[R-sig-Geo] mapView: basic interactive viewing of spatial data in R

Rainer M Krug Rainer at krugs.de
Tue Sep 1 10:08:41 CEST 2015

Tim Appelhans <tim.appelhans at gmail.com> writes:

> Dear list,
> after some really good discussions and good feedback at Geostat 2015
> summer school in Lancaster (Many thanks to Tom, Barry, Edzer, Roger
> and all the others for inviting me), I have now ported the mapView
> code into its own package called mapview (mind the small 'v'!)
> The package can be found at
> https://github.com/environmentalinformatics-marburg/mapview
> and can be installed using library(devtools)
> devtools::install_github("environmentalinformatics-marburg/mapview")
> Any suggestions, bug reports or feature requests should be filed here
> https://github.com/environmentalinformatics-marburg/mapview/issues

Thanks a lot.

I am looking forward of using this package a little bit more (at the
moment nothing spatial happening here)



> Cheers
> Tim
> On 24.07.2015 12:03, Rainer M Krug wrote:
>> Tim Appelhans <tim.appelhans at gmail.com> writes:
>>> Dear list members,
>>> I would like to draw your attention to a little 'project' I've been
>>> working on over the past few weeks.
>>> Using leaflet for R, I have defined some methods for spatial data (e.g.
>>> Raster*, Spatial* objects) to quickly visualise them in either the
>>> RStudio Viewer pan or the default web browser. The function I created
>>> for this is called mapView().
>>> Think of it as an interactive version of spplot()/plot() for spatial
>>> data (though less versatile). It enables zooming, paning and basic layer
>>> queries (i.e. printing of the attributes in the @data slot of Spatial*
>>> objects + the x/y location of the feature). For Raster* objects queries
>>> are currently not available as leaflet translates the data into RGB
>>> values for display. Furthermore, background maps can be defined and
>>> multiple different spatial object layers can be overlaid.
>>> At the moment mapView() lives in our Rsenal package on github
>>> (https://github.com/environmentalinformatics-marburg/Rsenal) but this is
>>> likely going to change at some point in the not too distant future. This
>>> also depends on whether there is active interest in developping this
>>> sort of thing further to provide more than the current admittedly rather
>>> limited functionality. This, however, would involve JavaScript coding
>>> which I do not have any experience with.
>>> A quick (non-interactive) intorduction can be found here:
>>> https://metvurst.wordpress.com/
>>> The full introductory article including interactive examples is
>>> published here:
>>> http://environmentalinformatics-marburg.github.io/web-presentations/20150723_mapView.html
>>> I hope this may prove useful for some of you.
>> This looks like something I was really missing! I was always exporting
>> my spatial data into GRASS and viewing it there - but this looks really
>> brilliant! This makes out of R a very powerful command line GIS.
>> I would really like to see this functionality in a separate R package on
>> CRAN - even with only its current functionality, it is very useful!
>> Thanks a lot and keep us posted,
>> Rainer
>>> Also, if anyone is keen to get involved in taking this further, please
>>> let me know and we will see how to best proceed.
>>> Best,
>>> Tim

Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany)

Centre of Excellence for Invasion Biology
Stellenbosch University
South Africa

Tel :       +33 - (0)9 53 10 27 44
Cell:       +33 - (0)6 85 62 59 98
Fax :       +33 - (0)9 58 10 27 44

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email:      Rainer at krugs.de

Skype:      RMkrug

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