Kumar Mainali
2016-Jun-05 22:35 UTC
[R] dissolve tiny polygons to others with unionSpatialPolygons{maptools}
I am trying to use unionSpatialPolygons() of maptools to eliminate sliver in species range. I want to dissolve tiny sliver polygons in a shapefile to bigger polygons as "Eliminate (Data Management)" of ArcMap does. Whereas I can dissolve polygons that have identical features in the argument "IDs", I cannot dissolve tiny polygons based on some threshold in area. In fact, the argument "threshold" has no effect in the output. ?Input data is available here: ? https://www.dropbox.com/sh/a0x5bbo9u60y7is/AAB6RjXHFQKZv-i-t4JclF3ba?dl=0 p.ranges <- shapefile{raster} (IDs <- p.ranges$style_id) library(maptools) unionSpatialPolygons(p.ranges, IDs = IDs, threshold = 1.5) ?-- Kumar Mainali Postdoctoral Associate Department of Biology University of Maryland, College Park ? [[alternative HTML version deleted]]
Roger Bivand
2016-Jun-06 13:24 UTC
[R] dissolve tiny polygons to others with unionSpatialPolygons{maptools}
On Mon, 6 Jun 2016, Kumar Mainali wrote:> I am trying to use unionSpatialPolygons() of maptools to eliminate sliver > in species range. I want to dissolve tiny sliver polygons in a shapefile to > bigger polygons as "Eliminate (Data Management)" of ArcMap does. Whereas I > can dissolve polygons that have identical features in the argument "IDs", I > cannot dissolve tiny polygons based on some threshold in area. In fact, the > argument "threshold" has no effect in the output.Indeed, threshold is not passed through, it was used when the function used gpclib rather than rgeos; I'm minded to deprecate maptools::unionSpatialPolygons anyway. Note that the data are in geographical coordinates, which may very well not be appropriate for the topological operations you are trying to do. Use rgeos::gUnaryUnion instead, and refer to this thread: https://stat.ethz.ch/pipermail/r-sig-geo/2015-November/023667.html for using rgeos::set_RGEOS_polyThreshold() and friends. They do not, however, try to guess which of the polygons neighbouring the sliver should get the extra area, so you'll have to think that through yourself. Googling for lists:R-sig-geo dissolve slivers gets a fair number of hits. There is always also the upstream question of where the slivers came from, and whether the resolution is not in the earlier process - generate a map without slivers that says exactly what you mean, rather than fudging it afterwards. Roger> > ?Input data is available here: ? > https://www.dropbox.com/sh/a0x5bbo9u60y7is/AAB6RjXHFQKZv-i-t4JclF3ba?dl=0 > > p.ranges <- shapefile{raster} > (IDs <- p.ranges$style_id) > library(maptools) > unionSpatialPolygons(p.ranges, IDs = IDs, threshold = 1.5) > > ?-- Kumar Mainali > Postdoctoral Associate > Department of Biology > University of Maryland, College Park > > > ? >-- Roger Bivand Department of Economics, Norwegian School of Economics, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 91 00 e-mail: Roger.Bivand at nhh.no http://orcid.org/0000-0003-2392-6140 https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en http://depsy.org/person/434412
Kumar Mainali
2016-Jun-06 18:12 UTC
[R] dissolve tiny polygons to others with unionSpatialPolygons{maptools}
Thank you, Roger. I cannot fix the upstream processes to eliminate generation of these problems. So, I need to deal with the data I got. I tried various online resources including https://gist.github.com/mstrimas/1b4a4b93a9d4a158bce4 and tried: setScales() set_RGEOS_dropSlivers(TRUE) set_RGEOS_polyThreshold() before performing: gUnaryUnion(p.ranges, id=NULL) This eliminates the slivers but it also dissolves ALL the polygons to get a single polygon. That is not something I wanted. I would like to dissolve only the tiny polygons to the neighboring bigger ones. Any help is very much appreciated! ? Postdoctoral Associate Department of Biology University of Maryland, College Park On Mon, Jun 6, 2016 at 9:24 AM, Roger Bivand <Roger.Bivand at nhh.no> wrote:> On Mon, 6 Jun 2016, Kumar Mainali wrote: > > I am trying to use unionSpatialPolygons() of maptools to eliminate sliver >> in species range. I want to dissolve tiny sliver polygons in a shapefile >> to >> bigger polygons as "Eliminate (Data Management)" of ArcMap does. Whereas I >> can dissolve polygons that have identical features in the argument "IDs", >> I >> cannot dissolve tiny polygons based on some threshold in area. In fact, >> the >> argument "threshold" has no effect in the output. >> > > Indeed, threshold is not passed through, it was used when the function > used gpclib rather than rgeos; I'm minded to deprecate > maptools::unionSpatialPolygons anyway. Note that the data are in > geographical coordinates, which may very well not be appropriate for the > topological operations you are trying to do. Use rgeos::gUnaryUnion > instead, and refer to this thread: > > https://stat.ethz.ch/pipermail/r-sig-geo/2015-November/023667.html > > for using rgeos::set_RGEOS_polyThreshold() and friends. They do not, > however, try to guess which of the polygons neighbouring the sliver should > get the extra area, so you'll have to think that through yourself. > > Googling for lists:R-sig-geo dissolve slivers gets a fair number of hits. > > There is always also the upstream question of where the slivers came from, > and whether the resolution is not in the earlier process - generate a map > without slivers that says exactly what you mean, rather than fudging it > afterwards. > > Roger > > >> ?Input data is available here: ? >> https://www.dropbox.com/sh/a0x5bbo9u60y7is/AAB6RjXHFQKZv-i-t4JclF3ba?dl=0 >> >> p.ranges <- shapefile{raster} >> (IDs <- p.ranges$style_id) >> library(maptools) >> unionSpatialPolygons(p.ranges, IDs = IDs, threshold = 1.5) >> >> ?-- Kumar Mainali >> Postdoctoral Associate >> Department of Biology >> University of Maryland, College Park >> >> >> ? >> >> > -- > Roger Bivand > Department of Economics, Norwegian School of Economics, > Helleveien 30, N-5045 Bergen, Norway. > voice: +47 55 95 93 55; fax +47 55 95 91 00 > e-mail: Roger.Bivand at nhh.no > http://orcid.org/0000-0003-2392-6140 > https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en > http://depsy.org/person/434412[[alternative HTML version deleted]]