Unit of competency details

Elements describe the essential outcomes of a unit of competency.

Performance criteria describe the required performance needed to demonstrate achievement of the element. Where bold italicised  text is used, further information is detailed in the required skills and knowledge and/or the range statement. Assessment of performance is to be consistent with the evidence guide.

1

Develop GIS functionality in intranets and the internet.

1.1

Analysis is conducted to determine a user profile and customer expectations for web-based GIS application.

1.2

Appropriate GIS functionality  is determined according to organisational requirements  and project specifications .

1.3

Strategies for the development of GIS functionality within client-server networks are determined.

1.4

Suitable metadata , digital image processing techniques  and digital image data formats  are incorporated in the overall strategies.

1.5

OHS  issues are considered at all times.

2

Develop strategies for providing GIS functionality in the web.

2.1

Strategies  for designing a user interface web-based GIS application are developed.

2.2

Rationale behind these strategies is incorporated.

3

Select a strategy for developing a web-based GIS application.

3.1

From the options presented, a strategy for developing a web-based GIS application is selected.

3.2

Rationale for the use of the strategy selected is provided on the basis of project purpose, business and customer expectations, and cost-effectiveness.

3.3

Appropriate web design detail  is presented to defend the selection of strategy.

3.4

Availability  of suitable data  is verified with the potential suppliers.

3.5

Constraints  on use of spatial data are assessed against specification.

3.6

Potential of the web-based GIS application is maximised by specification of possible software tools and links.

This section describes the essential skills and knowledge and their level, required for this unit.

Required skills 

• communication skills to:

• consult effectively with clients and colleagues
• impart knowledge and ideas through graphic, oral, written and visual means
• write technical reports

• computer skills to develop business documentation
• literacy skills to:

• assess and use workplace information
• conduct web-based searches and use digital techniques
• read and write key performance reports, including technical reports
• research and evaluate to source SIS educational information

• numeracy skills to:

• accurately record and collate
• analyse errors
• conduct image analysis
• estimate costs
• interpret and analyse statistics
• perform mental calculations
• undertake complex computations

• organisational skills to plan and prioritise activities to meet contractual requirements
• project management skills, including ability to meet deadlines
• research and analytical skills to develop mapping applications
• spatial skills to:

• exercise precision and accuracy in relation to mapping applications
• archive and retrieve spatial data
• manage and manipulate spatial data
• manage files
• solve complex problems relating to height, depth, breadth, dimension, direction and position in actual operational activity and virtual representation
• train others in spatial precision techniques

Required knowledge 

• budgetary mechanisms and restraints
• computer platforms and software for image processing systems
• data quality integrity
• existing spatial datasets and dataset sources
• digital image processing techniques
• image enhancement, manipulation and merger techniques
• information management
• metadata
• OHS policies
• organisational policies and guidelines
• relevant legislative, statutory and industry requirements and standards
• resource management processes
• risk analysis principles
• spatial data formats, handling and structure
• spatial referencing systems

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, the range statement and the Assessment Guidelines for this Training Package.

Overview of assessment 

This unit of competency could be assessed on its own or in combination with other units relevant to the job function, for example CPPSIS5059A Determine suitable information sources to create new spatial datasets, CPPSIS6024A Design a spatial project plan, and CPPSIS6037A Conduct advanced remote sensing analysis.

Critical aspects for assessment and evidence required to demonstrate competency in this unit 

A person who demonstrates competency in this unit must be able to provide evidence of:

• applying remote sensing technology
• communicating graphically
• understanding copyright and ownership constraints
• determining data requirements
• evaluating suitability of available data against project specifications
• identifying sources of data
• knowledge of image processing systems and spatial reference systems.

Specific resources for assessment 

Resource implications for assessment include access to:

• assessment instruments, including personal planner and assessment record book
• assignment instructions, work plans and schedules, policy documents and duty statements
• registered training provider of assessment services
• relevant guidelines, regulations and codes of practice
• suitable venue and equipment.

Access must be provided to appropriate learning and assessment support when required.

Where applicable, physical resources should include equipment modified for people with disabilities.

Context of assessment 

Holistic: based on the performance criteria, evidence guide, range statement, and required skills and knowledge.

Method of assessment 

Demonstrated over a period of time and observed by the assessor (or assessment team working together to conduct the assessment).

Demonstrated competency in a range of situations, that may include customer/workplace interruptions and involvement in related activities normally experienced in the workplace.

Obtained by observing activities in the field and reviewing induction information. If this is not practicable, observation in realistic simulated environments may be substituted.

Guidance information for assessment 

Assessment requires that the clients’ objectives and industry expectations are met. If the clients’ objectives are narrowly defined or not representative of industry needs, it may be necessary to refer to portfolio case studies of a variety of SIS requirements to assess competency.

Oral questioning or written assessment and hypothetical situations (scenarios) may be used to assess underpinning knowledge (in assessment situations where the candidate is offered a preference between oral questioning or written assessment, questions are to be identical).

Supplementary evidence may be obtained from relevant authenticated correspondence from existing supervisors, team leaders or specialist training staff.

All practical demonstration must adhere to the safety and environmental regulations relevant to each State or Territory.

Where assessment is for the purpose of recognition (recognition of current competencies [RCC] or recognition of prior learning [RPL]), the evidence provided will need to be authenticated and show that it represents competency demonstrated over a period of time.

In all cases where practical assessment is used it will be combined with targeted questioning to assess the underpinning knowledge.

Assessment processes will be appropriate to the language and literacy levels of the candidate and any cultural issues that may affect responses to the questions, and will reflect the requirements of the competency and the work being performed.

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised  wording in the performance criteria is detailed below. Add any essential operating conditions that may be present with training and assessment depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts.

GIS functionality  may include:

• data merging and integration
• environmental modelling
• supervised and unsupervised classification.

Organisational requirements  may include:

• Australian Computer Society code of ethics
• company policy
• legislation relevant to the work or service function
• manuals
• OHS policy and procedures
• personnel practices and guidelines outlining work roles, responsibilities and delegations.

Project specifications  refer to:

• detailed technical descriptions of the spatial data and its requirements.

Metadata  may include:

• summarised information about a spatial dataset that describes the characteristics of the dataset, including:

• availability
• conditions of use
• coordinate system
• currency
• date of acquisition
• quality
• source
• spatial data acquisition methodologies
• version control.

Digital image processing techniques  may include:

• data merging and GIS integration
• environmental modelling
• image enhancement, including:

• contrast
• multi-image manipulation
• spatial manipulation

• image rectification, including:

• geometric and digital image correction
• noise removal.

Digital image data formats  may include:

• band interleaved by line (BIL)
• band interleaved by pixel (BIP)
• band sequential (BSQ)
• run length encoding (RLE).

OHS  may include:

• Australian standards
• development of site safety plan
• identification of potential hazards
• inspection of work sites
• training staff in OHS requirements
• use of equipment and signage.

Strategies  may be presented in the following ways:

• brainstorming session
• discussion
• presentation
• written report.

Web design detail  may include:

• appropriate information hierarchy
• clear navigation
• design documentation
• frequently asked questions
• logical order
• site image (appropriate to customer requirements)
• site map
• site search engine.

Availability  includes:

• assessment of whether the spatial data can be obtained and used for client requirements.

Suitable data  may include:

• assessment of whether the spatial data will meet the specification in regard to:

• accuracy
• completeness
• coverage
• density
• logical consistency.

Constraints  may include:

• administrative
• copyright
• financial
• legal and legislative
• technical limitations.