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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 for spatial data acquisition.
  2. Validate spatial data.

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.

Appropriate persons must include at least two of the following:

client

end user

financial or legal specialist

manager

qualified surveyor

spatial data provider

supplier

town planner.

Metadata must include at least three of the following:

availability

conditions of use

coordinate system

currency

custodian

data accuracy

data description

date of acquisition

licence

quality

source

spatial data acquisition methodologies

version control.


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 obtain and validate spatial data that meets client specifications for two different projects.

While obtaining and validating the above spatial data, the person must:

apply contingency measures when solving problems relating to data

comply with organisational requirements and manufacturer specifications when using the equipment specified in the assessment conditions

comply with organisational requirements for:

allocating resources, delegating duties and working within budgetary constraints

communicating with clients and spatial data providers

recording metadata and completing documentation

working safely when using screen-based equipment

comply with legal requirements relating to client service provision, and accessing and managing spatial data

exercise precision when archiving, retrieving, managing and manipulating spatial data

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:

industry-accepted standards relating to obtaining and validating spatial data

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

methods for assessing and validating spatial datasets and dataset sources

organisational requirements relating to:

work health and safety

client services

human resource management

completing documentation

spatial data capture methodologies

spatial data formats and structures

key features of spatial reference systems.