[R-sig-Geo] Plotting USA map with each state's shape or size reflective of a metric
Hi everyone, Does anyone know if this is possible with R? An example can be found here: http://projects.fivethirtyeight.com/2016-election-forecast/ (a few plots down). Appreciate any references you point me to. Thanks! Vinh [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] best practice for reading large shapefiles?
On Tue, Apr 26, 2016 at 1:12 PM, Roger Bivand <roger.biv...@nhh.no> wrote: > On Tue, 26 Apr 2016, Vinh Nguyen wrote: > >> Would loading the shapefile into postgresql first and then use readOGR >> to read from postgres be a recommended approach? That is, would the >> bottleneck still occur? Thank you. > > > Most likely, as both use the respective OGR drivers. With data this size, > you'll need a competent platform (probably Linux, say 128GB RAM) as > everything is in memory. I find it hard to grasp what the point of doing > this might be - visualization won't work as none of the considerable detail > certainly in these files will be visible. Can you put the lot into an SQLite > file and access the attributes as SQL queries? I don't see the analysis or > statistics here. > - I can't tell from your response whether you are recommending PostGIS is a recommended approach or not. Could you clarify? - I am working on a Windows server with 64gb ram, so not too weak, especially for some files that are a few gb in size. Again, not sure if the job just halted or it's still running, but just rather slow. I've killed it for now as the memory usage still has not grown after a few hours. - Yes, the shapes are quite granular and many in quantity. The use case was not to visualize them all at once. Wanted a master file so that when I get a data set of interest, I could intersect the two and then subset the areas of interest (eg, within a state or county). Then visualize/analyze from there. The master shapefile was meant to make it easy (reading in one file) as opposed to deciding which shapefile to read in depending on the project. - I just looked back at the 30 PLSS zip files, and they provide shapes for 3 levels of granularity. I went with the smallest. I just realized that the mid-size one would be sufficient for now, which results in dbf=138mb and shp=501mb. Attempting to read this in now (~ 30 minutes), which I assume will read in fine after some time. Will respond to this thread if this is not the case. Thanks for responding Roger. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] best practice for reading large shapefiles?
Would loading the shapefile into postgresql first and then use readOGR to read from postgres be a recommended approach? That is, would the bottleneck still occur? Thank you. -- Vinh On Tue, Apr 26, 2016 at 11:18 AM, Vinh Nguyen <vinhdi...@gmail.com> wrote: > Hi, > > I have a very large shapefile that I would like to read into R > (dbf=5.6gb and shp=2.3gb). > > For reference, I downloaded the 30 shapefiles of the [Public Land > Survey System](http://www.geocommunicator.gov/GeoComm/lsis_home/home/) > and combined them into a single national file via gdal (ogr2ogr) as > described > [here](http://www.northrivergeographic.com/ogr2ogr-merge-shapefiles); > I originally attempted to combine the files in R as described > [here](https://stat.ethz.ch/pipermail/r-sig-geo/2011-May/011814.html), > but ran out of memory about 80% in, but luckily discovered ogr2ogr. > > I'm reading in the combined file in R via readOGR, and it's been over > an hour and R appears to hang. When I check the task manager, the R > session currently consumes <10% CPU and 245MB. Not sure if any > productive activity is going on, so I'm just waiting it out. > [This](http://r-sig-geo.2731867.n2.nabble.com/Long-time-to-load-shapefiles-td7584869.html) > thread describes that readOGR can be slow for large shapefiles, and > suggested that the SpatialDataFrame be saved in an R format. My > problem is getting the entire shapefile read in the first place before > I could save it as an R object. > > Does anyone have any suggestions for reading this large shapefile into > R? Thank you for your help. > > -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
[R-sig-Geo] best practice for reading large shapefiles?
Hi, I have a very large shapefile that I would like to read into R (dbf=5.6gb and shp=2.3gb). For reference, I downloaded the 30 shapefiles of the [Public Land Survey System](http://www.geocommunicator.gov/GeoComm/lsis_home/home/) and combined them into a single national file via gdal (ogr2ogr) as described [here](http://www.northrivergeographic.com/ogr2ogr-merge-shapefiles); I originally attempted to combine the files in R as described [here](https://stat.ethz.ch/pipermail/r-sig-geo/2011-May/011814.html), but ran out of memory about 80% in, but luckily discovered ogr2ogr. I'm reading in the combined file in R via readOGR, and it's been over an hour and R appears to hang. When I check the task manager, the R session currently consumes <10% CPU and 245MB. Not sure if any productive activity is going on, so I'm just waiting it out. [This](http://r-sig-geo.2731867.n2.nabble.com/Long-time-to-load-shapefiles-td7584869.html) thread describes that readOGR can be slow for large shapefiles, and suggested that the SpatialDataFrame be saved in an R format. My problem is getting the entire shapefile read in the first place before I could save it as an R object. Does anyone have any suggestions for reading this large shapefile into R? Thank you for your help. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Apr 7, 2016 12:58 AM, "Roger Bivand" <roger.biv...@nhh.no> wrote: > > On Wed, 6 Apr 2016, Vinh Nguyen wrote: > >> On Wed, Apr 6, 2016 at 10:42 AM, Edzer Pebesma >> <edzer.pebe...@uni-muenster.de> wrote: >>> >>> When I replace the .prj file of an arbitrary shapefile with these >>> contents, it gets read well. Have you tried with current R (3.2.4) and >>> rgdal (1.1.7)? >> >> >> >> Thanks Edzer, upgrading rgdal to 1.1.8 works. Consider this issue close. > > > For completeness, which OS was this, and how was GDAL installed - do you recall what GDAL version was reported when rgdal loaded? > > If Windows CRAN binary, it is possible that the underlying GDAL version of the spatial reference code and EPSG databases changed - there were no relevant changes in rgdal itself, I think. > Windows. I don't have the log with gdal version. Your assessment is probably correct. Thanks. [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Wed, Apr 6, 2016 at 10:42 AM, Edzer Pebesmawrote: > When I replace the .prj file of an arbitrary shapefile with these > contents, it gets read well. Have you tried with current R (3.2.4) and > rgdal (1.1.7)? Thanks Edzer, upgrading rgdal to 1.1.8 works. Consider this issue close. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Apr 6, 2016 10:27 AM, "Edzer Pebesma"wrote: > > What are the contents of the 2013Spring_Flood_Drawn.prj file? > Here's the content of the prj file: PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] Thanks so much for your help. [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Wed, Apr 6, 2016 at 8:58 AM, Denis mutiibwawrote: > readOGR(dir.path, "argv2") > it seems "argv2" has to be the shapefile name not a variable name My 'floodshapedir' and 'shapebase' are both variables with path stored in. Here's the function call with the strings explicitly passed. I don't think it's an issue with these paths. > dFloodRisk <- readOGR('FloodShapes', '2013Spring_Flood_Drawn', verbose=TRUE) OGR data source with driver: ESRI Shapefile Source: "FloodShapes", layer: "2013Spring_Flood_Drawn" with 8 features It has 2 fields > proj4string(dFloodRisk) [1] NA -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Wed, Apr 6, 2016 at 8:41 AM, Denis mutiibwawrote: > Where is "shapebase" coming from? > If those are the files in the directory, your scripts should as below: > dir.path <- directory path > dFloodRisk <- readOGR(dir.path, "2014Spring_Flood_Drawn") > proj4string(dFloodRisk) I'm reading the files in exactly as you are suggesting (floodshapedir and shapebase are variables) as seen in the output below: > dFloodRisk <- readOGR(floodshapedir, shapebase) OGR data source with driver: ESRI Shapefile Source: "FloodShapes", layer: "2013Spring_Flood_Drawn" Just not sure why the prj file is not being read in. Thanks. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Re: [R-sig-Geo] readOGR not reading in prj file?
On Wed, Apr 6, 2016 at 8:24 AM, Denis mutiibwawrote: > Hi Vinh, > proj4string function is giving you NA because "shapebase" shapefile doesn't > have an auxiliary file "shapebase.prj" > > Denis Mutiibwa, Thanks for your response Denis. The following files are all in the directory: 2014Spring_Flood_Drawn.cpg 2014Spring_Flood_Drawn.sbx 2014Spring_Flood_Drawn.dbf 2014Spring_Flood_Drawn.shp 2014Spring_Flood_Drawn.prj 2014Spring_Flood_Drawn.shp.xml 2014Spring_Flood_Drawn.sbn 2014Spring_Flood_Drawn.shx So, the prj file is there...or am I misunderstanding? Thanks. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
[R-sig-Geo] can't read in shapefile
Hi, I have two shapefiles, both generated from ArcGIS using similar methods. I was able to read in one file using readOGR but not the other. Any thoughts on how best to figure out why I can't read in the file? Here's the error: > dFloodRisk <- readOGR(floodshapedir, shapefilebase, verbose=TRUE) Error in ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv, : Cannot open layer > traceback() 5: .Call("ogrInfo", as.character(dsn), as.character(layer), PACKAGE = "rgdal") 4: ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv, swapAxisOrder = swapAxisOrder, require_geomType = require_geomType) 3: withCallingHandlers(expr, message = function(c) invokeRestart("muffleMessage")) 2: suppressMessages(ogr_info <- ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv, swapAxisOrder = swapAxisOrder, require_geomType = require_geomType)) 1: readOGR(floodshapedir, shapefilebase, verbose = TRUE) Thanks for your help. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
[R-sig-Geo] readOGR not reading in prj file?
Hi, I'm currently using rgdal v 1.1-1 on R 3.2.2. It appears my projection file is not being read in by readOGR: > dFloodRisk <- readOGR(floodshapedir, shapebase) OGR data source with driver: ESRI Shapefile Source: "FloodShapes", layer: "2013Spring_Flood_Drawn" with 8 features It has 2 fields > proj4string(dFloodRisk) [1] NA I have to manually pass in the CRS: > dFloodRisk <- readOGR(floodshapedir, paste0(curYear, 'Spring_Flood_Drawn'), > p4s='+init=EPSG:3857') OGR data source with driver: ESRI Shapefile Source: "FloodShapes", layer: "2013Spring_Flood_Drawn" with 8 features It has 2 fields > proj4string(dFloodRisk) [1] "+init=EPSG:3857 +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs" Any thoughts on why readOGR doesn't automatically read in the prj file? Here's the content of the prj file: PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] Thanks so much for your help. -- Vinh ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo