[R-sig-Geo] mapview 1.2.0

[Bacou, Melanie]

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
>>>
>>
>