postcode2ste

While for most postcodes, the state enclosing it
is easy to evaluate (e.g. most postcodes in 2000-2999 are in NSW),
the general case is non-trivial. In particular, some postcodes
straddle state borders.

Efficient tools for parsing and standardizing Australian
addresses from textual data. It utilizes optimized algorithms to accurately identify and
extract components of addresses, such as street names, types, and postcodes, especially
for large batched data in contexts where sending addresses to internet services may be
slow or inappropriate. The core functionality is built on fast string processing techniques
to handle variations in address formats and abbreviations commonly found in Australian
address data. Designed for data scientists, urban planners, and logistics analysts, the
package facilitates the cleaning and normalization of address information, supporting
better data integration and analysis in urban studies, geography, and related fields.

Hugh Parsonage

healthyAddress

Convert Addresses to Standard Inputs

postcode2ste function

<dl><dt>Postcodes</dt>
<dd>An integer vector of postcodes.</dd>
<dt>result</dt>
<dd>One of <code>"integer"</code> or <code>"character"</code>.
If <code>"character"</code> the abbreviated state names(s) are returned.</dd></dl>

Arguments

In what states do postcodes lie? — postcode2ste

<dl>

<dt>Postcodes</dt>
<dd>An integer vector of postcodes.</dd>


<dt>result</dt>
<dd>One of <code>"integer"</code> or <code>"character"</code>.
If <code>"character"</code> the abbreviated state names(s) are returned.</dd>

</dl>

postcode2ste: In what states do postcodes lie?

Description

Usage

Value

Arguments

Examples