[R-sig-Geo] dissolve internal borders of polygons using st_union and group_by
Roger Bivand
Roger@B|v@nd @end|ng |rom nhh@no
Thu Oct 17 15:26:36 CEST 2019
On Thu, 17 Oct 2019, Marta Rufino wrote:
> Dear Roger,
>
> Thank you very much for your quick and dedicated response.
>
> Please state all versions:
>> sessionInfo()
>> sf_extSoftVersion()
>
> See bellow. I though it was a trivial issue, thus sorry for not reporting
> it earlier.
>
>
>> With an updated system, most of your code just does not work for me.
>
> Just updated everything, r included, and it still runs in my machine -
> perhaps because I failed to update to proj6 and I am still using proj4 - I
> will have to dedicate more time to overcome it. Is there sites that explain
> win-dummies installation?
You don't need to update yet, but modern PROJ will upset many workflows.
>
>
>> You
>> are looking for sf::aggregate():
>> kk <- aggregate(world_map, list(world_map$continent), head, n=1)
>> plot(st_geometry(kk))
>>
>
> This will be then a fourth option:
> # Answer from ROGER:
> kk4 <- aggregate(world_map, list(world_map$continent), head, n=1)
>
> object.size(kk4)
> kk4 %>%
> ggplot()+
> geom_sf()
>
> The sp_transform was simply to check if it was workable the produced file
> (in other cases, the code functioned, but then I could not work with the
> files produced) - so ok to remove it or change it.
>
> You example using rgeos is really nice and I am grateful for it, but I
> really wanted to understand how to do it overall so I can apply in other
> situations I am working with.
> I don't understand the difference between all those options, that
> apparently are giving the same result, but not so much in fact.
My attempts to use st_precision() to try to find a precision level
that removed the artefacts ended in segmentation faults, so the current
best workaround is as shown to use rgeos, until the correct sf incantation
is forthcoming.
Roger
>
> Any further ideas on the subject?
>
> Thank you once again,
> Best wishes,
> M.
>
>
>> sessionInfo()
> R version 3.6.1 (2019-07-05)
> Platform: x86_64-w64-mingw32/x64 (64-bit)
> Running under: Windows >= 8 x64 (build 9200)
>
> Matrix products: default
>
> locale:
> [1] LC_COLLATE=English_United Kingdom.1252
> [2] LC_CTYPE=English_United Kingdom.1252
> [3] LC_MONETARY=English_United Kingdom.1252
> [4] LC_NUMERIC=C
> [5] LC_TIME=English_United Kingdom.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods
> [7] base
>
> other attached packages:
> [1] rgeos_0.5-2 ggthemes_4.2.0 ggrepel_0.8.1
> [4] ggplot2_3.2.1 tidyr_1.0.0 scales_1.0.0
> [7] dplyr_0.8.3 reshape2_1.4.3 viridis_0.5.1
> [10] viridisLite_0.3.0 units_0.6-5 rnaturalearth_0.1.0
> [13] tmap_2.3-1 mapview_2.7.0 plotKML_0.5-9
> [16] lubridate_1.7.4 zoo_1.8-6 rasterVis_0.46
> [19] latticeExtra_0.6-28 RColorBrewer_1.1-2 lattice_0.20-38
> [22] raster_3.0-7 maptools_0.9-8 sf_0.8-0
> [25] gstat_2.0-3 rgdal_1.4-6 sp_1.3-1
>
> loaded via a namespace (and not attached):
> [1] colorspace_1.4-1 class_7.3-15 colorRamps_2.3
> [4] leaflet_2.0.2 htmlTable_1.13.2 satellite_1.0.1
> [7] base64enc_0.1-3 dichromat_2.0-0 rstudioapi_0.10
> [10] hexbin_1.27.3 fansi_0.4.0 codetools_0.2-16
> [13] splines_3.6.1 knitr_1.25 zeallot_0.1.0
> [16] Formula_1.2-3 tmaptools_2.0-2 cluster_2.1.0
> [19] png_0.1-7 shiny_1.4.0 compiler_3.6.1
> [22] backports_1.1.5 assertthat_0.2.1 Matrix_1.2-17
> [25] fastmap_1.0.1 lazyeval_0.2.2 cli_1.1.0
> [28] later_1.0.0 acepack_1.4.1 htmltools_0.4.0
> [31] tools_3.6.1 gtable_0.3.0 glue_1.3.1
> [34] Rcpp_1.0.2 vctrs_0.2.0 leafsync_0.1.0
> [37] crosstalk_1.0.0 lwgeom_0.1-7 xfun_0.10
> [40] stringr_1.4.0 mime_0.7 lifecycle_0.1.0
> [43] XML_3.98-1.20 MASS_7.3-51.4 promises_1.1.0
> [46] parallel_3.6.1 yaml_2.2.0 gridExtra_2.3
> [49] aqp_1.17 rpart_4.1-15 reshape_0.8.8
> [52] stringi_1.4.3 plotrix_3.7-6 e1071_1.7-2
> [55] checkmate_1.9.4 intervals_0.15.1 rlang_0.4.0
> [58] pkgconfig_2.0.3 pixmap_0.4-11 RSAGA_1.3.0
> [61] purrr_0.3.2 htmlwidgets_1.5.1 tidyselect_0.2.5
> [64] plyr_1.8.4 magrittr_1.5 R6_2.4.0
> [67] Hmisc_4.2-0 DBI_1.0.0 pillar_1.4.2
> [70] foreign_0.8-72 withr_2.1.2 shapefiles_0.7
> [73] xts_0.11-2 survival_2.44-1.1 nnet_7.3-12
> [76] tibble_2.1.3 spacetime_1.2-2 crayon_1.3.4
> [79] utf8_1.1.4 KernSmooth_2.23-15 grid_3.6.1
> [82] data.table_1.12.4 FNN_1.1.3 dismo_1.1-4
> [85] digest_0.6.21 classInt_0.4-1 webshot_0.5.1
> [88] xtable_1.8-4 httpuv_1.5.2 stats4_3.6.1
> [91] munsell_0.5.0
>> sf_extSoftVersion()
> GEOS GDAL proj.4 GDAL_with_GEOS
> "3.6.1" "2.2.3" "4.9.3" "true"
> USE_PROJ_H
> "false"
>>
>
>>
>>
>
--
Roger Bivand
Department of Economics, Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; e-mail: Roger.Bivand using nhh.no
https://orcid.org/0000-0003-2392-6140
https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en
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