[R-sig-Geo] Spatialpolygonsdataframe

Metastate Metastate metastate at gmail.com
Wed Aug 19 02:57:53 CEST 2015


I tried to use sp merge to join the spatialpolygonddataframe (xx) and an
dataframe (yy4), which have 2 observations for each spatial ID. But it did
not allow with an error message as below:
 Error in .local(x, y, ...) :  'y' has multiple records for one or more
'by.y' key(s)

I also tried the mapmerge in eeptools but failed.

Any suggestion? Thank you very much.


xx <- maptools::readShapePoly(system.file("shapes/sids.shp",
package="maptools")[1], IDvar="FIPSNO")
newpoly<-merge(xx,yy4,sort=FALSE, by.x="FIPS",
                  by.y="FIPS" ,all.y=TRUE)

On Tue, Aug 18, 2015 at 7:31 PM, Metastate Metastate <metastate at gmail.com>

> Cool. Let me take a look. Thank you very much, Loïc.
> Meta
> On Tue, Aug 18, 2015 at 3:31 AM, Loïc Dutrieux <loic.dutrieux at wur.nl>
> wrote:
>> Hi,
>> Have a look at merge in the sp package.
>> ?sp::merge
>> Cheers,
>> Loïc
>> On 08/18/2015 04:12 AM, Metastate Metastate wrote:
>>> Hi all,
>>> I am starting to learn spatial analysis using R. Do anyone know if the
>>> attribute data in a spatialpolygonsdataframe can contain multiple
>>> observations within the same polygon? To be specific, I have a
>>> spatialpolygonsdataframe that contain USA county polygons and the
>>> relevant
>>> attribute data contains the relevant state,county and FIPs.  And I also
>>> have another data-frame that contains weather features by year by county
>>> (For example there are yearly average temperature for each county) . How
>>> can I join the spatialpolygondataframe with the weather data so that the
>>> resulted attribute table in the joint spatialpolygonsdataframe can
>>> contain
>>> *multiple-year* weather features within each county?
>>> Thank you very much for any kindly help.
>>> Meta
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