Title

Vicmap Lite - Place Name Point - 1:250,000 to 1:5,000,000 

Alternate title

VMLITE_LOCALITY 

Purpose

THIS DATASET WAS LAST UPDATED IN NOVEMBER 2012 

Supplemental Information

Current Design Issues: The classification scheme used is not strictly based on Town population size. Some minor towns in terms of population have been raised in status because of their remoteness or their postion in relation to the road, rail or stream network. Most suburbs of cities such as Melbourne, Geelong, Ballarat, Bendigo and Albury have been assigned the minimum level classification to avoid clutter when labelling towns in dense urban areas. Related Documents: None 

Status

Completed  

Horizontal Accuracy

1000m  

Code

4283 

Maintenance and update frequency

As needed  

Topic category

• Structure

Use limitation

Data available via DELWP Data Service Providers www.delwp.vic.gov.au/vicmapdsp or DataVic www.data.vic.gov.au For enquires relating to this product: vicmap.info@delwp.vic.gov.au 

Classification

Unclassified  

Statement

Dataset Source: Derived from the L100MGA library group LOCN dataset and the L1000-DD94DCW library group PPPOINT dataset. Dataset Originality: Derived 

Description

Collection Method: Derived from source 

Description

The ESRI Digital Chart of the World dataset PPPOINT was clipped to the extent of the MAPBASE_G200 dataset to limit the data to the South East region of Australia. The PPPOINTppptype item along with the case of the associated pptname item was used to classify towns across the whole extent of the dataset into three levels which equate to levels 1,2 and 3 in the new dataset. Levels 4, 5, 6 and 7 were then manually assigned to major towns, regional centres, cities and capital cities respectively. Towns that existed in LOCN but not in PPPOINT were then assigned a level of 0. This initial classification was then manually adjusted to suit cartographic purposes. Towns that existed in both LOCN and the working dataset were joined by name and the relevant points from locn substituted for the less accurate data from PPPOINT. Scale Use Code attribute then added and populated. 

Classification

Unclassified  

Attribute Quality

Comments

The general validity of the classification scheme was verified by comparison with published map sources such as Melways. All names were processed to ensure consistent capitalisation of the words. 

Positional Accuracy

Comments

Same as LOCN within Victoria (10m to 100m (will vary according to source map) 

Conceptual Consistency

Comments

A consistent subset of the LOCN dataset within Victoria with a classification code added. 

Missing Data

Comments

All locations classified as Town in the spatial dataset LOCN have been incorporated along with all named towns extracted from the relevant tiles of the ESRI Digital Chart of the World PPPOINT dataset. Completeness Verification: The completeness of the dataset was verified by overlay with the VICMAP VMFEAT.PL_PLACE_AREA_POLYGON dataset to ensure that no major towns (big enough to warrant mapping via a polygon extent) were missing. The general validity of the classification scheme was verified by comparison with published map sources such as Melways. 

Excess Data

Comments

The ESRI Digital Chart of the World dataset ppptype item along with the case of the associated pptname item was used to classify towns across the whole extent of the dataset into three levels which equate to levels 1,2 and 3 in the new dataset. Levels 4, 5, 6 and 7 were then manually assigned to major towns, regional centres, cities and capital