comparing distance matrices Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm...

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comparing distance matrices



Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
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I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.



Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:



library(vegan)
geodist<-vegdist(my_geodist_matrix, method="euclidean")
commdist<-vegdist(dist.matrix, method="bray")



Does anyone have thoughts on the best way to accomplish my end goal?



Thanks









share







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    0















    I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.



    Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:



    library(vegan)
    geodist<-vegdist(my_geodist_matrix, method="euclidean")
    commdist<-vegdist(dist.matrix, method="bray")



    Does anyone have thoughts on the best way to accomplish my end goal?



    Thanks









    share







    New contributor




    getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      0












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      0








      I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.



      Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:



      library(vegan)
      geodist<-vegdist(my_geodist_matrix, method="euclidean")
      commdist<-vegdist(dist.matrix, method="bray")



      Does anyone have thoughts on the best way to accomplish my end goal?



      Thanks









      share







      New contributor




      getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I am trying to compare a distance matrix of microbial communities to a distance matrix of geographic sample locations to understand if there is a distance decay relationship in my dataset. The end goal is to plot geographic distance against community dissimilarity scores with a trendline from a least squares regression.



      Distance communties (samples with species counts) and between the sample locations (lat, lon values) are being evaluated as follows currently:



      library(vegan)
      geodist<-vegdist(my_geodist_matrix, method="euclidean")
      commdist<-vegdist(dist.matrix, method="bray")



      Does anyone have thoughts on the best way to accomplish my end goal?



      Thanks







      distance-matrix forest-ecology





      share







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      getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share



      share






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      getthere is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 5 mins ago









      gettheregetthere

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