pol2cart function first, and plotting them in Cartesian coordinates), not only the counts.

.

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Star Strider 2023-6-24

在 MATLAB Online 中打开

winddata.mat

It is straightforward to add those using the ThetaZeroLocation and ThetaDir properties (that I believe existed before R2022a, so you should have them) —

LD = load('winddata.mat');

N = LD.N;

N.WD_Rad = deg2rad(N.WD_Deg) % Add Radian Variable (For Convenience, Since 'polarplot' Requires It)

N = 133872×4 table

WD_Deg WS UFPConc WD_Rad ______ ______ _______ ______ 30 25.927 0.11886 0.5236 30 25.927 0.13314 0.5236 30 25.927 0.16629 0.5236 30 25.927 0.15657 0.5236 30 25.927 0.15257 0.5236 30 25.927 0.15486 0.5236 30 25.927 0.12457 0.5236 30 25.927 0.12457 0.5236 30 25.927 0.15829 0.5236 30 25.927 0.13657 0.5236 30 25.927 0.124 0.5236 30 25.927 0.108 0.5236 30 25.927 0.10343 0.5236 30 25.927 0.12914 0.5236 30 25.927 0.18229 0.5236 30 25.927 0.19371 0.5236

[UDir,ix,iv] = unique(N.WD_Rad); % Unique Radian Values & Indices (Sorted)

Concv = accumarray(iv, (1:numel(iv)).', [], @(x)numel(N.UFPConc(x))); % Accumulate Count Values Of 'UFPConc' By Direction (Use 'numel' To Count Occurrences)

[sDir, sConc] = stairs(UDir, Concv); % Return 'stairs' Stepwise Result

figure

polarplot(sDir, sConc) % Plot 'stairs' Stepwise Result

Ax = gca;

Ax.ThetaZeroLocation = 'top';

Ax.ThetaDir = 'clockwise';

figure

polarplot(UDir, Concv) % Plot Continuous Result

Ax = gca;

Ax.ThetaZeroLocation = 'top';

Ax.ThetaDir = 'clockwise';

figure

polarhistogram(N.WD_Rad, UDir) % Plot Using 'polarhistogram'

Ax = gca;

Ax.ThetaZeroLocation = 'top';

Ax.ThetaDir = 'clockwise';

.

Douglas Leaffer 2023-6-24

Excellent. It worked fine. Thank you

Star Strider 2023-6-24

As always, my pleasure!

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Answer 2

Douglas Leaffer 2023-12-22

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1986949-normalized-wind-rose-plot-help#answer_1376582

在 MATLAB Online 中打开

CR_1hr_wind.mat

Hello, it seems the plots generated from these suggested answers are not what I need. I need a normalized [0 1] wind rose of UFP (air pollution particle) by wind degree sector, as show in these 3 examples. My dataset is attached. The code I ran is given below. I could use some more help if anyone is able. Thank you.

load CR_1hr_wind.mat
NC = normalize(CT1,"norm",Inf,"DataVariables","UFPConc");
NC.WD_Rad = deg2rad(NC.WD_Deg)                                                % Add Radian Variable (For Convenience, Since 'polarplot' Requires It)
[UDir,ix,iv] = unique(NC.WD_Rad);                                            %  Unique Radian Values & Indices (Sorted)
Concv = accumarray(iv, (1:numel(iv)).', [], @(x)numel(NC.UFPConc(x)));       % Accumulate Count Values Of 'UFPConc' By Direction (Use 'numel' To Count Occurrences)
%[sDir, sConc] = stairs(UDir, Concv);                                        % Return 'stairs' Stepwise Result
%figure
%polarplot(sDir, sConc)  
figure
%subplot (121)
polarplot(UDir, Concv, 'LineWidth', 4)                                                      % Plot Continuous Result
Ax = gca;
Ax.ThetaZeroLocation = 'top';
Ax.ThetaDir = 'clockwise';

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Star Strider 2023-12-22

在 MATLAB Online 中打开

CR_1hr_wind.mat

To normalise them, divide by the maximum:

Concv = Concv/max(Concv);

Try this —

load CR_1hr_wind.mat

NC = normalize(CT1,"norm",Inf,"DataVariables","UFPConc");

NC.WD_Rad = deg2rad(NC.WD_Deg) % Add Radian Variable (For Convenience, Since 'polarplot' Requires It)

NC = 1887×4 table

WD_Deg WS UFPConc WD_Rad ______ ______ _______ _______ 320 14.816 0.65284 5.5851 310 16.668 0.58952 5.4105 350 11.112 0.83406 6.1087 340 12.964 0.80568 5.9341 80 16.668 0.76419 1.3963 90 14.816 0.6441 1.5708 80 24.075 0.50655 1.3963 70 25.927 0.50655 1.2217 70 24.075 0.5262 1.2217 80 18.52 0.57205 1.3963 60 14.816 0.58079 1.0472 50 12.964 0.73362 0.87266 40 14.816 0.50873 0.69813 50 7.4078 0.63755 0.87266 360 7.4078 0.48472 6.2832 0 0 0.6441 0

[UDir,ix,iv] = unique(NC.WD_Rad); % Unique Radian Values & Indices (Sorted)

Concv = accumarray(iv, (1:numel(iv)).', [], @(x)numel(NC.UFPConc(x))); % Accumulate Count Values Of 'UFPConc' By Direction (Use 'numel' To Count Occurrences)

%[sDir, sConc] = stairs(UDir, Concv); % Return 'stairs' Stepwise Result

%figure

%polarplot(sDir, sConc)

Concv = Concv/max(Concv);

figure

%subplot (121)

polarplot(UDir, Concv, 'LineWidth', 4) % Plot Continuous Result

Ax = gca;

Ax.ThetaZeroLocation = 'top';

Ax.ThetaDir = 'clockwise';

If you want to scale over different limits, use the rescale function.

If you intend something else, please be specific.

.

Douglas Leaffer 2023-12-22

That seems to be more of what I need. Thanks again

Star Strider 2023-12-22

As always, my pleasure!

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Normalized Wind Rose Plot help

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