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Vincenty Formulae

groovy implementation of Vincenty’s formulae are two related iterative methods used in geodesy to calculate the distance between two points on the surface of a spheroid, developed by Thaddeus Vincenty (1975a).

They are based on the assumption that the figure of the Earth is an oblate spheroid, and hence are more accurate than methods such as great-circle distance which assume a spherical Earth. The first (direct) method computes the location of a point which is a given distance and azimuth (direction) from another point. The second (inverse) method computes the geographical distance and azimuth between two given points. They have been widely used in geodesy because they are accurate to within 0.5 mm (0.020″) on the Earth ellipsoid.

  1. Fork the repository : Groovy Vincenty.
  2. Clone the repo you just forked and rename it.
  3. Use the new repository to start testing your code against the api.

tech debt, defects and user stories

This presentation will dig into the ideas of why teams create different types of cards on the card wall and why they should not. We will explore the idea around making all cards on the wall, regardless of type, as equal citizens on the card wall and discussed accordingly. The ideas of making everything a user story and being happy about it will be explored. With a goal of convincing developers and business people alike… the concept of card equality… and the business benefits afforded by this technique.

murmuration : the coordination of an agile team.

what is a murmuration?  most do not know, but when defined they have seen at least one in their lifetime.  Simply put, a murmuration is a flock of starlings… a flock of birds.

VIDEO OF A massive starling flock turning and twisting over a river in Ireland has gone viral, and with good reason. Flocking starlings are one of nature’s most extraordinary sights: Just a few hundred birds moving as one is enough to convey a sense of suspended reality, and the flock filmed above the River Shannon contained thousands.

What makes possible the uncanny coordination of these murmurations, as starling flocks are so beautifully known? Until recently, it was hard to say. Scientists had to wait for the tools of high-powered video analysis and computational modeling. And when these were finally applied to starlings, they revealed patterns known less from biology than cutting-edge physics.

Starling flocks, it turns out, are best described with equations of “critical transitions” — systems that are poised to tip, to be almost instantly and completely transformed, like metals becoming magnetized or liquid turning to gas. Each starling in a flock is connected to every other. When a flock turns in unison, it’s a phase transition.

At the individual level, the rules guiding this are relatively simple. When a neighbor moves, so do you. Depending on the flock’s size and speed and its members’ flight physiologies, the large-scale pattern changes. What’s complicated, or at least unknown, is how criticality is created and maintained.

It’s easy for a starling to turn when its neighbor turns — but what physiological mechanisms allow it to happen almost simultaneously in two birds separated by hundreds of feet and hundreds of other birds? That remains to be discovered, and the implications extend beyond birds. Starlings may simply be the most visible and beautiful example of a biological criticality that also seems to operate in proteins and neurons, hinting at universal principles yet to be understood.