List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.
Elements describe the essential outcomes. | Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions. |
1. | Prepare to integrate surveying datasets. | 1.1. | Project specifications are identified in consultation with appropriate persons. |
| 1.2. | Measured datasets are imported or downloaded into a processing package according to project specifications. |
| 1.3. | Measurements are checked, validated and recorded according to project specifications. |
| 1.4. | Data is edited according to project specifications and organisational requirements. |
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2. | Process surveying datasets. | 2.1. | Measured data is processed for comparison with dataset design using a processing package. |
| 2.2. | Measurements are validated and recorded according to project specifications. |
| 2.3. | Checks on integrated data are completed, and problems are identified and resolved or contingencies managed, according to organisational requirements. |
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3. | Finalise surveying dataset integration. | 3.1. | Documentation is promptly and accurately completed according to organisational requirements. |
| 3.2. | Appropriate persons are informed of results of dataset integration according to organisational requirements. |
| 3.3. | Data is archived according to project specifications and organisational requirements. |
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.
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.
The following must be present and available to learners during assessment activities:
equipment:
computer with software appropriate for integrating surveying datasets
specifications:
organisational policies, procedures and documentation relating to:
work health and safety
data privacy and information copyright
physical conditions:
access to equipped work station
relationships with team members and supervisor:
working in a team.
Timeframe:
as specified by task and organisational requirements.
Assessor requirements
As a minimum, assessors must satisfy the assessor requirements in the Standards for Registered Training Organisations (RTOs) current at the time of assessment.