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

Elements and Performance Criteria

  1. Prepare to integrate surveying datasets.
  2. Process surveying datasets.
  3. Finalise surveying dataset integration.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.

Project specifications mustinclude:

constraints

deliverables

principal work activities.

Appropriate persons must include at least one of the following:

client

field hand

manager

registered or qualified surveyor

site personnel.


Performance Evidence

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also integrate two different surveying datasets.

While integrating the above surveying datasets, the person must:

exercise precision when editing, processing, comparing, manipulating and archiving spatial data

select and use industry-accepted processing packages to process surveying datasets into integrated format

comply with legal requirements when accessing and managing spatial data

apply contingency measures when solving problems relating to accuracy and compatibility of data

comply with organisational requirements for:

communicating with clients and other appropriate persons

recording data and completing documentation

working safely when using screen-based equipment

use industry-accepted methods for assessing the validity and integrity of spatial data and resolving errors.


Knowledge Evidence

A person demonstrating competency in this unit must demonstrate knowledge of:

different types of surveying equipment used to capture spatial data

legal requirements for accessing, storing, retrieving and archiving digital and hard copy spatial data, including data privacy and information copyright

methods for comparing and checking different spatial datasets

organisational requirements relating to:

work health and safety

recording data

completing documentation

key features of software applications used to compute measured spatial datasets

spatial data capture methodologies

spatial data formats and structures

spatial data reduction techniques

key features of spatial reference systems.