Using st_join for a spatial join










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I am using the sf_package to work around spatial data in r. At this stage, I want to make a spatial join so that the tax lots of my area of study inherit the attributes of the floodplain on which they are located. For example, taxlots may be located in a floodplain categorized as X, VE, A, A0, or V (these are codes that relate to the intensity of the flood in each area).



To do this, I tested the sf function st_join, which will by default rely on st_intersects to determine the spatial join for each entity of my tax lots.



However, I am trying to figure out the criteria used by the function when a tax lot intersects with two different floodplain areas (as in the photo below, in which several lots intersect both with an A floodplain and an AE floodplain). Does it take the value of the area that covers the largest area of the lot? or is it a matter of which area is located upper in the dataframe?



Note that I am not interested in partitioning the intersecting lots so that I divide them according to their areas intersecting one and other floodplain zones.



Photo of tax lots intesecting with more than one floodplain category










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    I am using the sf_package to work around spatial data in r. At this stage, I want to make a spatial join so that the tax lots of my area of study inherit the attributes of the floodplain on which they are located. For example, taxlots may be located in a floodplain categorized as X, VE, A, A0, or V (these are codes that relate to the intensity of the flood in each area).



    To do this, I tested the sf function st_join, which will by default rely on st_intersects to determine the spatial join for each entity of my tax lots.



    However, I am trying to figure out the criteria used by the function when a tax lot intersects with two different floodplain areas (as in the photo below, in which several lots intersect both with an A floodplain and an AE floodplain). Does it take the value of the area that covers the largest area of the lot? or is it a matter of which area is located upper in the dataframe?



    Note that I am not interested in partitioning the intersecting lots so that I divide them according to their areas intersecting one and other floodplain zones.



    Photo of tax lots intesecting with more than one floodplain category










    share|improve this question


























      0












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      0








      I am using the sf_package to work around spatial data in r. At this stage, I want to make a spatial join so that the tax lots of my area of study inherit the attributes of the floodplain on which they are located. For example, taxlots may be located in a floodplain categorized as X, VE, A, A0, or V (these are codes that relate to the intensity of the flood in each area).



      To do this, I tested the sf function st_join, which will by default rely on st_intersects to determine the spatial join for each entity of my tax lots.



      However, I am trying to figure out the criteria used by the function when a tax lot intersects with two different floodplain areas (as in the photo below, in which several lots intersect both with an A floodplain and an AE floodplain). Does it take the value of the area that covers the largest area of the lot? or is it a matter of which area is located upper in the dataframe?



      Note that I am not interested in partitioning the intersecting lots so that I divide them according to their areas intersecting one and other floodplain zones.



      Photo of tax lots intesecting with more than one floodplain category










      share|improve this question
















      I am using the sf_package to work around spatial data in r. At this stage, I want to make a spatial join so that the tax lots of my area of study inherit the attributes of the floodplain on which they are located. For example, taxlots may be located in a floodplain categorized as X, VE, A, A0, or V (these are codes that relate to the intensity of the flood in each area).



      To do this, I tested the sf function st_join, which will by default rely on st_intersects to determine the spatial join for each entity of my tax lots.



      However, I am trying to figure out the criteria used by the function when a tax lot intersects with two different floodplain areas (as in the photo below, in which several lots intersect both with an A floodplain and an AE floodplain). Does it take the value of the area that covers the largest area of the lot? or is it a matter of which area is located upper in the dataframe?



      Note that I am not interested in partitioning the intersecting lots so that I divide them according to their areas intersecting one and other floodplain zones.



      Photo of tax lots intesecting with more than one floodplain category







      r gis intersection sf






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      share|improve this question













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      edited Nov 15 '18 at 19:53







      Pablo Herreros Cantis

















      asked Nov 15 '18 at 19:15









      Pablo Herreros CantisPablo Herreros Cantis

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          By default, st_join(x, y, join = st_intersects) duplicates all features in x,
          that intersect with more than one features from y.



          If you set the argument largest = TRUE, st_join() returns the x features augmented with the fields of y that have the largest overlap with each of the features of x.



          See https://r-spatial.github.io/sf/reference/st_join.html and https://github.com/r-spatial/sf/issues/578 for more details.






          share|improve this answer























          • Thank you so much! exactly what I needed to find out about.

            – Pablo Herreros Cantis
            Nov 16 '18 at 15:46










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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          4














          By default, st_join(x, y, join = st_intersects) duplicates all features in x,
          that intersect with more than one features from y.



          If you set the argument largest = TRUE, st_join() returns the x features augmented with the fields of y that have the largest overlap with each of the features of x.



          See https://r-spatial.github.io/sf/reference/st_join.html and https://github.com/r-spatial/sf/issues/578 for more details.






          share|improve this answer























          • Thank you so much! exactly what I needed to find out about.

            – Pablo Herreros Cantis
            Nov 16 '18 at 15:46















          4














          By default, st_join(x, y, join = st_intersects) duplicates all features in x,
          that intersect with more than one features from y.



          If you set the argument largest = TRUE, st_join() returns the x features augmented with the fields of y that have the largest overlap with each of the features of x.



          See https://r-spatial.github.io/sf/reference/st_join.html and https://github.com/r-spatial/sf/issues/578 for more details.






          share|improve this answer























          • Thank you so much! exactly what I needed to find out about.

            – Pablo Herreros Cantis
            Nov 16 '18 at 15:46













          4












          4








          4







          By default, st_join(x, y, join = st_intersects) duplicates all features in x,
          that intersect with more than one features from y.



          If you set the argument largest = TRUE, st_join() returns the x features augmented with the fields of y that have the largest overlap with each of the features of x.



          See https://r-spatial.github.io/sf/reference/st_join.html and https://github.com/r-spatial/sf/issues/578 for more details.






          share|improve this answer













          By default, st_join(x, y, join = st_intersects) duplicates all features in x,
          that intersect with more than one features from y.



          If you set the argument largest = TRUE, st_join() returns the x features augmented with the fields of y that have the largest overlap with each of the features of x.



          See https://r-spatial.github.io/sf/reference/st_join.html and https://github.com/r-spatial/sf/issues/578 for more details.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 16 '18 at 9:01









          csteppercstepper

          912




          912












          • Thank you so much! exactly what I needed to find out about.

            – Pablo Herreros Cantis
            Nov 16 '18 at 15:46

















          • Thank you so much! exactly what I needed to find out about.

            – Pablo Herreros Cantis
            Nov 16 '18 at 15:46
















          Thank you so much! exactly what I needed to find out about.

          – Pablo Herreros Cantis
          Nov 16 '18 at 15:46





          Thank you so much! exactly what I needed to find out about.

          – Pablo Herreros Cantis
          Nov 16 '18 at 15:46



















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