1

Develop GIS functionality in intranets and the internet.

1.1

Analysis is conducted to determine a user profile and customer expectations for webbased GIS application.

1.2

Appropriate GIS functionality is determined according to organisational requirementsand 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 webbased 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 costeffectiveness.

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 datamay 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.