If you can dream it, we can map it!

Today is exciting! Why I hear you say? Well today is the day we change the way in which we see our world in maps, and bring power back to the cartographer and their visions. We’ve launched our new Foundation Map.

I’ve been designing the look and feel of MapData Services’ maps now for more years than I care to remember, and I have always had to be conscious of trying to develop a style that will satisfy a broad range of requirements within a single map – juggling the requirements of many, in reality means probably only meeting the needs of a few.

In my world, the time it takes to create millions of map tile images means we’ve been a little gun-shy on offering up customised design for each client or offering, it was all (simply put), too much!

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‘Big Data’ no longer a big problem (part 2 of the Dynamic Tiling saga)

Following on from Digital mapping’s dynamic makeover, where I touched on the differences between a traditional tile service process, and one which is dynamic, we also discussed how the Dynamic Tile Service can render custom styles and colours on the map tiles it produces in real-time using CartoCSS.

In this post, I’ll be talking Big Data and how the Dynamic Tile Service solves the problem of viewing large datasets on maps in web browsers.

Tiling Big Data to speed up web browser performance

The recent explosion in the popularity of ‘Big Data’ has left many people scratching their heads as to how to properly view a large dataset. Web browsers are not built to download large amounts of data all in one go – so when we try to view a large dataset on a web map, it can feel like putting a square peg in a round hole.

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