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Evidence Guide: CPPSIS5036A - Integrate spatial datasets

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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!

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CPPSIS5036A - Integrate spatial datasets

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

Confirm task.

  1. Client specifications are analysed to determine specific needs and required outcomes.
  2. Requirements for spatial data and constraints are identified through further consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines.
Client specifications are analysed to determine specific needs and required outcomes.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Requirements for spatial data and constraints are identified through further consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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 CPPSIS5031A Plan spatial data collection and validation, CPPSIS5032A Capture new spatial data, CPPSIS5035A Obtain and validate spatial data, CPPSIS5037A Maintain complex spatial data systems, CPPSIS5038A Develop a complex spatial and aspatial database, and CPPSIS5059A Determine suitable information sources to create new spatial datasets.

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:

devising and implementing a cost-effective, functional solution to spatial datasets

measuring outcomes against specifications

obtaining spatial and attribute data

testing and validating spatial datasets

knowledge of data acquisition methods.

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 surveying and spatial information services 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.

Required Skills and Knowledge

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

Required skills

ability to translate requirements into design

analytical skills, including systems analysis

communication skills to:

consult effectively with clients and colleagues

impart knowledge and ideas through oral, written and visual means

computer skills to complete business documentation and apply software and hardware

literacy skills to:

assess and use workplace information

read and write technical reports

research and evaluate in order to assess sources of spatial data

numeracy skills to:

analyse errors

conduct image analysis

perform mental calculations

interpret and analyse statistics

record with accuracy and precision

undertake computations

organisational skills to:

coordinate technical and human resource inputs to research activities

manage information

prioritise activities to meet contractual requirements

spatial skills to:

exercise precision and accuracy in relation to spatial and aspatial data integration

archive and retrieve spatial data

manage and manipulate spatial data

manage files

Required knowledge

classification systems, processes and products

coordinating reference systems

high-level computer knowledge

industry standards and organisational policies and guidelines relating to spatial datasets

key characteristics of spatial and aspatial data

key features of spatial data storage technology

precision and accuracy in relation to spatial information

principles of data acquisition (e.g. photogrammetry, remote sensing, terrestrial survey and hydrography)

quality guidelines regarding the validity of spatial data

reference systems and their relationship to each other

relevant spatial database design tools

security management guidelines

spatial database operation

spatial data handling

spatial data management practices

spatial dataset integration, including the role of scale in dataset integration

spatial data structure requirements

Range Statement

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.

Client specifications refer to description of outputs and may be contained in:

contracts

memos

tender briefs

verbal instructions

written instructions.

Constraints may include:

coverage

datum

environmental factors

industry requirements

legal and statutory

financial

resource availability

time.

Client may include:

customers with routine or special request

external to organisation

internal to organisation

regular and new customers, including:

business enterprises

government agencies

members of the public

suppliers.

Relevant personnel may include:

colleagues

staff or employee representatives

supervisors or line managers

suppliers

users.

Organisational guidelines may include:

code of ethics

company policy

legislation relevant to the work or service function

manuals

OHS policies and procedures

personnel practices and guidelines outlining work roles and responsibilities.

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.

Exception reports may include:

information on non-conforming items that require attention by other functions.

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 personal protective clothing

use of safety equipment and signage.

Filtering parameters may include:

attribute range accuracy

geographic location.

Aspatial data refers to:

data without a spatial component.

Spatial datasets may include:

digital

hard copy

image

propriety standards

text or vector.

Organisational spatial requirements may include:

administration (e.g. postcodes, suburbs, and federal and state electoral counties)

analysis of environmental, land and geographic information

asset management

cartographic services

civil engineering

digital imagery

electricity

emergency services management

environmental datasets

geographic information systems

hydrography

integrated services – environmental, land and geographic related datasets

land ownership tenure system

local government

location-based services

global positioning

mapping facilities

photogrammetry

remote sensing

site analysis

survey marks

sewerage

telecommunications

terrestrial survey

town planning

utility services such as water

water catchment.

Attributes are properties associated with an entity and may include:

colour

layer

level

line type and width

text.

Test queries refer to:

model set of questions with known answers.

Relevant documentation may include:

electronic or paper-based correspondence with client

final report

records of conversation

organisational work activity sheets.