Calculate population in SpatialPolygonDataFrame











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I have a question regarding a calculation I have to do.



I have the following dataset:




  • a SpatialPolygonDataFrame called SPDF which consists of polygons with numerous attributes


Since I intersected this SPDF previously I want to calculate the population based on the new shapes of every polygon.
I have in my SPDF a variable called PopulationPerSQM which is basically the population per square meters. All I need to do now, is going through every polygon inside the SPDF and simply calculate:
PopulationPerSQM*Area. However I do not know how to iterate through a SpatialPolygonDataFrame and to then calculate for each polygon inside it the population. Anybody has an idea how to do that or can link me to the solution please?










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  • A reproducible example would be very helpful here.
    – Julius Vainora
    Nov 11 at 11:09










  • Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
    – Tomas
    Nov 11 at 11:11















up vote
0
down vote

favorite












I have a question regarding a calculation I have to do.



I have the following dataset:




  • a SpatialPolygonDataFrame called SPDF which consists of polygons with numerous attributes


Since I intersected this SPDF previously I want to calculate the population based on the new shapes of every polygon.
I have in my SPDF a variable called PopulationPerSQM which is basically the population per square meters. All I need to do now, is going through every polygon inside the SPDF and simply calculate:
PopulationPerSQM*Area. However I do not know how to iterate through a SpatialPolygonDataFrame and to then calculate for each polygon inside it the population. Anybody has an idea how to do that or can link me to the solution please?










share|improve this question






















  • A reproducible example would be very helpful here.
    – Julius Vainora
    Nov 11 at 11:09










  • Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
    – Tomas
    Nov 11 at 11:11













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have a question regarding a calculation I have to do.



I have the following dataset:




  • a SpatialPolygonDataFrame called SPDF which consists of polygons with numerous attributes


Since I intersected this SPDF previously I want to calculate the population based on the new shapes of every polygon.
I have in my SPDF a variable called PopulationPerSQM which is basically the population per square meters. All I need to do now, is going through every polygon inside the SPDF and simply calculate:
PopulationPerSQM*Area. However I do not know how to iterate through a SpatialPolygonDataFrame and to then calculate for each polygon inside it the population. Anybody has an idea how to do that or can link me to the solution please?










share|improve this question













I have a question regarding a calculation I have to do.



I have the following dataset:




  • a SpatialPolygonDataFrame called SPDF which consists of polygons with numerous attributes


Since I intersected this SPDF previously I want to calculate the population based on the new shapes of every polygon.
I have in my SPDF a variable called PopulationPerSQM which is basically the population per square meters. All I need to do now, is going through every polygon inside the SPDF and simply calculate:
PopulationPerSQM*Area. However I do not know how to iterate through a SpatialPolygonDataFrame and to then calculate for each polygon inside it the population. Anybody has an idea how to do that or can link me to the solution please?







r






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asked Nov 11 at 11:07









Cliff

86




86












  • A reproducible example would be very helpful here.
    – Julius Vainora
    Nov 11 at 11:09










  • Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
    – Tomas
    Nov 11 at 11:11


















  • A reproducible example would be very helpful here.
    – Julius Vainora
    Nov 11 at 11:09










  • Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
    – Tomas
    Nov 11 at 11:11
















A reproducible example would be very helpful here.
– Julius Vainora
Nov 11 at 11:09




A reproducible example would be very helpful here.
– Julius Vainora
Nov 11 at 11:09












Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
– Tomas
Nov 11 at 11:11




Are you familiar with the str(SPDF) command and the $ and @ operators that would allow you to access different parts of the spatial polygon data frame?
– Tomas
Nov 11 at 11:11












1 Answer
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@Tomas: I got it using SPDF$Population<-round(SPDF$aream2*SPDF$PopPerSQM)






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    1 Answer
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    up vote
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    accepted










    @Tomas: I got it using SPDF$Population<-round(SPDF$aream2*SPDF$PopPerSQM)






    share|improve this answer

























      up vote
      0
      down vote



      accepted










      @Tomas: I got it using SPDF$Population<-round(SPDF$aream2*SPDF$PopPerSQM)






      share|improve this answer























        up vote
        0
        down vote



        accepted







        up vote
        0
        down vote



        accepted






        @Tomas: I got it using SPDF$Population<-round(SPDF$aream2*SPDF$PopPerSQM)






        share|improve this answer












        @Tomas: I got it using SPDF$Population<-round(SPDF$aream2*SPDF$PopPerSQM)







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        share|improve this answer



        share|improve this answer










        answered Nov 11 at 12:30









        Cliff

        86




        86






























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