[Talk-us] Am I doing this right? Houses w/ addresses

Steve Friedl steve at unixwiz.net
Sun Apr 12 16:09:31 UTC 2015

Yes, I've been using the OC Public Works data; almost 2 years ago the county actually released their parcel database into the public domain, so I was using the website version for the second round of addressing exactly as you suggested (the first round was the tedious driving around and verifying that you'd expect).

So last night I actually downloaded the OC GIS Landbase to look at directly, and found to my surprise that it includes parcel vectors and Assessor Parcel Numbers, with streets but no house numbers, so they have not released that layer. 

Attached is the same area of the map with the house on Coachman Way, and it shows only an index number that a separate index-to-APN translation maps; 6250127 maps to Assessor Parcel Number 837-433-01.  Bummer.

I have friends who are well connected in the Orange County GIS community, so I may be able to find out what's going on here, but even without street addresses, just having more recent / accurate city boundaries will likely be better than what I think are the old TIGER boundaries.

Other cities in Orange County may have released more specific GIS data, which I'll look at importing (after following all the required OSM procedures, of course). 


-----Original Message-----
From: Frederick Hunter [mailto:fhunterz at verizon.net] 
Sent: Sunday, April 12, 2015 7:30 AM
To: Harald Kliems
Cc: Nick Hocking; Tod Fitch; talk-us at openstreetmap.org
Subject: Re: [Talk-us] Am I doing this right? Houses w/ addresses

Hi All,

I used to use a dashcam in my car to record addresses as it would overlay coordinates on the video feed making it easy to determine where I was. But as some folks mentioned, it is difficult to see the house number when going over 35-40KM/h. Now I use it to capture store names and add those to OSM after looking them up online.

I later discovered the MassGIS L3 Parcel data that can be overlaid onto the map in JOSM to make finding and adding addresses much quicker.

I found it easier to use two monitors side by side (one with an online viewer of the parcel data and one with the OSM online editor). When submitting the changeset I reference the datasource as MassGIS L3 parcel data.

In your case, if you want to map in OC, I found some public address data on a map using this page: http://landrecords.ocpublicworks.com/ocsl
(Unfortunately I could only get this to work on Windows and Internet Explorer with Silverlight - so no luck for us Linux fans). Just be sure to verify the data is not out of date on their maps. 

I attached two screenshots of the same location you provided earlier using the OC landrecords page:

Just be sure to click on the layers button, select Parcel features and check off Parcels, Parcel Address, and Parcel numbers to add the address information to the map when zoomed in. 



Am Sonntag, den 12.04.2015, 01:35 +0000 schrieb Harald Kliems:
> In areas with detached houses, the Android app Keypadmapper has worked 
> pretty well for me. Once house numbers get too dense (worst case:
> Montreal, where each apartment in a duplex or triplex will have it's 
> own house number) it starts getting tricky assigning the number to the 
> correct building. And yeah, Mapillary imagery can definitely be useful 
> for address data.
>  Harald.
> On Sat, Apr 11, 2015 at 5:37 PM Tod Fitch <tod at fitchdesign.com> wrote:
>         As to the first: Yes, definitely a great job of mapping
>         address house numbers!
>         As to gathering numbers: I’ve gone through several iterations
>         on collecting data. At first I was using a walking papers
>         style method complete with people asking me what I was doing
>         and, in one case, calling the police. That was too much
>         attention for my liking.
>         My next iteration was to use OSMtracker with a set of ear buds
>         with microphone and simply gathering a voice sample as I
>         walked by a house. This actually worked pretty well. I was
>         inconspicuous as people are used to phone users talking to
>         themselves. I had two problems with it however: First there
>         was sometimes ambient noise that made it difficult to hear the
>         number when played back. Second, and far worse, it took longer
>         to enter all the data than it took to collect. I’d take a two
>         hour walk in the morning and spend the rest of the day
>         entering data. Okay to do occasionally but not something to
>         make a career of.
>         My current method is to use OSMpad and type in the numbers as
>         I walk by. Data collection is a little slower and more
>         conspicuous than using OSMtracker with a microphone but so far
>         it is inconspicuous enough that I don’t attract attention.
>         After all, many people wander the streets oblivious to their
>         surroundings while texting. A mapper appearing to do the same
>         thing is not remarkable. The big advantage over voice
>         recordings is that in JOSM it only takes a couple of minutes
>         to align the address points with the satellite imagery, verify
>         street names, add city and upload.
>         Regarding doing address collection in a car, or for that
>         matter on a bicycle, I don’t think it is really feasible to
>         get each number that way unless you are driving at walking
>         speed. Think how long it actually takes to 1. Press a record
>         button, 2. Wait a second to assure it is recording, 3. speak
>         the number or street name. If you are driving at 25 MPH that
>         is 37 feet/second. In my neighborhood you need to be
>         consistently entering a new address every second to second and
>         a half. Try clearly enunciating a 2, 3, 4 or even 5 digit
>         house number in 1.5 seconds. Now try doing that consistently
>         for hundreds of houses. If you are only interested in house
>         number ranges, then collection in a moving vehicle could be
>         feasible. But I don’t consider it feasible to get individual
>         numbers for all houses along a street that way: Too much
>         typing or speaking in too little time. A solution to that
>         would be to be automatically taking geotagged photographs
>         continuously the same as the survey vehicles that Google and
>         other employ. I suppose the price of that type of thing will
>         drop but for now if you are just mapping with a handheld GPS
>         or smart phone walking is the best way I know to collect house
>         numbers.
>         Cheers,
>         Tod
>         > On Apr 11, 2015, at 1:53 PM, Nick Hocking
>         > <nick.hocking at gmail.com> wrote:
>         > 
>         > Excellent job Steve,
>         > 
>         >  
>         > 
>         > I believe that house addresses is the only thing missing
>         > from OSM that is stopping it from becoming the mainstream
>         > mapping data of choice!
>         > 
>         > I’ve always been interested in how to collect addresses,
>         > which can be a time consuming and difficult task. Walking
>         > around a neighborhood with paper and pencil peering into
>         > people’s letter boxes and at their front doors may upset
>         > some people, so I’ve though up a (possibly) better way. 
>         >  
>         > 
>         > 
>         > Two people, in a car. Two GPS units, probably both
>         > smartphones, one recording the track log and the other
>         > recording the passengers voice.
>         > 
>         > As you drive down the road, the passenger calls out
>         > something like…..
>         > 
>         > 12 left 15right 14 left  16 right….. turning left on main
>         > street, 67 left etc, etc..
>         > 
>         > Then later in an editor you can match times from the two
>         > sources and compare against Bing imagery to correctly place
>         > the house numbers.
>         > 
>         > 
>         > Cheers
>         > _______________________________________________
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>         > Talk-us at openstreetmap.org
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