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Posted on January 2, 2023 (Updated on July 19, 2025)

Create a buffer in decimal degrees

Hiking & Activities

Buffers in Decimal Degrees: Taming the Geographic Wild West

Buffers are like those invisible force fields you see in sci-fi movies, but for the real world of maps and geography. In GIS (Geographic Information Systems), we use them all the time to mark out areas around things. Need to know what properties are within a mile of a proposed highway? Slap a buffer on it. Trying to figure out the impact zone of a potential oil spill? Buffers to the rescue! They’re super handy for all sorts of spatial analysis, from managing resources to making smart decisions based on location.

Now, you can create these buffers using different units of measurement, but things get a little tricky when you’re working with decimal degrees. Why? Because a degree isn’t always a degree, if you catch my drift. Let’s dive in.

Decoding Decimal Degrees

Think of decimal degrees (DD) as a way to pinpoint locations on a map using numbers. Latitude tells you how far north or south you are, ranging from -90 (South Pole) to +90 (North Pole). Longitude tells you how far east or west you are, going from -180 to +180. Easy enough, right?

The problem is, these degrees aren’t like meters or feet. They don’t translate to consistent distances across the globe. Imagine squeezing an orange peel flat – that’s kind of what happens when you project the Earth onto a 2D map. The distance covered by a degree of longitude shrinks as you head towards the poles, while latitude stays relatively consistent. So, a buffer that looks like a perfect circle in decimal degrees near the equator will be all wonky and distorted up north.

The Decimal Degree Dilemma: Why Buffers Go Bad

This inconsistency is the core challenge. If you create a buffer with a fixed decimal degree radius, say 0.1 degrees, it won’t represent the same real-world distance everywhere. That 0.1-degree buffer around a point in Ecuador will be way bigger than the same buffer around a point in Iceland.

Trust me, I learned this the hard way once when I was working on a project mapping potential habitats for migratory birds. I used a simple decimal degree buffer, and my results were completely off. The birds weren’t where my buffers said they should be! That’s when I realized I needed to get serious about understanding coordinate systems and projections.

Using decimal degrees directly as a unit of distance can lead to some seriously skewed results, especially if you’re dealing with large areas or comparing buffers in different parts of the world. It’s like trying to build a house with a rubber measuring tape – things are going to get weird fast.

Taming the Beast: Best Practices and Clever Tricks

So, what’s a GIS analyst to do? Don’t despair! There are ways to wrangle those decimal degree buffers and get them under control.

  • Reproject, Reproject, Reproject: Seriously, this is your best bet. Think of it as putting on the right glasses to see the world clearly. Reproject your data into a projected coordinate system before you create your buffers. Systems like UTM (Universal Transverse Mercator) use meters or feet, giving you consistent distance measurements. Buffer away, then reproject back to decimal degrees if you need to. It’s an extra step, but it’s worth it for the accuracy.

  • Go Geodesic: Many GIS programs offer something called “geodesic buffers.” These are smart buffers that take the Earth’s curvature into account. They’re more accurate than standard buffers, especially when you’re working with data spread across large regions. Think of it as the GIS software doing the math to compensate for the orange peel effect.

  • Approximate with Caution: If you absolutely can’t reproject, you can try converting meters to decimal degrees. But be warned, this is a bit of a hack, and you need to be careful. At the equator, one decimal degree is roughly 111.32 kilometers. But that changes as you move north or south. Here’s a rough formula:

    Decimal Degrees ≈ Distance (meters) / (111320 * cos(latitude))

    Remember, this is just an approximation, and it works best for small distances and near the equator. Don’t go building any bridges based on this calculation!

  • Get Variable: Some GIS tools let you change the buffer distance based on information in your data. You could use that distance approximation formula to calculate the right decimal degree radius for each feature based on its latitude. It’s a bit more work, but it can give you more accurate results.

  • A Few Words of Wisdom

    • Know Your Software: Every GIS program is a little different. Read the manual, watch some tutorials, and figure out how your software handles buffers.
    • Data is King: Make sure your data is accurate and properly georeferenced. Garbage in, garbage out, as they say.
    • Check Your Work: Always take a good look at your buffers to make sure they look right. Do they make sense in the real world? If something seems off, investigate!

    The Final Verdict

    Buffering in decimal degrees can be a bit of a wild ride. It’s like navigating with a compass that sometimes points in the wrong direction. But with the right knowledge and techniques, you can tame those buffers and get accurate, reliable results. While reprojecting is usually the best approach, understanding the ins and outs of decimal degree buffering is a valuable skill for any GIS professional. Now go forth and buffer responsibly!

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