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Evidence Guide: CPPSIS5040 - Interpret and collate spatial data

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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

 

CPPSIS5040 - Interpret and collate spatial data

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

Access spatial data.

  1. Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.
  2. Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.
  3. Data is manipulated into appropriate format to meet project requirements.
Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is manipulated into appropriate format to meet project requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Query and interpret spatial data.

  1. Data is queried and interpreted using appropriate equipment and software application according to project requirements.
  2. Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.
  3. Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.
Data is queried and interpreted using appropriate equipment and software application according to project requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collate spatial data.

  1. Spatial data is collated according to organisational requirements.
  2. Most appropriate format and database for spatial data are selected according to organisational requirements.
Spatial data is collated according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Most appropriate format and database for spatial data are selected according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Validate spatial data.

  1. Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.
  2. Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.
  3. Spatial data is archived and records and documentation are completed according to organisational requirements.
Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Spatial data is archived and records and documentation are completed according to 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.

Access spatial data.

1.1.

Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.

1.2.

Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.

1.3.

Data is manipulated into appropriate format to meet project requirements.

2.

Query and interpret spatial data.

2.1.

Data is queried and interpreted using appropriate equipment and software application according to project requirements.

2.2.

Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.

2.3.

Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.

3.

Collate spatial data.

3.1.

Spatial data is collated according to organisational requirements.

3.2.

Most appropriate format and database for spatial data are selected according to organisational requirements.

4.

Validate spatial data.

4.1.

Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.

4.2.

Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.

4.3.

Spatial data is archived and records and documentation are completed according to 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.

Access spatial data.

1.1.

Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.

1.2.

Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.

1.3.

Data is manipulated into appropriate format to meet project requirements.

2.

Query and interpret spatial data.

2.1.

Data is queried and interpreted using appropriate equipment and software application according to project requirements.

2.2.

Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.

2.3.

Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.

3.

Collate spatial data.

3.1.

Spatial data is collated according to organisational requirements.

3.2.

Most appropriate format and database for spatial data are selected according to organisational requirements.

4.

Validate spatial data.

4.1.

Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.

4.2.

Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.

4.3.

Spatial data is archived and records and documentation are completed according to 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 interpret and collate spatial data that meets client requirements for two different projects.

While interpreting and collating the above spatial data, the person must:

establish project and client requirements for new spatial data

acquire spatial data from a range of industry-accepted sources

comply with organisational requirements for:

communicating with clients and spatial data providers

completing documentation

facilitating information and knowledge management processes

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 retrieving, managing, manipulating and archiving spatial data

manipulate and analyse geographic information system (GIS) data using GIS software

query and interpret spatial data using databases

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

use one of the following statistical tests and methods to verify relevance of data:

broad analytical studies to determine estimates of risk

making comparisons using basic tests of significance

mean, standard deviation, regression analysis and percentage change.

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

industry-accepted sources of spatial data, including photogrammetry, remote sensing, terrestrial survey and hydrography

key features of coordinate reference systems

GIS software, including ArcInfo, GenaMap and MapInfo

industry-accepted standards and methods for assessing, verifying and validating spatial datasets and dataset sources

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

line instructions and programming for geographical information systems data

organisational requirements relating to:

work health and safety

client service

information and knowledge management

completing documentation

purpose and use of metadata, including:

availability

conditions of use

coordinate system

currency

custodian

data accuracy

data description

date of acquisition

licence

quality

source

spatial data acquisition methodologies

version control

types of spatial data storage technologies

key features of spatial reference systems

statistical tests and methods used to verify relevance of spatial data

techniques for manipulating datasets using:

command lines

general query language, such as structured query language (SQL)

programming language

scripts

techniques for operating, querying and browsing spatial databases.

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

manager

qualified surveyor

spatial data provider

supplier.