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I contacted ESRI tech support because I was hesitant to edit the .lot file myself. I needed ESRI to make several customizations to the .lot file to improve geocode success for CT addresses. As part of it, ESRI adjusted the score weights for some of the address elements. In looking at their changes, it appears that they doubled the score weights for the prefix, suftype, and suffix. This seems to have increased the penalty when these fields do not match. Since these edits were made in addition to some others, I can't say what their individual impact was. But upon review of the match scores, I was able to determine that a 90% match score gives me the match quality that I was looking for, where previously it was closer to 95%. With the greater weights for the elements, a 90% works better for me because it allows for penalties due to spelling sensitivity that were lost with a 95% criteria. From the customized ESRI file: <!--Street name elements and their assigned weights--> <def name="FullStreetName"> <alt> <elt ref="prefix" weight="10" stan_weight="11" pre_separator="required" post_separator="required"/> <elt ref="pre_type_no_sthwy" match_as="pretype" weight="6" stan_weight="1000" /> <elt ref="StName" weight="70" stan_weight="10" pre_separator="required" post_separator="required"/> <elt ref="suftype" weight="14" stan_weight="1000"/> <elt ref="suffix" weight="10" stan_weight="15" pre_separator="required"/> </alt> <alt fallback="true"> <elt ref="prefix" weight="10" stan_weight="11" pre_separator="required" post_separator="required"/> <elt ref="pre_type_sthwy" match_as="pretype" weight="6" stan_weight="2000" /> <elt ref="OptHyphen" weight="0"/> <elt ref="StName" weight="70" stan_weight="10" pre_separator="optional" post_separator="required"/> <elt ref="suftype" weight="14" stan_weight="1000"/> <elt ref="suffix" weight="10" stan_weight="15" pre_separator="required"/> </alt> </def> Hope this helps. -Karyn
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03-25-2011
11:13 AM
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Thank you for posting this! I see this will be handy to my project.
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03-11-2011
08:28 AM
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I am well versed in using Tele Atlas street data for geocoding health data. A new geocoding project I am working on utilizes NAVTEQ street data. I am having some trouble getting the NAVTEQ data to work for me as well as the TA data, mostly because of the differences in the structure of the data fields. Has anyone used alternate names tables with both TA and NAVTEQ? Tele Atlas provided alternate names as pure aliases which made the development of an alternate names table easy by providing the list of aliases by a join id. NAVTEQ provides their alternate names along with alternate house numbering suggesting that the alternate names are not aliases but unique street segments utilizing an alternate name. To use the NAVTEQ alternate names, I created a composite locator which geocodes against the main NAVTEQ street file and then against the alternate name street file. My issue remains, however, that the alternate names provided in the NAVTEQ file are limited. Since we use self-reported addresses for geocoding, a single road may have numerous aliases: 100 Berlin Turnpike, 100 Route 5 / Route 15, 100 N Broad St, perhaps at a point where several roads converge/overlap. Has anyone developed an alternate/alias name table using NAVTEQ streets data?
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03-04-2011
06:25 AM
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Kim, I believe that ArcToolbox still has the Standardize Address tool available. The standardized address output function is no longer a part of the address locator, but the tool can be used on your input addresses or on your matched/unmatched addresses independent of the geocoder.
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03-04-2011
04:50 AM
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Excel doesn't always maintain variable properties as it goes back and forth between programs. If the zipcode in Excel is being displayed with the preceding zero because the zipcode format has been applied to that cell/column, then the data is still considered numeric. Also, even if the zipcode data column has been changed to text format, your data may not retain that property when being read into another program. For ArcGIS, I always save my data tables in dbf format. You can save your excel file as dbf, but check to be sure the preceding zero was maintained. Also, you can always convert your Excel table into an ArcGIS table via ArcCatalog. This would be the preferred method to ensure compatibility between your table and ArcGIS processing.
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03-01-2011
06:59 AM
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In v10 just like 9.x, when you create an address locator, you pick the fields from the reference database that match the address locator elements. In v10, at the bottom of the field selections, there is the option to select an additional (L and R if using Dual Range Style) field from the reference database that will be output with the matched results. For my projects, I choose the unique identifier in the reference database as the additional field. This way, I can look at my results and link each matched result back to the candidate it matched to in the reference database because the unique identifier value is listed as the User_fld.
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03-01-2011
06:49 AM
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Brad, This customization will be very helpful. For my projects, we geocode by both town and zip code but then we want to geocode remaining addresses by just one zone. I could not get the v10 composite address locator to properly apply the individual address locators because it always expected both town and zip even when an address locator was created using only 1 zone. I will try your proposed solutions. Thank you. Also, you may want to tag or repost this thread since the title is not representative of your very valuable solution.
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03-01-2011
06:19 AM
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In 9.x, the matching of ties is arbitrary. As I understand it, the first candidate that matches at 100% is used. If choosing not to match when candidates are tied, then cases with duplicate candidates with the same geometry will remain unmatched. This can be an issue when using alternate names (like 10th St and Tenth St). In v10, the documentation states that candidates with the same geometry will not be considered Ties. This avoids the 10th vs Tenth issue. However, matching of ties with different geometry is still arbitrary.
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03-01-2011
05:56 AM
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I'm curious about how the geocoding engine reads in the raw address that is to be geocoded versus the candidate addresses from the street reference database. In my street reference database, "Route 66" exists in the field ST_NAME. When the geocoder displays the candidate addresses, it parses "Route" into the PRE_TYPE field and "66" in the ST_NAME field. If my reference database already has the elements parsed into the appropriate fields, and those fields are defined in the address locator, why does the geocoder parse them differently when evaluating candidates?
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03-01-2011
05:46 AM
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As a specific example: 110 N Main St matches to 110 E Main St at 97% I do not want a N Main St to match to an E Main St and I would have thought the penalty for a different pre-directional would be greater.
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03-01-2011
05:35 AM
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