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Evidence Guide: CPPSIS4035A - Apply GIS software to problem-solving techniques

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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CPPSIS4035A - Apply GIS software to problem-solving techniques

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

Use GIS software to query spatial data.

  1. Spatial data updates are accessed, read, interpreted and edited to ensure they are in an acceptable format to meet functional requirements.
  2. Entities and attributes are used to display spatial information that will assist in the delivery of spatial information services.
  3. Entity and attribute queries of spatial data are used to generate summary results.
  4. Results from queries are used to present spatial data graphically according to organisational guidelines.
  5. Entity and attribute queries are applied when using univariate statistics to explore the dataset.
  6. Routine spatial data problems or irregularities are solved in the course of the activity or via consultation with relevant personnel.
  7. Keyboard and computer hardware equipment are used to meet functional requirements on speed and accuracy and according to OHS requirements.
Spatial data updates are accessed, read, interpreted and edited to ensure they are in an acceptable format to meet functional requirements.

Completed
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Teacher:
Evidence:

 

 

 

 

 

 

 

Entities and attributes are used to display spatial information that will assist in the delivery of spatial information services.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Entity and attribute queries of spatial data are used to generate summary results.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Results from queries are used to present spatial data graphically according to organisational guidelines.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Entity and attribute queries are applied when using univariate statistics to explore the dataset.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Routine spatial data problems or irregularities are solved in the course of the activity or via consultation with relevant personnel.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Keyboard and computer hardware equipment are used to meet functional requirements on speed and accuracy and according to OHS requirements.

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 CPPSIS4034A Maintain spatial data.

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:

using GIS software

solving problems using GIS software

producing reports based on basic spatial analysis

knowledge of GIS software system.

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.

Required Skills and Knowledge

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

Required skills

communication skills to:

discuss vocational issues effectively with colleagues

impart knowledge and ideas through oral, written and visual means

literacy skills to:

assess and use workplace information

read and record data

research and access routine sources of spatial data

numeracy skills to:

accurately record and collate

record and interpret statistics

undertake basic computations

organisational skills to:

manage files

prioritise activities to meet contractual requirements

spatial skills to:

combine spatial data layers (geoprocessing)

exercise precision and accuracy in all operations

load spatial data into a mapping application and perform entity and attribute queries

archive and retrieve spatial data

manage and manipulate spatial data

manage files

Required knowledge

cartographic design principles

datum and projections

geoprocessing

logging procedures relating to a computer

operation of relevant software packages

organisational policies and guidelines

printing and image formats for map production

security management guidelines

spatial database operation

spatial data storage technology

spatial information systems

technical terminology in relation to reading help files and prompts

univariate statistics and charting

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.

Spatial data may include:

digital

hard copy

image

text

raster

vector.

Functional requirements refer to:

work deliverables.

Entity refers to a single item created on the screen such as:

arc

circle

hatch

line

text.

Attributes are properties associated with an entity and may include:

colour

layer

level

line type

line width

text.

Spatial information is:

virtual data related to the location of objects on the earth.

Spatial information services refer to:

virtual data that is:

analysed

collected

displayed

manipulated

stored

virtual images used for planning and implementing the efficient administration and development of natural and built resources.

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.

Univariate statistics are summary or descriptive statistics for single variables and may include:

arithmetic mean

histograms that illustrate the concepts of normal and other distributions

maximum

median

minimum

mode

range

standard deviation

variance.

Relevant personnel may include:

colleagues

staff or employee representatives

supervisors or line managers

suppliers

users.

Computer hardware equipment may include:

mobile devices such as personal digital assistants or data loggers

multimedia devices

networked systems

personal computers

printers

scanners.

OHS requirements may include:

Australian standards

identification of potential hazards

safety plan

safe use of:

computer equipment

mobile equipment

regulated equipment

screen-based equipment

workstations

Documentation and reporting may include:

audit trails

naming standards

project management templates

report writing styles

version control.

Geospatial techniques may include geoprocessing spatial data such as:

clip

dissolve

intersect

merge

union.

Appropriate software may include:

commercial software application

communication packages and presentation functions

computer-aided design (CAD)

database

GIS

graphic

internet

organisational

presentation applications

remote sensing

surveying.

Spatial overlay techniques may include:

raster, including aerial photography and/or satellite imagery in digital format

vector overlay, geoprocessing and the incorporation of other spatial information.

Spatial project 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

GIS

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.

Validated means reflecting the true state of a test result, including tests for systematic distortions such as:

confounding bias

information/data bias

observational bias

recall bias

selection bias.

Ethical requirements may include:

confidentiality

privacy.

Metadata refers to:

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

availability

conditions of use

coordinate system

currency

spatial data acquisition methodologies

date of acquisition

quality

source

version control.