> > > In a retail area, if every shop is mapped precisely then the > landuse=retail tag could possibly be inferred, in the same way that Google > maps "area of interest" - but looking at Google you can often see mistakes > due to missing or miscategorized shops and homes. Adding the > landuse provides a different level of information, which is not exactly the > same as mapping each shop or office. >
> Also, we do not map individual houses or apartments in any way other than > as part of a larger landuse=retail area, and as buildings. While > building=house can usually be inferred to be residential, this is not > always, true, there are many houses that have been converted into offices > for lawyers or dentists along busy streets, but these are still > appropriately mapped as building=house in many cases. So > landuse=residential is helpful to confirm that an area is predominantly > covered by residences and their gardens or yards and other related > features. > I don't disagree but I don't see the conclusion following from the premise, if you have "miscategorized shops and homes" at the micro-level it seems the macro-level landuse is likely also to be miscatagoized. Let's say you're in an industrial zone: do you tag as such (landuse=industrial) if half of the buildings have been converted to lofts? It would go both ways. But only if it's automated can we get an indicator of the agreement between the macro-level landuse and the buildings contained. IE., as the buildings are converted to lofts, we can have the landuse retabulated and the agreement of the buildings contained upgraded. Something like landuse=residential; calculated_agreement=0.87. While I would agree that urban landuse mapping is not the most important > thing to add to Openstreetmap, it is still worth adding after buildings, > streets, shops and other amenities have been added, just as it is useful to > map the areas of farmland, farmyards, allotments, quarries and other areas, > both to allow maps to be rendered and to allow landcover to be analyzed. > I hear you saying that but it's not clear to me why you feel that way: buildings, streets, shops, and amenities exist. They're not computed aggregates. These are still fundamentally different in my mind. In an area where all landcover has been mapped fairly accurately you can > make some interesting analysis of the use of urban, rural and semi-natural > lands. > This is true. The question is what provides that value better and more accurately since the macro tag "landuse" is in actuality a function of the stuff that actually exists which is mapped in OSM, is it better to have a computer make an objective statement and tell how you accurately the landuse tag fits? And let's be clear, we're not talking about a computer "guessing" it seems to me following the algorithm provided we can determine exactly what you're looking for. Further, it seems having a human enter in an an apromixation is violating the SSOT https://en.wikipedia.org/wiki/Single_source_of_truth, now you have *two* sets of data which are subject to human error. I'm still interested in your critique of the automated method, but I don't find "the input can't be trusted because of human error" a valid reason not to pursue that solution. If the input is mistaken (business mistakenly listed as detached homes) because of human error, I don't see how introducing a process which can produce more human-error is a good solution to the problem. Or one that's maintainable (as then we'd have two potential errors to fix). Makes more sense to actually solve the problem of bad human-provided primary data that can't be reasoned from. -- In the event this email pertains to Real Estate, Texas law <https://texreg.sos.state.tx.us/public/readtac$ext.TacPage?sl=R&app=9&p_dir=&p_rloc=&p_tloc=&p_ploc=&pg=1&p_tac=&ti=22&pt=23&ch=531&rl=20> requires all license holders provide to prospective clients the following forms: Information About Brokerage Services <http://docs.evancarroll.com/realestate/iabs.pdf>, Consumer Protection Notice <https://www.trec.texas.gov/sites/default/files/pdf-forms/CN%201-2.pdf>. My TREC license number is 610570 <https://www.trec.texas.gov/apps/license-holder-search/?detail_id=881377951> and my sponsoring broker is NB Elite Realty LLC. -- Evan Carroll - m...@evancarroll.com System Lord of the Internets web: http://www.evancarroll.com ph: 281.901.0011 <+1-281-901-0011>
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