Tim,
Thanks for taking the time to lay out some of the key differences. I
look forward to trying these out.
I recall a recent thread on using QGIS canvas in R for quick
visualization as well. Might be worth trying to consolidate some of
these -- all excellent -- projects (?)
https://stat.ethz.ch/pipermail/r-sig-geo/2016-August/024817.html
--Mel.
On 9/20/2016 5:36 AM, Tim Appelhans wrote:
Mel,
this is I think a matter of the definition of 'quick'. mapview
provides one line viewing of spatial data.
With mapview(x) you get:
- 5 different background maps
- fully queryable features (i.e. complete attribute table of x in popups)
- info on mouse coordinates and zoom level
- a scale bar (if the installed version of leaflet provides this)
- labels showing feature ID
- zoom-to-layer buttons
Also, mapview lets you add spatial features easily to existing maps
with the "+" operator:
mapview(x) + viewExtent(y) + z
will add z and the extent/bounding box of y to a map of x (where x, y,
z are all spatial*/raster* objects). This means that mapview will call
the appropriate add* function from leaflet depending on the supplied
object (z) so you won't have to type these.
In general, mapview is intended for quick and convenient viewing of
spatial data. tmap and leaflet focus more on the creation of
presentation grade maps and hence require more effort (lines of code)
to view things. This is great if you want to produce your final map,
but a bit cumbersome if you just quickly wanna check what your current
analysis step looks like.
In addition there are convenience functions for larger data sets,
especially rasters such as plainview() which will render rasters with
any CRS of up to 10 million pixels quickly, though without background
maps.
Large vector data can also be viewed quickly and conveniently for data
up to about 3 million points (or line/polygon vertexes) including
background map.
Additional functionality includes:
- latticeview and sync to view multiple (potentially synchronised)
maps next to each other (i.e. small multiples - similar to panels in
lattice / facets in ggplot2)
- slideview to compare two raster* objects in a before-after like fashion
- viewExtent to view the extent (bounding box) of a spatial*/raster*
object
- viewRGB to view an rgb image of a raster stack (similar to
raster::plotRGB)
There are also a few popup-related functions:
- popupTable to create attribute table popups
- popupGraph to include lattice or ggplot2 or htmlwidgets graphs
(plots) in the popups of features
- popupImage to include images in the popups (jpg, svg, png, gif, ...)
Have a look at the online manual at
http://environmentalinformatics-marburg.github.io/mapview/introduction.html
which has all the details.
HTH
Tim
On 20.09.2016 11:06, Bacou, Melanie wrote:
Tim,
Both `leaflet` and `tmap` currently offer quick interactive
visualization of geospatial data in R. Does `mapview` provide
different functionality at this point?
https://rstudio.github.io/leaflet/
https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html
Thx, --Mel.
On 9/20/2016 4:11 AM, Tim Appelhans wrote:
Dear list members,
2 days ago we have released a new version of the mapview package.
Notable new features are:
1. addHomeButton() to add zoom-to-layer buttons to a leaflet map (by
default included mapview calls)
2. addLogo() to add an image to the map canvas, e.g. your
institution's/company's logo (see following tweet for an example
with a dancing banana :-) )
https://twitter.com/TimSalabim3/status/776712613673730048
In addition several bugfixes and some performance improvements for
raster image rendering in plainview().
The full list of changes can be found at
https://github.com/environmentalinformatics-marburg/mapview/blob/master/NEWS
As always, please file bug reports and/or feature requests here:
https://github.com/environmentalinformatics-marburg/mapview/issues
Enjoy!
Tim
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