CLIL-DNL Geography
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CLIL-DNL Geography
Ressources pour la DNL Geo /Anglais
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Housing Patterns

Housing Patterns | CLIL-DNL Geography | Scoop.it
See the big picture of how suburban developments are changing the country's landscape, with aerial photos and ideas for the future

Via Seth Dixon
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Liam Michelsohn's curator insight, December 10, 2013 9:13 PM

A very interesting article on changes in landscape, while looking though this I came aross so many little things i never noticed about the topical layout of housing. The main thing that is apparent is density, how closely each house is put together, the amount of land each has as well as the view from the property. Its aslo interesting to see how the design of the area can be made for easy access or be desigend to keep people out with only one enctancte and exit. All of these charasticts make up how the land is desired as well as econimcly priced, which then determins who will be able to live there.

Jacqueline Landry's curator insight, December 16, 2013 1:53 AM

Having the streets interconnected allows for easy  traveling throughout the area.  when there is more density in an area it means there are more houses , more people.  The sprawl has the center on the place and the streets go out around it. The way the streets are made are for different reasons,.

megan b clement's comment, December 16, 2013 5:57 AM
This article talks about twenty different housing patterns and how we base these housing patterns around our society or enviroment. How looking at housing patterns can tell you what kind of neighborhood one lives in from the sky. Looking down and seeing a golf course with lush grass and big backyards shows you that this neighborhood is very expensive. Or Canal houses that utilize every inch of the waters edge to financially make them able to charge higher prices for the homes because each house has a water view and is on the waters edge.
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80% of Americans Live Within 20 Miles of a Starbucks

80% of Americans Live Within 20 Miles of a Starbucks | CLIL-DNL Geography | Scoop.it

The green dots on this map representing Starbucks locations which are obviously clustered in major metropolitan centers.  Cross-referencing this Starbucks address location with population data, Davenport explains his mapping technique: "By counting the number of people who live within a given distance to each Starbucks, we can measure how well centered Frappuccinos are to the US citizenry. In other words: draw a 1-mile circle around every store, then add up the % of the population living within the circles. Repeat for 2, 3, 4....100 miles."   The result of this data is a fabulous logrithmic S-curve which explains much about the American population distribution.   

 

Tags: statistics, density, consumption, mapping, visualization, urban.


Via Seth Dixon
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Rich's comment, October 10, 2012 6:26 PM
That is insane how large that corperation is.