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Evidence Guide: CPPSIS5036 - Integrate spatial 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

 

CPPSIS5036 - Integrate spatial datasets

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

Prepare to integrate datasets.

  1. Client specifications are identified and analysed to determine specific needs and required outcomes.
  2. Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.
Client specifications are identified and analysed to determine specific needs and required outcomes.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Obtain spatial and attribute data.

  1. Metadata is used to determine sources of data consistent with project specifications.
  2. Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.
  3. Geographic coverage is assessed for completeness according to project specifications.
  4. Metadata set is compiled based on sourced spatial data.
  5. Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.
Metadata is used to determine sources of data consistent with project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Geographic coverage is assessed for completeness according to project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Metadata set is compiled based on sourced spatial data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Create resultant spatial datasets.

  1. Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.
  2. Spatial data is translated into a format that satisfies project specifications.
  3. Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.
Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial data is translated into a format that satisfies project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Link spatial and attribute data.

  1. Method required for referencing location of attribute data is identified according to organisational requirements.
  2. Spatial and attribute data are linked according to client specifications and organisational requirements.
  3. Spatial queries are carried out on spatial data to access attribute data according to project specifications.
Method required for referencing location of attribute data is identified according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial and attribute data are linked according to client specifications and organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Test and validate spatial datasets.

  1. Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.
  2. Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.
  3. Documentation is completed according to organisational requirements and appropriate persons are notified of project results.
Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

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 datasets.

1.1.

Client specifications are identified and analysed to determine specific needs and required outcomes.

1.2.

Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.

2.

Obtain spatial and attribute data.

2.1.

Metadata is used to determine sources of data consistent with project specifications.

2.2.

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

2.3.

Geographic coverage is assessed for completeness according to project specifications.

2.4.

Metadata set is compiled based on sourced spatial data.

2.5.

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

3.

Create resultant spatial datasets.

3.1.

Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

3.2.

Spatial data is translated into a format that satisfies project specifications.

3.3.

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

4.

Link spatial and attribute data.

4.1.

Method required for referencing location of attribute data is identified according to organisational requirements.

4.2.

Spatial and attribute data are linked according to client specifications and organisational requirements.

4.3.

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

5.

Test and validate spatial datasets.

5.1.

Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

5.2.

Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.

5.3.

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

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 datasets.

1.1.

Client specifications are identified and analysed to determine specific needs and required outcomes.

1.2.

Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.

2.

Obtain spatial and attribute data.

2.1.

Metadata is used to determine sources of data consistent with project specifications.

2.2.

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

2.3.

Geographic coverage is assessed for completeness according to project specifications.

2.4.

Metadata set is compiled based on sourced spatial data.

2.5.

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

3.

Create resultant spatial datasets.

3.1.

Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

3.2.

Spatial data is translated into a format that satisfies project specifications.

3.3.

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

4.

Link spatial and attribute data.

4.1.

Method required for referencing location of attribute data is identified according to organisational requirements.

4.2.

Spatial and attribute data are linked according to client specifications and organisational requirements.

4.3.

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

5.

Test and validate spatial datasets.

5.1.

Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

5.2.

Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.

5.3.

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

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 spatial datasets for the purpose of providing spatially referenced information for two different projects.

While integrating the above spatial datasets, the person must:

select and use industry-accepted software applications to obtain spatial data, create datasets, and link attribute data

comply with organisational requirements while:

communicating with clients and other appropriate persons

ensuring quality of datasets

recording data and completing documentation

working safely when using screen-based equipment

comply with legal requirements relating to data privacy and information copyright when accessing and using spatial data

devise and implement functional solutions to spatial datasets

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

perform querying techniques to access attribute data and test and validate spatial data

prepare exception reports to identify non-conforming data

reference and link the location of attribute data

translate spatial data into industry-accepted formats

use approved methods for assessing accuracy and integrity of spatial data and resolving errors

use filtering parameters, including attribute range accuracy and geographic location to establish accuracy and redundancy of data.

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

data acquisition methods

database querying techniques and languages

key features of spatial data

legal requirements for accessing and manipulating spatial data, including copyright

methods for comparing and checking different spatial datasets

organisational requirements relating to:

work health and safety

recording data

completing documentation

principles of data acquisition, including photogrammetry, remote sensing, terrestrial survey and hydrography

quality guidelines regarding the validity of spatial data

software applications used to compute spatial datasets

key features of spatial coordinate and reference systems

spatial data formats and structures

spatial database design tools

key characteristics of spatial database operation

spatial dataset integration methods, including role of scale in 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.

Appropriate persons must include at least two of the following:

client

end user

staff

manager.

Metadata must include at least four 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.