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Evidence Guide: CPPSIS5052 - Integrate surveying datasets

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

CPPSIS5052 - Integrate surveying datasets

What evidence can you provide to prove your understanding of each of the following citeria?

Prepare to integrate surveying datasets.

  1. Project specifications are identified in consultation with appropriate persons.
  2. Measured datasets are imported or downloaded into a processing package according to project specifications.
  3. Measurements are checked, validated and recorded according to project specifications.
  4. Data is edited according to project specifications and organisational requirements.
Project specifications are identified in consultation with appropriate persons.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Measured datasets are imported or downloaded into a processing package according to project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Measurements are checked, validated and recorded according to project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Data is edited according to project specifications and organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Process surveying datasets.

  1. Measured data is processed for comparison with dataset design using a processing package.
  2. Measurements are validated and recorded according to project specifications.
  3. Checks on integrated data are completed, and problems are identified and resolved or contingencies managed, according to organisational requirements.
Measured data is processed for comparison with dataset design using a processing package.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Measurements are validated and recorded according to project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Checks on integrated data are completed, and problems are identified and resolved or contingencies managed, according to organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Finalise surveying dataset integration.

  1. Documentation is promptly and accurately completed according to organisational requirements.
  2. Appropriate persons are informed of results of dataset integration according to organisational requirements.
  3. Data is archived according to project specifications and organisational requirements.
Documentation is promptly and accurately completed according to organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Appropriate persons are informed of results of dataset integration according to organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Data is archived according to project specifications and organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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.

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.

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.

Required Skills and Knowledge

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.

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.

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.

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.