I am currently trying to compare two shapefiles (representing buildings) in order to validate simulation results. One shapefile contains real data and the other is the product of an urban simulation model.
The thing is that in most of the papers I found, researchers are using raster data (i.e. http://onlinelibrary.wiley.com/doi/10.1111/tgis.12047/full ) and apply grid-oriented indexes like the Kappa statistics. The only paper I found that compares two vector maps is the following one : http://link.springer.com/chapter/10.1007/978-3-319-46840-2_10 In this paper, "the error is computed as the rate of new real buildings that are not intersected (with a given buﬀer) by buildings obtained by simulation, weighted by their area" (Taillandier et al., 2016). This is a good start but I'd rather use more than one statistic.
Thus, I was wondering if anyone had any idea of how to compare two vector maps, both containing one feature class (buildings), in order to express/measure the agreement between the two maps.
I mainly work with R.