This is where I’ll be sharing with you my final work in Linguistic Landscape of Beirut.

For my final project, I have decided to work on the correlation between educational centers and their suburbs in the Beirut area. To be more clear, I have hypothesized that the more one gets closer to a specific language-based educational center, the more one would find in the area surrounding the center, the same language.
In order to test my theory, I have made 4 layers on CartoDB, each displaying the use of Arabic, French, Armenian or English only, in addition to a pinpointing of educational centers around the Beirut area. Here is what an overview of my map looks like :

Overview – Purple = Armenian, Green = English, Red = Arabic and Blue = French

I will be tackling sub-areas in the following section; the SQL of each language was set in a way that would show the figured language alone or mixed.
Example :

SELECT * FROM linguistic_landscapes_of_beirut_2
WHERE languages_used_ ILIKE ‘%Armenian%’

Working in a similar way, here were my results :

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Area 1 : Burj Hammoud/Karentina

In area 1, which combines the Burj Hammoud area and Karentina, one educational center is pinned, and it’s Armenian. We can clearly see that in this area, the more we navigate away from the center, the less purple data we find. My hypothesis was hence validated.

Area 2: Ashrafieh/Badaro/Furn El Chebbak

In area 2, there are 8 French institutions versus three Arabic based ones and 1 American.

Concerning the French concentration of data, we can obviously observe that the more we get away from the institutions, the more isolated are the blue dots, ergo a lower concentration in the french language away from the French institution.

N.B: some points overlap in the picture, please refer to the map attached at the end of the page for a better observation.

As for the Arabic based institutions, they are clearly well surrounded by nothing but red dots, aka the Arabic language. It is true that the red dots are well scattered on the area, but considering the fact that we are in the Lebanese capital, I focused my observation on the concentration and isolation of the Arabic language from the other languages. Through this perspective, my hypothesis is well validated.

Finally, looking at the single American institution, no high concentration of data or green dots surround it. A high concentration of English language is however found around the French institutions as well as towards the South-West.

Area 3: Ras Beirut

In area 3, which dominates in American educational centers, we can see a large concentration of the English language between the institutions; more specifically, around Hamra. This result however, could be biased by the fact that most of our data was taken from this area, as shown by the heat-map at the bottom of the page.

Area 4: South Beirut

In the Southern landscape, we find 2 Arabic institutions, 1 French and 3 American.
As for Area 2, the red dots are well isolated from the others around the Arabic based educational centers. We can also find a lack of green dots away (towards the North) from the American ones. In addition, a good concentration of blue dots (french) are scattered around the French School.
This area hence validates my hypothesis.

To end with, I think that my hypothesis was validated to some extent. Indeed, the unfairly distributed data between the chosen areas did influence my results. Maybe this project could explain the high concentration of French linguistics in Ashrafieh’s landscape as discussed in class, or even the absence of that language in Ras Beirut because of the lack of French educational institutions/Historical presence of the French after WWI.