Apparently there are different forms of the FLRW metric. I'm focusing on Anti-de Sitter space, so I'll just give the hyperbolic version of the function. $$ds^2=-c^2dt^2+a^2(t)\left[dr^2+R_0\space \sinh\left(\frac{r}{R_0}\right)d\Omega^2\right]\tag 1$$ $$d\Omega^2=d\theta^2+sin^2 \theta\space d\phi^2$$ Here, $d\Omega$ is the angular separation of two points in the sky, but I'm not interested in two points in the sky. I'm analyzing SNe Ia data, so I'm just working in line-of-sight measurements, so as I understand this, the $d\theta$ and $d\phi$ terms go to zero (that is, there's no change in the angle), so the whole $d\Omega$ term is zero. This leaves us with: $$ds^2=-c^2dt^2+a^2(t)dr^2$$ Which doesn't seem right. Is the distance in a hyperbolic plane the same as a flat plane or closed surface if you're not dealing with angular separation? Am I interpreting the metric correctly?
EDIT: The other form of the FRW metric seems to suggest the curvature changes the length of a line-of-sight measurement. $$ds^2=-c^2dt^2+a^2(t)\left[\frac{dr^2}{1+k\space r^2}+r^2d\Omega^2\right]\tag 2$$ Where $k$ is either a scalar (1 for closed, 0 for flat, -1 for saddle) or the Gaussian Curvature (still not sure how that's used). Setting the angular separation to zero, you get: $$ds^2=-c^2dt^2+a^2(t)\frac{dr^2}{1+k\space r^2}$$ This seems to fly in the face of the version in (1), so I'm missing some major concept here. Can anyone tell me what that is?