The windroseMap()
function creates a map using wind roses as markers.
Multiple layers of markers can be created using the type
argument. By
default, these maps are dynamic and can be panned, zoomed, and otherwise
interacted with. Using the static
argument allows for static images to be
produced instead.
Usage
windroseMap(
data,
ws.int = 2,
breaks = 4,
latitude = NULL,
longitude = NULL,
crs = 4326,
type = NULL,
popup = NULL,
label = NULL,
provider = "OpenStreetMap",
cols = "turbo",
alpha = 1,
key = FALSE,
legend = TRUE,
legend.position = NULL,
legend.title = NULL,
legend.title.autotext = TRUE,
control.collapsed = FALSE,
control.position = "topright",
control.autotext = TRUE,
d.icon = 200,
d.fig = 3.5,
static = FALSE,
static.nrow = NULL,
progress = TRUE,
n.core = 1L,
...,
control = NULL
)
Arguments
- data
Input data table with wind and geo-spatial information.
required | scope: dynamic & static
A data frame. The data frame must contain the data to plot the directional analysis marker, which includes wind speed (
ws
) and wind direction (wd
). In addition,data
must include a decimal latitude and longitude (or X/Y coordinate used in conjunction withcrs
).- ws.int
The wind speed interval of the colour axis.
default:
2
| scope: dynamic & staticThe wind speed interval. Default is 2 m/s but for low met masts with low mean wind speeds a value of 1 or 0.5 m/s may be better.
- breaks
Specifier for the number of breaks of the colour axis.
default:
4
| scope: dynamic & staticMost commonly, the number of break points for wind speed in
openair::windRose()
. For thews.int
default of2
, the defaultbreaks
,4
, generates the break points 2, 4, 6, and 8. Breaks can also be used to set specific break points. For example, the argument `breaks = c(0, 1, 10, 100)“ breaks the data into segments <1, 1-10, 10-100, >100.- latitude, longitude
The decimal latitude(Y)/longitude(X).
default:
NULL
| scope: dynamic & staticColumn names representing the decimal latitude and longitude (or other Y/X coordinate if using a different
crs
). If not provided, will be automatically inferred from data by looking for a column named "lat"/"latitude" or "lon"/"lng"/"long"/"longitude" (case-insensitively).- crs
The coordinate reference system (CRS).
default:
4326
| scope: dynamic & staticThe coordinate reference system (CRS) of the data, passed to
sf::st_crs()
. By default this is EPSG:4326, the CRS associated with the commonly used latitude and longitude coordinates. Different coordinate systems can be specified usingcrs
(e.g.,crs = 27700
for the British National Grid). Note that non-lat/lng coordinate systems will be re-projected to EPSG:4326 for plotting on the map.- type
A method to condition the
data
for separate plotting.default:
NULL
| scope: dynamic & staticUsed for splitting the input data into different groups, passed to the
type
argument ofopenair::cutData()
. Whentype
is specified:Dynamic: The different data splits can be toggled between using a "layer control" menu.
Static:: The data splits will each appear in a different panel.
type
cannot be used if multiplepollutant
columns have been provided.- popup
Content for marker popups on dynamic maps.
default:
NULL
| scope: dynamicColumns to be used as the HTML content for marker popups on dynamic maps. Popups may be useful to show information about the individual sites (e.g., site names, codes, types, etc.). If a vector of column names are provided they are passed to
buildPopup()
using its default values.- label
Content for marker hover-over on dynamic maps.
default:
NULL
| scope: dynamicColumn to be used as the HTML content for hover-over labels. Labels are useful for the same reasons as popups, though are typically shorter.
- provider
The basemap(s) to be used.
default:
"OpenStreetMap"
| scope: dynamic & staticThe base map(s) to be used beneath the polar markers. If not provided, will default to
"OpenStreetMap"
/"osm"
for both dynamic and static maps.Dynamic: Any number of leaflet::providers. See http://leaflet-extras.github.io/leaflet-providers/preview/ for a list of all base maps that can be used. If multiple base maps are provided, they can be toggled between using a "layer control" interface. By default, the interface will use the provider names as labels, but users can define their own using a named vector (e.g.,
c("Default" = "OpenStreetMap", "Satellite" = "Esri.WorldImagery")
)Static: One of
rosm::osm.types()
.
There is some overlap in static and dynamic providers. For example,
{ggspatial}
uses "osm" to specify "OpenStreetMap". When static providers are provided to dynamic maps or vice versa,{openairmaps}
will attempt to substitute the correct provider string.- cols
Colours to use for plotting.
default:
"turbo"
| scope: dynamic & staticThe colours used for plotting, passed to
openair::openColours()
. The default,"turbo"
, is a rainbow palette with relatively perceptually uniform colours.- alpha
Transparency value for polar markers.
default:
1
| scope: dynamic & staticA value between 0 (fully transparent) and 1 (fully opaque).
- key
Draw individual marker legends?
default:
FALSE
| scope: dynamic & staticDraw a key for each individual marker? Potentially useful when
limits = "free"
, but of limited use otherwise.- legend
Draw a shared legend?
default:
TRUE
| scope: dynamic & staticWhen all markers share the same colour scale (e.g., when
limits != "free"
inpolarMap()
), should a shared legend be created at the side of the map?- legend.position
Position of the shared legend.
default:
NULL
| scope: dynamic & staticWhen
legend = TRUE
, where should the legend be placed?Dynamic: One of "topright", "topright", "bottomleft" or "bottomright". Passed to the
position
argument ofleaflet::addLegend()
.Static:: One of "top", "right", "bottom" or "left". Passed to the
legend.position
argument ofggplot2::theme()
.
- legend.title
Title of the legend.
default:
NULL
| scope: dynamic & staticBy default, when
legend.title = NULL
, the function will attempt to provide a sensible legend title.legend.title
allows users to overwrite this - for example, to include units or other contextual information. For dynamic maps, users may wish to use HTML tags to format the title.- legend.title.autotext
Automatically format the title of the legend?
default:
TRUE
| scope: dynamic & staticWhen
legend.title.autotext = TRUE
,legend.title
will be first run throughquickTextHTML()
(dynamic) oropenair::quickText()
(static).- control.collapsed
Show the layer control as a collapsed?
default:
FALSE
| scope: dynamicFor dynamic maps, should the "layer control" interface be collapsed? If
TRUE
, users will have to hover over an icon to view the options.- control.position
Position of the layer control menu
default:
"topright"
| scope: dynamicWhen
type != NULL
, or multiple pollutants are specified, where should the "layer control" interface be placed? One of "topleft", "topright", "bottomleft" or "bottomright". Passed to theposition
argument ofleaflet::addLayersControl()
.- control.autotext
Automatically format the content of the layer control menu?
default:
TRUE
| scope: dynamicWhen
control.autotext = TRUE
, the content of the "layer control" interface will be first run throughquickTextHTML()
.- d.icon
The diameter of the plot on the map in pixels.
default:
200
| scope: dynamic & staticThis will affect the size of the individual polar markers. Alternatively, a vector in the form
c(width, height)
can be provided if a non-circular marker is desired.- d.fig
The diameter of the plots to be produced using
{openair}
in inches.default:
3.5
| scope: dynamic & staticThis will affect the resolution of the markers on the map. Alternatively, a vector in the form
c(width, height)
can be provided if a non-circular marker is desired.- static
Produce a static map?
default:
FALSE
This controls whether a dynamic or static map is produced. The former is the default and is broadly more useful, but the latter may be preferable for DOCX or PDF outputs (e.g., academic papers).
- static.nrow
Number of rows in a static map.
default:
NULL
| scope: staticControls the number of rows of panels on a static map when multiple
pollutant
s ortype
are specified; passed to thenrow
argument ofggplot2::facet_wrap()
. The default,NULL
, results in a roughly square grid of panels.- progress
Show a progress bar?
default:
TRUE
| scope: dynamic & staticBy default, a progress bar is shown to visualise the function's progress creating individual polar markers. This option allows this to be turned off, if desired.
- n.core
Number of cores to use in parallel processing.
default:
1L
| scope: dynamic & staticBy default, each polar marker is drawn and saved sequentially. For big maps with a lot of markers, this can be slow. Adjusting
n.core
to a number greater than1
will use mirai to create markers in parallel.- ...
Arguments passed on to
openair::windRose
ws
Name of the column representing wind speed.
wd
Name of the column representing wind direction.
ws2,wd2
The user can supply a second set of wind speed and wind direction values with which the first can be compared. See
pollutionRose()
for more details.angle
Default angle of “spokes” is 30. Other potentially useful angles are 45 and 10. Note that the width of the wind speed interval may need adjusting using
width
.calm.thresh
By default, conditions are considered to be calm when the wind speed is zero. The user can set a different threshold for calms be setting
calm.thresh
to a higher value. For example,calm.thresh = 0.5
will identify wind speeds below 0.5 as calm.bias.corr
When
angle
does not divide exactly into 360 a bias is introduced in the frequencies when the wind direction is already supplied rounded to the nearest 10 degrees, as is often the case. For example, ifangle = 22.5
, N, E, S, W will include 3 wind sectors and all other angles will be two. A bias correction can made to correct for this problem. A simple method according to Applequist (2012) is used to adjust the frequencies.grid.line
Grid line interval to use. If
NULL
, as in default, this is assigned based on the available data range. However, it can also be forced to a specific value, e.g.grid.line = 10
.grid.line
can also be a list to control the interval, line type and colour. For examplegrid.line = list(value = 10, lty = 5, col = "purple")
.width
For
paddle = TRUE
, the adjustment factor for width of wind speed intervals. For example,width = 1.5
will make the paddle width 1.5 times wider.seg
When
paddle = TRUE
,seg
determines with width of the segments. For example,seg = 0.5
will produce segments 0.5 *angle
.auto.text
Either
TRUE
(default) orFALSE
. IfTRUE
titles and axis labels will automatically try and format pollutant names and units properly, e.g., by subscripting the ‘2’ in NO2.offset
The size of the 'hole' in the middle of the plot, expressed as a percentage of the polar axis scale, default 10.
normalise
If
TRUE
each wind direction segment is normalised to equal one. This is useful for showing how the concentrations (or other parameters) contribute to each wind sector when the proportion of time the wind is from that direction is low. A line showing the probability that the wind directions is from a particular wind sector is also shown.max.freq
Controls the scaling used by setting the maximum value for the radial limits. This is useful to ensure several plots use the same radial limits.
paddle
Either
TRUE
orFALSE
. IfTRUE
plots rose using 'paddle' style spokes. IfFALSE
plots rose using 'wedge' style spokes.key.header
Adds additional text/labels above the scale key. For example, passing
windRose(mydata, key.header = "ws")
adds the addition text as a scale header. Note: This argument is passed todrawOpenKey()
viaquickText()
, applying the auto.text argument, to handle formatting.key.footer
Adds additional text/labels below the scale key. See
key.header
for further information.key.position
Location where the scale key is to plotted. Allowed arguments currently include “top”, “right”, “bottom” and “left”.
dig.lab
The number of significant figures at which scientific number formatting is used in break point and key labelling. Default 5.
include.lowest
Logical. If
FALSE
(the default), the first interval will be left exclusive and right inclusive. IfTRUE
, the first interval will be left and right inclusive. Passed to theinclude.lowest
argument ofcut()
.statistic
The
statistic
to be applied to each data bin in the plot. Options currently include “prop.count”, “prop.mean” and “abs.count”. The default “prop.count” sizes bins according to the proportion of the frequency of measurements. Similarly, “prop.mean” sizes bins according to their relative contribution to the mean. “abs.count” provides the absolute count of measurements in each bin.pollutant
Alternative data series to be sampled instead of wind speed. The
windRose()
default NULL is equivalent topollutant = "ws"
. Use inpollutionRose()
.angle.scale
The scale is by default shown at a 315 degree angle. Sometimes the placement of the scale may interfere with an interesting feature. The user can therefore set
angle.scale
to another value (between 0 and 360 degrees) to mitigate such problems. For exampleangle.scale = 45
will draw the scale heading in a NE direction.border
Border colour for shaded areas. Default is no border.
- control
Deprecated. Please use
type
.
Value
Either:
Dynamic: A leaflet object
Static: A
ggplot2
object usingggplot2::coord_sf()
coordinates with aggspatial
basemap
Customisation of static maps using ggplot2
As the outputs of the static directional analysis functions are ggplot2
figures, further customisation is possible using functions such as
ggplot2::theme()
, ggplot2::guides()
and ggplot2::labs()
.
If multiple pollutants are specified, subscripting (e.g., the "x" in "NOx")
is achieved using the ggtext package. Therefore if you
choose to override the plot theme, it is recommended to use
[ggplot2::theme()]
and [ggtext::element_markdown()]
to define the
strip.text
parameter.
When arguments like limits
, percentile
or breaks
are defined, a
legend is automatically added to the figure. Legends can be removed using
ggplot2::theme(legend.position = "none")
, or further customised using
ggplot2::guides()
and either color = ggplot2::guide_colourbar()
for
continuous legends or fill = ggplot2::guide_legend()
for discrete
legends.
See also
Other directional analysis maps:
annulusMap()
,
diffMap()
,
freqMap()
,
percentileMap()
,
polarMap()
,
pollroseMap()