Sayısallaştırılmış Adres Bilgi Sistemi (SABS)

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SABS Sayısallaştırılmış Adres Bilgi Sistemi Nedir Sabs adres sorgulama, sabs nedir, sabs Türkiye genelinde cadde, sokak, kapı numarası ve posta kodu yerine Sayısallaştırılmış Adres Bilgi Sistemi (SABS) hayata geçiriliyor.

Her vatandaşın TC kimlik numarası olduğu gibi her ev, daire ve iş yerinin bir SABS numarası olacak. Sistemin mimarı yazılım uzmanı Sedat Efe, Sayısallaştırılmış Adres Bilgi Sistemi ile Türkiye’de sınav kağıtları, icra mektupları, kredi kartı ve telefon faturaları gibi önemli evrakların yanlış adrese veya geç gitmesi gibi problemlerin çözüleceğini söyledi.

Posta kodu sisteminin 1980′li yıllarda Türkiye’de uygulanmaya başladığını hatırlatan Efe, “Bu sistem biraz gevşetildi, köylerin kendine has kodları kaldırıldı. Posta kodu olarak kullandığımız kod mahallemizin veya köyümüzün değil, bağlı bulunduğumuz postanenin kodunu belirtiyor. Adres sorulduğunda veya bir posta, kargo göndereceğimiz zaman hikaye anlatır gibi uzun bir adres vermek zaman kaybı haline geldi. Adres yazmanın belli bir standart üzerine oturtulmamış olmasından dolayı iş, zaman ve maddi kayıplar meydana gelmektedir” dedi. [1]


Geocoding is the process of finding associated geographic coordinates (often expressed as latitude and longitude) from other geographic data, such as street addresses, or zip codes (postal codes). With geographic coordinates the features can be mapped and entered into Geographic Information Systems, or the coordinates can be embedded into media such as digital photographs via geotagging.

Reverse geocoding is the opposite: finding an associated textual location such as a street address, from geographic coordinates.

A geocoder is a piece of software or a (web) service that helps in this process.

Address interpolation[değiştir | kaynağı değiştir]

A simple method of geocoding is address interpolation. This method makes use of data from a street geographic information system where the street network is already mapped within the geographic coordinate space. Each street segment is attributed with address ranges (e.g. house numbers from one segment to the next). Geocoding takes an address, matches it to a street and specific segment (such as a block, in towns that use the "block" convention). Geocoding then interpolates the position of the address, within the range along the segment.

Example[değiştir | kaynağı değiştir]

Take for example: 742 Evergreen Terrace

Let's say that this segment (for instance, a block) of Evergreen Terrace runs from 700 to 799. Even-numbered addresses would fall on one side (e.g. west side) of Evergreen Terrace, with odd-numbered addresses on the other side (e.g. east side). 742 Evergreen Terrace would (probably) be located slightly less than halfway up the block, on the west side of the street. A point would be mapped at that location along the street, perhaps offset some distance to the west of the street centerline.

Complicating factors[değiştir | kaynağı değiştir]

However, this process is not always as straightforward as in this example.

Difficulties arise when

  • distinguishing between ambiguous addresses such as 742 Evergreen Terrace and 742 W Evergreen Terrace.
  • attempting to geocode new addresses for a street that is not yet added to the geographic information system database.

While there might be 742 Evergreen Terrace in Springfield, there might also be a 742 Evergreen Terrace in Shelbyville. Asking for the city name (and state, province, country, etc. as needed) can solve this problem. Some situations require use of postal codes or district name for disambiguation. For example, there are multiple 100 Washington Streets in Boston, Massachusetts[2] because several cities have been annexed without changing street names.

Finally, several caveats on using interpolation:

  • The typical attribution of a street segment assumes that all "even" numbered parcels are on one side of the segment, and all "odd" numbered parcels are on the other. This is often not true in real life.
  • Interpolation assumes that the given parcels are evenly distributed along the length of the segment. This is almost never true in real life; it is not uncommon for a geocoded address to be off by several thousand feet.
  • Segment Information (esp. from sources such as TIGER) includes a maximum upper bound for addresses and is interpolated as though the full address range is used. For example, a segment (block) might have a listed range of 100-199, but the last address at the end of the block is 110. In this case, address 110 would be geocoded to 10% of the distance down the segment rather than near the end.
  • Most interpolation implementations will produce a point as their resulting "address" location. In reality, the physical address is distributed along the length of the segment, i.e. consider geocoding the address of a shopping mall - the physical lot may run quite some distance along the street segment (or could be thought of as a two-dimensional space-filling polygon which may front on several different streets - or worse, for cities with multi-level streets, a three-dimensional shape that meets different streets at several different levels) but the interpolation treats it as a singularity.

A very common error is to believe the accuracy ratings of a given map's geocodable attributes. Such "accuracy" currently touted by most vendors has no bearing on an address being attributed to the correct segment, being attributed to the correct "side" of the segment, nor resulting in an accurate position along that correct segment. With the geocoding process used for U.S. Census TIGER datasets, 5-7.5% of the addresses may be allocated to a different census tract, while 50% of the geocoded points might be located to a different property parcel.[3]

Because of this, it is quite important to avoid using interpolated results except for non-critical applications, such as pizza delivery. Interpolated geocoding is usually not appropriate for making authoritative decisions, for example if life safety will be impacted by that decision. Emergency services, for example, do not make an authoritative decision based on their interpolations; an ambulance or fire truck will always be dispatched regardless of what the map says.

Other techniques[değiştir | kaynağı değiştir]

Other means of geocoding might include locating a point at the centroid (center) of a land parcel, if parcel (property) data is available in the geographic information system database. In rural areas or other places lacking high quality street network data and addressing, GPS is useful for mapping a location. For traffic accidents, geocoding to a street intersection or midpoint along a street centerline is a suitable technique. Most highways in developed countries have mile markers to aid in emergency response, maintenance, and navigation. It is also possible to use a combination of these geocoding techniques - using a particular technique for certain cases and situations and other techniques for other cases.

Uses[değiştir | kaynağı değiştir]

Geocoded locations are useful in many GIS analysis and cartography tasks.

Geocoding is common on the web, for services like finding driving directions to or from some address, or finding a list of the geographically nearest store or service locations.

Geocoding is one of several methods of obtaining geographic coordinates for geotagging media, such as photographs or RSS items.

Privacy concerns[değiştir | kaynağı değiştir]

The proliferation and ease of access to geocoding (and reverse-geocoding) services raises privacy concerns. For example, in mapping crime incidents, law enforcement agencies aim to balance the privacy rights of victims and offenders, with the public's right to know. Law enforcement agencies have experimented with alternative geocoding techniques that allow them to mask some of the locational detail (e.g., address specifics that would lead to identifying a victim or offender). As well, in providing online crime mapping to the public, they also place disclaimers regarding the locational accuracy of points on the map, acknowledging these location masking techniques, and impose terms of use for the information.

List of some geocoding systems[değiştir | kaynağı değiştir]

Web services:

  • Google Maps Free up to 50,000 queries per day, but with numerous restrictions such as an obligation to display Google Maps pictures when using the service.
  • Yahoo PlaceFinder Free up to 50,000 queries per day, but with numerous restrictions such as an obligation to display Yahoo Maps pictures when using the service. Does not include Australia or many Asian countries.
  • Bing Maps (Microsoft) Free for "public-facing, non-password protected Web sites"; various commercial licence options.
  • OpenStreetMaps Free. Poor coverage as at July 2010.
  • USC Geocoder Free in batches of 2,500. US only. Uses various reference data sources.
  • MapLarge Geocoder Up to 2,000 free per day in small batches via CSV upload. US only. Corrects spelling and other common errors. Outputs detailed match quality statistics.
  • GeocoderUS An open source U.S. Address Geocoder. Unrestricted use for non-profits, and commercial services for a fee.
  • DOTS Address Geocode Appends latitude and longitude information, FIPS state codes (FIPS 5-2) and FIPS county codes (FIPS 6-4) to street addresses that are gathered and/or stored within software applications, Web sites, or other business contact dependent processes. Also has unique reverse geocoding functionality. Free 30-day trial key is available.

Offline geocoders:

Other systems (some of these code systems are free for use, others have different licences):

Ayrıca bakınız[değiştir | kaynağı değiştir]

Kaynakça[değiştir | kaynağı değiştir]

  1. ^
  2. ^ Google Maps
  3. ^ Ratcliffe, Jerry H. (2001). "On the accuracy of TIGER-type geocoded address data in relation to cadastral and census areal units". International Journal of Geographic Information Sciences 15 (5). 

Dış bağlantılar[değiştir | kaynağı değiştir]


  • A Geocoding Best Practices Guide. Goldberg, Daniel W. (2008). Springfield, IL: NAACCR - Free online book describing the geocoding process and offering recommendations from the North American Association of Central Cancer Registries (NAACCR)


Açık Dizin Projesi'nde Geographic Information Systems kategorisi