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— urbantick

Tag "growth"

Temporal dimensions are only visible as fractions and over a very small scale. There are very clear limitations to the recognition of temporal changes to the human senses. This ranges from about 18 frames per second to the movement of a snail. Everything that is faster or slower is only to be registereed in comparison to a reference point.

Like the slow movement of the tide with ebb and flow it is one of the natural rhythms beyond the direct human perception. It can be registered for example by reference points such a the sand castel that is washed away by the water or the appearance of rocks and sand banks.

With the help of timeLapse photography phenomenon at the slow range of the spectrum beyond the capacity of the human eye can be visualised. This is for example the growth of plants and the changes in plant size and orientation.

This is generally not only down to the capacity of registration, technically, by the eye, but also to the very different speed of the human character. The capacity can reach out to aspects such as for example patience or concentration. At slow motion distraction are pretty influential and make the registration pretty hard.

Adam Gregory show in his clip ‘Asparagus’ exactly this sort of movement as the growth of asparagus in the field. It shows an amazing change and movement speed up and easier to recognise. It unveils a a process normally not accessible by the naked eye.

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Recently large scale models have come back into fashion and researchers around the globe have started to develop different types of urban grows simulations spanning across urban areas, countries and even started looking at a global scale urban growth models.
Of course one of the precedences is the Bucky world model called the “World Game” or the world peace game. Of course this was based on a Dymaxion Map.

Image taken from genekeyes source: scanned by Gene Keyes from cover of
World Game Report, [28 p.], ©1969, Edwin Schlossberg
Photography by Daniel Gildesgame and Herbert Matter /

It was branded a game, but recently scientists have become much more bold and call it a model. They are also not shy of promises of what could be solved by such a large scale everything incorporating algorithm based predictions.

The main problem back then but even more so nowadays is the base data. With the flood of information we have now it is getting more difficult to manufacture a decent working dataset. And of course it would need to cover the past as well as the current state.

The data, as far as recorded would be available but most likely not in the format and resolution required. So to start a lot of foundation work is required and no one seems willing at them moment to invest in this fundamentally important piece of work. everyone whats to get on with the exciting bit of the prediction, that how one makes money.

Even more interesting to look at some of the few existing visualisations of the past urban growth globally. The New Town Institute has put together a flash based visualisation of world wide urban growth of the past 6000 years. This is quite a good starting point and interesting in it self. Have a look how urban areas evolved, declined and reinvented themselves. The database is also online available.

Visualisaion taken from newtowninstitute

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