Google Links

Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

  1. Input data
  2. Create relationships
  3. Create and maintain data sets

Evidence Required

Overview of assessment requirements

A person who demonstrates competency in this unit will be able to perform the outcomes described in the Elements to the required performance level detailed in the Performance Criteria The knowledge and skill requirements described in the Range Statement must also be demonstrated For example knowledge of the legislative framework and safe work practices that underpin the performance of the unit are also required to be demonstrated

Critical aspects of evidence to be considered

Geometry mathematics and spatial referencing system concepts are applied appropriately

Context of assessment

On the job or in a simulated work environment

Method of assessment

The following assessment methods are suggested

observation of the learner performing a range of workplace tasks over sufficient time to demonstrate handling of a range of contingencies

written andor oral questioning to assess knowledge and understanding

completion of workplace documentation

thirdparty reports from experienced practitioners

completion of selfpaced learning materials including personal reflection and feedback from trainer coach or supervisor

Evidence required for demonstration of consistent performance

Evidence will need to be gathered over time across a range of variables

Resource implications

Access to

GIS database

examples of council policies procedures and standards


Range Statement

The Range Statement relates to the Unit of Competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording in the Performance Criteria is detailed below.

Integrity of data may include:

accuracy

quality, which may be affected by age or condition of hard copy documents

currency

completeness

resolution

confidence limits

scale

Relationships may include:

historical or new relationships

relationships between virtual features

Integration of data may include:

conversion

input

GIS standards may include:

survey accuracy for engineering purposes

sufficient accuracy for town planning needs using large-scale plans and maps

graphical accuracy to meet clerical administration needs