From geotagged photos to species distribution models

November 13, 2016

(This article was first published on Bluecology blog, and kindly contributed to R-bloggers)

From geotagged photos to species distribution models

My camera comes with an inbuilt GPS allowing you to geotag photos. I was on a family holiday on the beautiful Hornby Island (near Vancouver) and started wondering why the oysters growing on the rocks were so patchy in their distribution. This observation motivated me to get out and count oysters. The camera let me geotag photos of the quadrats I used to standardise my counts.

The oyster data-set has inspired a series of blog posts taking you from geotagged photos, making an interactive web map and finally, using the data in a spatial model. Here is the contents:

Part 1: Extracting exif data from photos.

A further two posts are still to come but will be:

Part 2: Create an interactive web map with the photos.

Part 3: Spatial analysis of geotagged data.

I hope these posts using his simple example inspire some bigger ideas for your own spatial analysis.

To leave a comment for the author, please follow the link and comment on their blog: Bluecology blog. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)