Posts tagged Maps
Stanford University’s Glen McLaughlin maps collection features a selection from when we thought California was an island.
Above are the before and after shots of a fire near Camarillo, CA which started May 2nd and burned more than 24,000 acres.
The images above are falsely colored, to reflect the multiple spectrums of information being captured:
The Landsat Data Continuity Mission (LDCM), the newest Landsat satellite, passed over the Springs Fire on May 4, 2013. In the false-color images above from LDCM’s Operational Land Imager (OLI), unburned vegetation appears dark green. Burned areas are red, and the most severely burned areas are generally the darkest. Actively growing farmland is light green; plowed fields are brown. Buildings and roads are gray. Note that the image is rotated so that north is to the right.
Can’t wait for such augmented vision technologies to trickle down into consumer cameras and smartphones. (Via NASA)
We use MapBox and the tools they create often at PlaceIQ. No one else seems to better understand the difficulty in presenting and analyzing spatial data better than MapBox.
Adding access to satellite imagery is great on its own, but the ability to customize the images themselves is almost essential. Toning down the colors and subtleties of sat images lets overlay data pop while still having the real world reference layer. Only people who’ve agonized over displaying spatial data would recognize the need for these adjustments.
The sat filter presets they launched today are great starting points. Like Instagram’s filters, they allow us to quickly tweak the imagery to help us more clearly communicate the story in the data.
In a few years we’ll pine for that Fall when our phones casually lied to us. It’ll be a cute AI anecdote from the era before they replaced us.
Hand-drawn railroad map symbols, from the Army Corps of Engineer’s Symbols for Small Scale Maps, 1953. Click through for descriptions. (Via Making Maps)