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Evidence Guide: CPPSIS5064 - Coordinate GIS data manipulation and analysis

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!

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CPPSIS5064 - Coordinate GIS data manipulation and analysis

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

Prepare to meet client GIS data needs.

  1. Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons.
  2. Parameters for data manipulation and analysis are specified according to project specifications.
  3. New procedures for manipulating and analysing data to meet project specifications are documented.
Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Parameters for data manipulation and analysis are specified according to project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

New procedures for manipulating and analysing data to meet project specifications are documented.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Establish GIS data models.

  1. Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications.
  2. Feasible parameters, equations and assumptions are developed according to project specifications.
  3. Models are established to meet project specifications according to organisational requirements.
Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Feasible parameters, equations and assumptions are developed according to project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Models are established to meet project specifications according to organisational requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Manipulate and analyse GIS data.

  1. Processes for data manipulation and analysis are determined and used to meet project specifications.
  2. Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed.
  3. Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications.
  4. Data is manipulated and prepared for presentation media, and project is finalised according to organisational requirements.
Processes for data manipulation and analysis are determined and used to meet project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is manipulated and prepared for presentation media, and project is finalised 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.

Prepare to meet client GIS data needs.

1.1.

Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons.

1.2.

Parameters for data manipulation and analysis are specified according to project specifications.

1.3.

New procedures for manipulating and analysing data to meet project specifications are documented.

2.

Establish GIS data models.

2.1.

Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications.

2.2.

Feasible parameters, equations and assumptions are developed according to project specifications.

2.3.

Models are established to meet project specifications according to organisational requirements.

3.

Manipulate and analyse GIS data.

3.1.

Processes for data manipulation and analysis are determined and used to meet project specifications.

3.2.

Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed.

3.3.

Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications.

3.4.

Data is manipulated and prepared for presentation media, and project is finalised 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.

Prepare to meet client GIS data needs.

1.1.

Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons.

1.2.

Parameters for data manipulation and analysis are specified according to project specifications.

1.3.

New procedures for manipulating and analysing data to meet project specifications are documented.

2.

Establish GIS data models.

2.1.

Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications.

2.2.

Feasible parameters, equations and assumptions are developed according to project specifications.

2.3.

Models are established to meet project specifications according to organisational requirements.

3.

Manipulate and analyse GIS data.

3.1.

Processes for data manipulation and analysis are determined and used to meet project specifications.

3.2.

Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed.

3.3.

Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications.

3.4.

Data is manipulated and prepared for presentation media, and project is finalised 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 coordinate geographic information system (GIS) data manipulation and analysis to meet client needs for two different projects.

While coordinating the above GIS data manipulation and analysis projects, the person must:

negotiate with clients regarding data format requirements

conduct research to source geographic information

develop parameters, equations and assumptions to meet task requirements

develop procedures and establish models for data analysis that meet established client specifications for data format

analyse data sources to verify data integrity to ensure:

accuracy

completeness

confidence limits

currency

quality

resolution

scale

build up elements of a database

capture geographic information

manipulate and analyse datasets using general query and programming languages, scripts and command lines

use GIS software to manipulate and analyse data for display on a map

comply with organisational and legal requirements for:

client consultation

data ownership, including accessing and using spatial data, including copyright, intellectual property, data privacy and trade practices

comply with organisational requirements for recording data and completing documentation, and using screen-based equipment.

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

data reduction and manipulation techniques

database structures and spatial features of databases

line instructions and programming languages to capture geographic information

methods for creating layers on maps

querying and browsing techniques for obtaining information from databases

types of spatial data formats

organisational and legal requirements for accessing and using spatial data, including copyright, intellectual property, and trade practices

organisational policies and procedures relating to:

accessing, recording and storing spatial data

communicating with clients and end users

completing records and documentation

custodianship of data

using computer systems and software to manipulate GIS 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 one of the following:

client

colleague

end user

manager

spatial data supplier.