Thank you. Here is a sample: http://www.openstreetmap.org/?lat=-34.07168&lon=151.10088&zoom=15&layers=B000FTF
The multipolygon annotated "Based on Australian Bureau of Statistics data" I take to be accurate becaouse f its detail and coming from a government source. The coastline in this area (htough not everywhere) should be identical to it. The multypolygon named "Royal National Park" is mostly identical to it, except that there are a few regions of private property that have been excluded from it. I have been identifying these from aerial imagery and the Australian Bureau of Statistics boundaries. 2009/9/17 Ævar Arnfjörð Bjarmason <[email protected]>: > On Wed, Sep 16, 2009 at 10:41 PM, swanilli <[email protected]> wrote: >> I have been trying to tidy up some Australian national park boundaries >> and was wondering if there was a simple way to do it. >> >> What I have is this: >> >> 1. Administrative boundaries provided by a government agency. I take >> these as being accurate as they are quite detailed. >> 2. Park boundaries apparently drawn roughly based on Yahoo imagery. >> 3. Coastline also apparently drawn roughly based on Yahoo imagery. >> >> For most of the park boundary all 3 should be identical but are not. I >> have been tidying them up but it is a long and tedious process >> involving moving thousands of nodes. I have tried copying and pasting >> but this is messy too. The whole thing is further complicated by the >> 2000 node limit in JOSM which means that they need to be split and >> made parts of a multipolygon. >> >> Does anyone have an easy, unmessy, solution? > > There's no magic solution. You could write a program to do it if it's > a repetitive task but that's just different kind of manual labor. > > Perhaps you can show us the data you're working with so we can take a look? > > _______________________________________________ > newbies mailing list > [email protected] > http://lists.openstreetmap.org/listinfo/newbies > _______________________________________________ newbies mailing list [email protected] http://lists.openstreetmap.org/listinfo/newbies
