removed note about talking to Lovelace et al as that's now in Issue #10

datacarpentry · May 14, 2018 · 4549aae · 4549aae
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diff --git a/episodes/01-spatial-data-structures-formats.Rmd b/episodes/01-spatial-data-structures-formats.Rmd
@@ -56,7 +56,6 @@ The downsides of raster data are
 
 Satellite imagery is probably the most complex raster representation you will work with. Satellites like Landsat capture information at multiple wavelengths, from both human-visible and infrared bands. Final products are split into specific wavelength ranges, so to make a colour image of the land surface, one may have to combine red, green, and blue datasets. 
 
-_nb shld talk to Lovelace et al about borrowing some images from - https://bookdown.org/robinlovelace/geocompr/spatial-class.html#raster-data, for both r and v_
 
 ## Vector