comparing distance matrices Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm...
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comparing distance matrices
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Unicorn Meta Zoo #1: Why another podcast?Unable to obtain linear distance matrixStrange distance measurements in distance matrixQGIS distance matrix: wrong metric distanceDistance Matrix in QGIS, which SRIDCalculating minimum distance using “Distance Matrix” in QGISQGIS Distance Matrix OutputDistance Matrix outputQGIS Distance Matrix execution failsDistance matrix (nearest neighbour) with polygonsDistance matrix in QGIS shows distance zero to all points
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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
distance-matrix forest-ecology
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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
distance-matrix forest-ecology
New contributor
add a comment |
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
New contributor
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
distance-matrix forest-ecology
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New contributor
New contributor
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