t.rast.boxplot manual: edit html tags for options and flags

src/temporal/t.rast.boxplot/t.rast.boxplot.html

@@ -10,8 +10,8 @@ <h2>DESCRIPTION</h2>
 
 <p>
 The whiskers of the boxplots extend to the most extreme data point,
-which is no more than <i>range</i> &#10005; the interquartile range
-(iqr) from the box. By default, a <i>range</i> of 1.5 is used, but the
+which is no more than <b>range</b> &#10005; the interquartile range
+(iqr) from the box. By default, a <b>range</b> of 1.5 is used, but the
 user can change this. Note that range values need to be larger than 0.
 
 <p>
@@ -23,7 +23,7 @@ <h2>DESCRIPTION</h2>
 two time-series of, e.g., two different areas.
 
 <p>
-There are various option to format the boxplots, e.g., setting the
+There are various options to format the boxplots, e.g., setting the
 width and color of the boxplots, the color and thickness of the median
 line(s), whisker line width, and flier marker type and color.
 
@@ -35,57 +35,57 @@ <h2>DESCRIPTION</h2>
 cheatsheet</a>.
 
 <p>
-Alternatively, the user can set the <i>-d flag</i>. With this option,
+Alternatively, the user can set the <b>d</b> flag. With this option,
 an attempt is made to figure out the best tick locations and format to
 use, and to make the format as compact as possible while still having
 complete date information. Note, this will override the
-<i>data_format</i> setting. With this option, often not all boxplots
+<b>data_format</b> setting. With this option, often not all boxplots
 will get a label.
 
 <p>
 By default, the resulting plot is displayed on screen. However, the
-user can also save the plot to file using the <em>output</em> option.
+user can also save the plot to file using the <b>output</b> option.
 The format is determined by the extension given by the user. So, if
-output = outputfile.png, the plot will be saved as a *png* file. The
+output = outputfile.png, the plot will be saved as a PNG file. The
 user can set the output size (in inches) and resolution (dpi) of the
 output image.
 
 <h2>NOTE</h2>
 
-If you work with a large number of raster layers, of if the raster
-layers are very large, try to avoid setting the 'range' value very low,
+If you work with a large number of raster layers, or if the raster
+layers are very large, try to avoid setting the <b>range</b> value very low,
 as that may result in a massive number of outliers, slowing down the
 computations and rendering of the plot.
 
 <p>
-The t.rast.boxplot module operates on the raster array defined by the
+The <em>t.rast.boxplot</em> module operates on the raster array defined by the
 current region settings, not the original extent and resolution of the
 input map. See <a
 href="https://grass.osgeo.org/grass-stable/manuals/r.univar.html">g.region</a>
 to understand the impact of the region settings on the calculations.
 
 <p>
-You can change the width of the boxplot using the <i>bx_width</i>
-parameter. The default value is 0.75, which means that the boxplots
+You can change the width of the boxplot using the <b>bx_width</b>
+parameter. The default value is 0.75, which means that the boxplot is
 0.75 the maximum width between two consecutive periods. Importantly,
 the function uses the time stamp unit (see
 <a href="https://grass.osgeo.org/grass-stable/manuals/t.register.html">
 t.register</a>) to determine the maximum width. This means that if
 the time stamp unit is in days, but the raster layers represent e.g.,
-10-day periods, you need to multiply the <i>bx_width</i> value you would
+10-day periods, you need to multiply the <b>bx_width</b> value you would
 normally use by 10 to get the same relative width. See
 <a href="https://ecodiv.earth/post/drawing-boxplots-of-raster-values/">
 this post</a> for an example.
 
 <h2>EXAMPLE</h2>
 
 The first two examples use the MODIS Land Surface Temperature mapset.
-First download the North Caroline sample data set from <a
+First download the North Carolina sample data set from <a
 href="https://grass.osgeo.org/download/data/#NorthCarolinaDataset">this
 link</a>. Unzip the sample GRASS GIS dataset to a convenient location
-on your computer. Next, download the MODIS mapset (<a
-href="https://grass.osgeo.org/grass82/manuals/temporalintro.html">link</a>)
-and unzip this in the NC location of the NC database. Now, open the
+on your computer. Next, download the 
+<a href="https://grass.osgeo.org/sampledata/north_carolina/nc_spm_mapset_modis2015_2016_lst_grass8.zip">MODIS LST mapset</a>
+and unzip it within the NC project. Now, open the
 mapset in GRASS GIS.
 
 <h3>Example 1</h3>
@@ -110,17 +110,17 @@ <h3>Example 2</h3>
 
 We use the same example as above, but this time, we change the color of
 the boxplots and median lines to respectively green
-(<i>bx_color=green</i>) and white (<i>median_color=white</i>), use the
+(<b>bx_color=green</b>) and white (<b>median_color=white</b>), use the
 default plot dimensions, set the font size to 8, and include the
-outliers (<i>-o flag</i>). Note that by plotting the outliers will
+outliers (<b>o</b> flag). Note that by plotting the outliers will
 increase the time required to create the plot considerably.
 
 <p>
-For the outliers (fliers) we use orange squares (<i>flier_marker=s</i>
-& <i>flier_color=orange</i>). We furthermore plot the boxplots
-horizontally (<i>-h flag</i>) and add grid lines (<i>-g flag</i>. Note
+For the outliers (fliers) we use orange squares (<b>flier_marker=s</b>
+& <b>flier_color=orange</b>). We furthermore plot the boxplots
+horizontally (<b>h</b> flag) and add grid lines (<b>g</b> flag). Note
 that for horizontal plots, the labels are plotted horizontally (equal
-to rotate_labels=0) by default.
+to <b>rotate_labels=0</b>) by default.
 
 <p>
 <div class="code"><pre>
@@ -142,11 +142,11 @@ <h3>Example 2</h3>
 <h3>Example 3</h3>
 
 In the following example, the date labels are changed, showing the
-abbreviated name of the month, followed by the year (<i>date_format="%B
-%Y"</i>). The boxplot colors are set to white, and for the median line
+abbreviated name of the month, followed by the year (<b>date_format="%B
+%Y"</b>). The boxplot colors are set to white, and for the median line
 we set the color to orange and the line width to 2. Lastly, the labels
 are rotated 90&#8451; (the default for vertical plots is
-rotate_labels=45).
+<b>rotate_labels=45</b>).
 
 <p>
 <div class="code"><pre>
@@ -203,8 +203,8 @@ <h2>Acknowledgements</h2>
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="https://grass.osgeo.org/grass-stable/manuals/addons/r.boxplot.html">r.boxplot.html</a>,
-<a href="https://grass.osgeo.org/grass-stable/manuals/addons/r.series.boxplot.html">r.series.boxplot.html</a>,
+<a href="https://grass.osgeo.org/grass-stable/manuals/addons/r.boxplot.html">r.boxplot</a>,
+<a href="https://grass.osgeo.org/grass-stable/manuals/addons/r.series.boxplot.html">r.series.boxplot</a>,
 <a href="https://grass.osgeo.org/grass-stable/manuals/addons/d.vect.colbp.html">d.vect.colbp</a>,
 <a href="https://grass.osgeo.org/grass-stable/manuals/addons/r.scatterplot.html">r.scatterplot</a>,
 <a href="https://grass.osgeo.org/grass-stable/manuals/r.stats.zonal.html">r.stats.zonal</a>,