The analogy between surfaces and vector space

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When I am reading the first chapter of "A Primer on Mapping Class Groups" by Farb and Margalit, there is a beautiful analogy between surfaces and vector spaces. I have interpreted as the following and please correct me if anything is wrong.

Surface S Vector Space V
Simple closed curves $\alpha$ in $S$ Vector $v\in V$
Set of essential simple closed curves in S Basis $\beta$ of $V$
Mod(S)=Homeo$^+$(S,$\partial$ S)/homotopy GL(V) = GL(n,F)/basis
f=[$\phi$]$\in$ Mod(S) $T=[M]\in GL(V)$, $M$ denoted as some matrix representation of T
To understand $f$, we look at $f(\alpha)$ To understand $T$, we look at $T(v)$
Geometric intersection number i(a,b) Inner product $\langle a,b\rangle$
Minimal position ?
Bigon ?
Geodesic representation ?

However, I have trouble figuring out the last three lines. Moreover, are there more analogy between them?