-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hey, thanks for your email; very interesting to hear from someone who has worked for this agency. We make heavy use of the GNS data around the world. I will explain what we are doing in this particular case in Guinea.
We are currently start by importing the GNS data into our database first. Next I go through an area covering 1 or 2 topo sheets and create a blank place node with a fixme tag on it for every town that appears on the topo maps, whether they have a name there or not (except I skip creating a node for any that already are in OSM from the previous GNS import for the area). Then a task manager job is created to have volunteers go over the area and type in any names that appear on the topo maps (and also enter alternate spellings if the two sources don't agree). Finally, after all the name data is in the database, we go back over the area one last time and move every place node to its correct position using the false color landsat 8 imagery (villages are bright pink dots so this is very easy to do). During this stage we often flip back and forth between the imagery and the topo maps to determine what the local offset if due to inveteracies in the original datasets and/or inaccuracy of my othro-rectification of the scanned maps. In regard to your second question about landscan and Afripop: The Red Cross and MSF who are doing work with our data are aware of afripop and may end up using it in conjunction with OSM data to do their own analysis, but the format of the afripop data makes it not particularly suited for import into OSM directly. The same thing is basically true of the landscan data. It is 1km gridded raster data so it would be useful for background rendering on our lower zoom levels, but again it can't really be used to improve the OSM database directly. Hope this answers your questions. It would be good to speak with you on Mumble if you are interested in helping with merging in this name data. We need experienced people to handle some of the more complicated bits of the process. Here is a link to instructions on how to set up mumble if you want to talk about this further. https://wiki.openstreetmap.org/wiki/Mumble Thanks again, - -AndrewBuck On 04/02/2014 10:21 AM, John Gates wrote: > re: Ebola Outbreak Guinea, West Africa -- Mapping to support > > Apologies from a HOT newbie, but as retired NGAer (National > Geospatial-Intelligence Agency--successor to NIMA, DMA & Army Map > Service) had some basic observations/questions concerning base > mapping: > > 1. GEOnet Names Server (GNS) is good standardized names source, > but probably not more accurate or dense than the 1:250K JOGs that > were compiled in the 1950's from 1930's base mapping. Are there > other sources that the HOT relies on? Although I can't peruse NGA > holdings anymore, the US Library of Congress here in Washington has > a very good collection of maps from around the world. Unfortunately > very few have been scanned and placed on-line. I can check holdings > in the stacks if there is interest. They allow maps to be > photographed or scanned but copyright must be respected. > > 2. Does the HOT use standardized raster population datasets like > Landscan or Afripop to augment the vector mapping? It might be > helpful in this case. > > Thanks, > > John Gates > > -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) Comment: Using GnuPG with Thunderbird - http://www.enigmail.net/ iQIcBAEBAgAGBQJTPX0GAAoJEK7RwIfxHSXbxPEP/2HeBY9dctdC0HO/sAnrmyx+ JnmZ3h/YoU/hH/f2gB/i3MuDtEFpxEFFkMwE9tppxP/ksh8zXLeL24tUG7mKOWAW 7fzL7kEdOkZrUAt6vvOa7aNeXSWGJotf/NzGu/3XiDg3+s6ICRDDJ5vJP2CUmiVF 3F9TzupWpumL6OxuiXjj2n6ZJK5U8DZN3ghrRv1A0Cp3LMzv9Px3JPG/7VioiRQj d7P3aksVJALnzBweKOaSmZ7+rrIjalvXAl6rFYRo+gi2AYC8cB5+WvFx+vxfQppE cfvJ/BSwgditiEV1hZ900R6c/1sBPq5c42BH5A9kcE7OcC6hbb68i1CUkIZaZLhT 2cryBh0SMhQoVjr7+yS/l8wIKry9s5X7pb/pjTjJQ4sXBuGSl0Gnyak2fCpKNS9A wx3m0NIuzDm83+TGDu3wH4hvNZ5Gskdmu1FC9lpjc90mIgLu14YuCjTXCKYvq6Bu EjzhHkTJm8p4G+vuJbGoPQUNIupe6a6mhTN0ny3pfjS0zkwWmjqeNCs/TBfEz1SS WcP6BegtvwN1K4EkAuaJL84uEh/PhD9jadQF1/+cDmuTb5Lu6CFzz6NefB9yUXWo f0Itp/P07LA/do9zv0ZwwHGtZvKL1p5NkAdQYdzrc4j19y0X1YiaGLeFFVjR+1Pj mzFtJP4Cfwa8BWX8/8uX =s55V -----END PGP SIGNATURE----- _______________________________________________ HOT mailing list [email protected] https://lists.openstreetmap.org/listinfo/hot
