Despite what you may have heard, there’s A LOT more to GIS than “maps and data”: That’s why we’ve put together this comprehensive list of GIS definitions: We give you stunning visualizations so you can have 20/10 vision of each definition term.From A to Z, GIS professionals, students and everyone with an interest can sharpen their GIS knowledge with these GIS dictionary definitions and meanings.
These trends are shaping the face of urban planning all over the world.
Geographic Information System is fast becoming the tool to use for sustainability and planning as we seek to maximise the efficiency of the environment around us and protect what needs to be protected while maintaining health and jobs in the modern economy. People who work in Sustainability know that many disparate elements must come together in order to keep the mechanics of the world around us functioning in the way we want it to function; today, this includes the ecology.
Urban planning focuses on the design and regulation of the use of space that focus on the physical form, economic function and social impact of the urban environment and on the location of different activities within it. Urban planning is more than physical planning, the effect of urban planning is felt in every sectors.
Mapfit – a New York-based startup is quietly disrupting the map making industry. For the past two years, the company has been developing the platform that can automatically analyze and make sense of hundreds of IoT data sources and seamlessly generate map updates. None of the big mapping companies: Google, Apple, TomTom and HERE, with all their resources, was able to achieve that.
You’ve probably heard about machine learning (ML). But you’re not exactly sure how to use it in the context of GIS.
Simply, machine learning makes sense out of noisy data finding patterns that you’d never think existed. In other words, it’s software that writes software. Instead of applying a pre-built function, ML gains experience through repeated seen conditions and builds a model to apply in new situations. For example, Google might use Bayesian classification to filter spam emails. Alternatively, Facebook might use it for facial recognition and automatically identify faces in images. And ML can even render Nicholas Cage in every movie ever made.
The reality is this because most organizations don’t know anything about GIS, they don’t understand how it can benefit them.
…And since the market has not yet fully matured, even in cases where GIS could be beneficial, it isn’t being utilized.
But this doesn’t have to be the case. Look at your organization and you’ll realize that people make projects work.
You’ve always loved geography,and you’ve always loved computers. This is why you’ve pursued a GIS career path, but if you’re having troubles getting your foot in the door for a GIS job, we have a list of 10 GIS career tips that anyone can learn to do.
As a modern-day city dweller, you may not feel it, but if you were trying to use Google Maps on a vacation in rural Thailand, you would realize the worldwide road network is so vast, even Google is yet to map the majority of it!
This is what made a group of researchers at Massachusetts Institute of Technology (MIT) look for ways to lessen the workload of app developers like Google Maps. Enter RoadTracer, an artificial intelligence powered program that can extract road networks from aerial imagery – with 45% more success rate than existing methods.
If you want the sharpest satellite imagery in the world, then you should harness the power of DigitalGlobe satellite imagery.
To give you a ballpark figure: Each pixel in a Worldview-3 image is about the size of home plate on a baseball diamond. That’s about 31 cm. So instead of being far-sighted, you can see a better and clearer world with some of DigitalGlobe’s products.