Marc Weber mhweber
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| # Create data frame 1 | |
| x = c("ID1","ID2","ID3","ID4","ID5") | |
| y = c("C1","C2","C3","C4","C5") | |
| d1 = data.frame("SiteID" = x, "Value" = y) | |
| d1 | |
| # Create lookup table | |
| x = c("ID2","ID5") | |
| y = c("C5","C2") | |
| lookup = data.frame("SiteID" = x, "Value" = y) | |
| lookup |
mhweber
/ LineLengthsPolys.R
Last active
August 29, 2015 14:07
This piece gets some summary statistics on spatial line data frame lengths within spatial polygon data frames in R
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| library(rgeos);library( rgdal) | |
| polys <- readOGR('.','polys') | |
| lines <- readOGR('.','lines') | |
| if (proj4string(polys) == proj4string(lines){ | |
| plot(polys); plot(lines, add=T, color='Blue') | |
| lines$LENGTHKM <- SpatialLinesLengths(lines)*0.001 # assumes lines are in projection using meters | |
| line.sum <- over(polys, lines[6], fn=sum) | |
| line.mean <- over(polys, lines[6], fn=mean) | |
| line.min <- over(polys, lines[6], fn=min) | |
| line.max <- over(polys, lines[6], fn=max) |
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