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January 3, 2016 02:57
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Calculate distance travelled from EXIF data
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### blah | |
library(exif) | |
# get the files | |
files <- dir(".", full.names=TRUE) | |
files <- files[grepl(".JPG", files)] | |
# get the data | |
exifs <- read_exif(files) | |
# just want places and times | |
exifs <- exifs[ ,c("latitude", "longitude", "timestamp")] | |
# get the entries with lat/long | |
exifs <- subset(exifs, latitude!=0 & longitude!=0) | |
# convert to some poorly thought-out projection | |
library(rgdal) | |
library(maptools) | |
segsp <- SpatialPoints(exifs[,c("longitude", "latitude")]) | |
# give the sp object a projection | |
proj4string(segsp) <-CRS("+proj=longlat +datum=WGS84") | |
# re-project | |
segsp.t <- spTransform(segsp, CRSobj=CRS("+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs")) | |
# make a data.frame and sort it by time | |
coords_time <- cbind.data.frame(segsp.t@coords, exifs$timestamp) | |
library(lubridate) | |
coords_time[,3] <- ymd_hms(coords_time[,3]) | |
coords_time <- coords_time[order(coords_time[,3]),] | |
# now calculate some distances | |
dists <- sqrt(diff(coords_time[,1])^2 + diff(coords_time[,2])^2) | |
overall_dist <- sum(dists) | |
# save sp object | |
save(segsp, file="sp.RData") | |
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