A good map shouldn't need interpretation. I wanted a place where my favorite maps could be more easily viewed so I will no longer be updating this blog, maps will now be here:
https://www.victoriajarvismaps.com/
A good map shouldn't need interpretation. I wanted a place where my favorite maps could be more easily viewed so I will no longer be updating this blog, maps will now be here:
https://www.victoriajarvismaps.com/
To establish stream order for a watershed using GIS is quite complex despite the simplicity of the end visualization. Using a DEM you can establish flow direction. This tool uses the elevation data in the DEM to calculate per pixel what direction water would flow. Then you can calculate the flow accumulation. This calculates how many pixels flow of water would into any given pixel. Once you know this you can establish hydrology "stream orders." A stream order of 1 is a stream with no other streams flowing into it, or headwaters. A stream order of 2, has 2 or more stream orders of 1 flowing into it. A stream order of 3, has 2 or more stream orders of 2 flowing into it. And a stream order of 4, has 2 or more stream orders of 3 flowing into it. The "threshold" is the lowest value of a pixel in the flow accumulation raster considered for inclusion in your watershed orders.
The idea behind this map was to give a visual reference for Cle Elum Ranger District Wilderness Rangers. With this map they can easily see fire restrictions for the areas most commonly patrolled. In the Alpine Lakes there are elevational fire bans and there are also specific areas that have 1/2 mile closures to fires below the elevational ban zone
Northern Gannets are coastal seabirds that nest on cliffs. By running GIS analysis on steepness (slope greater than or equal to 80%), proximity to coat (within 100 meters of the coast), distance from roads (300m from roads) and size (at least 1 hectare), I could isolate and visualize potential habitats preferred by the bird in an area of Maine.
I really don't like any of Esri's basemaps so I took the time to generate my own hillshade and contour layers from DEM data as well as some point data for nearby cities labels. The habitat polygons were generated by isolating the following habitat requirements for this snail:
You can download Mars elevation data from the High Resolution Imaging Science Experiment (HiRISE) project at the University of Arizona’s Lunar and Planetary Laboratory: uahirise.org. I took this data and generated a hillshade layer to give it a 3D effect and then colorized elevation data to match the way Mars looks. So it looks like a photo of the surface but it's not!
I got a hold of some real pirate data which I stylized in a storybook pirate way. It shows locations of acts of piracy within 100 nautical miles of the Caribbean Islands.
The National UFO Reporting center manages GIS point data for locations of UFOs seen in the US. They're still collecting this information but the data that I got only went to 2005.
I've been looking at Wilderness boundaries a lot the past year for work. I thought it would be fun to make a map clipped to the strange boundaries of the Wilderness area I work in. It's very apparent where the roads are that dictated the area's starfish shape. I used colors inspired by our permits.