Author: Brady Anderson

Measure Distance Between Map Locations

Find all locations within a certain distance

You can easily create a more focused approach in targeting the right market. With Mapline, you can use distance analysis to understand what customers’ purchasing behaviors by seeing the distances locations are from one another. All it takes is a few clicks to analyze the connection of distances between map points. The results allow you to identify more growth opportunities.

Steps to find distances between locations

  1. Open your map.
  2. Click “Add.”
  3. Select the type of shape you want to draw. (Polylines or Circles)
  4. Draw polylines by clicking to make points on the shape. Draw circles by clicking and dragging.
  5. Click “Style” to change the color and border of the shapes.
  6. Click “Done.”
  7. Now, click on your map to see either the straight line distance or the radius distance from a single point on your map.

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Customize Map Labels with Images

Easily organize and distinguish pins on your map

Let your map tell your stories for you! Mapline enables you to upload images so you can create custom map labels. Easily add your company or customer logo and assign it to the appropriate locations. This is especially helpful when you have large data sets and it is hard to differentiate between all the different pins on your map. Sometimes colored pins aren’t enough to easily visualize your data with your team. By being able to upload your own images, you can easily distinguish between location sets when you plot pins on your map.

Steps to upload custom images for map pins

  1. Open your map.
  2. Click the pin icon in the left sidebar next to your dataset name.
  3. Select the “Custom Image” tab.
  4. Click “Upload.”
  5. Select the image you would like to upload. It can be any .JPEG or .PNG file.
  6. Once uploaded, click the same image to use as the marker.
  7. Choose the icon size.
  8. Click the “OK” button.

That’s how easy it is to add custom labels to maps.  Sign up now to give it a try!

2015 Mapline Voyage

We came, we saw, and  yes, we so conquered 2015 with flying colors! Thanks to all of you, our valued Mapline customers and users, because you made another mapping year with us truly awesome!

2016 is just around the corner – yup, another meaningful year peeking at a distance. But for now, we thought it would be nice to reflect back on some of the best accomplishments of Mapline for the past 365 days.

2015 Mapline Voyage

Here are some of the ways you made the difference in mapping with us:

These will not be possible without your continuous feedback and allowing us to help you achieve your mapping goals. What’s in store for Mapline in 2016? We can only expect better victories ahead for all of us. And we can’t wait for all that we have in store for this year. So bring it on, 2016!

Mapline Radial Heat Mapping Software

Mapline Introduces Radial Heat Mapping

Perform Radial Map Analysis with Mapline

Another reason for Mapliners to shout for joy! Radial heat mapping allows for even more in-depth analysis.

Radial heat mapping is often associated with weather forecast. But that’s not all. This is another intuitive way to represent geographical information density according to color. Geographical locations data can also be heat mapped using this feature. Organizations have been asking us to add this feature as radial heat maps can help them track their marketing program impact. Anyone who wants to visualize a geo-spatial element’s size by radius derived from a data field will be thrilled to get their first radial map created.

When you look at the map above, it will show color coded concentrations of the data. So in a way, just by looking at the radial mapping software, map users can identify where the more condensed areas of data are located (as shown by red color) and less condensed areas (in blue) and varying degrees of colors in between (green, yellow, orange, etc).

The radial heat mapping software is easy to use. When you add a layer to a map, you will notice a heat mapping icon next to the layer (on the left sidebar) that will enable you to apply the radial heat mapping options.

Try out radial heat mapping with your data – learn about how the different settings work.

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