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2013-07-03T18:58:46.400
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2013-07-03T18:58:46.400
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From <a href="http://r.789695.n4.nabble.com/Calculating-distance-between-longitude-latitude-of-2-points-td3050123.html" rel="nofollow noreferrer">here</a> I found some packages to calculate distance between coordinates. Assuming your data is called <code>dtf</code> and using the <code>RSEIS</code> package: <pre><code>dtf <- data.frame(rbind(c(-85.01478,37.99030,-68.3167), c(-85.00752,37.97601,-68.0247),c(-85.00027,37.96172,-67.9565), c(-84.99302,37.94743,-67.8917))) names(dtf) <- c('lon','lat','int') library(RSEIS) travelint <- function(i,data){ ddeg <- GreatDist(dtf$lon[i],dtf$lat[i],dtf$lon[i+1],dtf$lat[i+1])$ddeg; dint <- dtf$int[i+1] - dtf$int[i]; return(list(ddeg,dint))} out <- sapply(1:(nrow(dtf)-1),data=dtf,travelint) out <- data.frame(matrix(as.numeric(out),ncol=2,byrow=T)) out$X1 <- cumsum(out$X1) </code></pre> This will take your data, calculate the distance traveled between points and the intensity change between them. After that it can be plotted like this: <pre><code>ggplot(out,aes(X1,X2)) + geom_line() + labs(x="Distance (Degrees)",y="Intensity Change") </code></pre> <img src="https://i.stack.imgur.com/kHaou.png" alt="enter image description here"> If instead you want increasing intensity , you can use <code>cumsum</code> again to get the cumulative change in intensity and then add it to the first intensity: <pre><code>out2 <- out out2 <- rbind(c(0,0),out2) out2$X2 <- cumsum(out2$X2) + dtf$int[1] ggplot(out2,aes(X1,X2)) + geom_line() + labs(x="Distance (Degrees)",y="Intensity") </code></pre> <img src="https://i.stack.imgur.com/fzCSN.png" alt="enter image description here">
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