Unit of competency Outline

Date retreived
22/07/2026 1:09 PM AWST

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Collate and interpret spatial data

Collate and interpret spatial data

Unit of competency
National Code
CPPSIS5040A
State Code
WE795
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
27/11/2012
State Implementation and Classification
Approved Date
27/02/2013
Field of Education
031199 - Geomatic Engineering, N.e.c.
Original Release Date
27/02/2013
Nominal Hours
20
Description
This unit of competency specifies the outcomes required to collate and interpret spatial data to provide the dataset required for project deliverables, often in a supervisory capacity. It requires the ability to apply theoretical spatial concepts to a range of situations in order to identify and interpret the appropriate information, according to client requirements. Functions would be carried out within organisational guidelines.
Notes
Elements and Performance Criteria
1 Access data.
  • 1.1 Spatial datasets are retrieved from relevant data storage.
  • 1.2 Data is manipulated into an appropriate format to meet client specifications.
  • 1.3 Requirements for spatial data and constraints are identified through consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines.
2 Query and interpret data.
  • 2.1 Relevant sources and data are identified and accessed.
  • 2.2 Data is queried and interpreted using appropriate equipment or software package according to client requirements.
  • 2.3 Data is verified for relevance using descriptive and analytical techniques.
  • 2.4 Irregularities are resolved using initiative.
  • 2.5 Results are recorded and documented according to organisational and client requirements.
  • 2.6 OHS requirements are planned for and adhered to.
3 Collate data.
  • 3.1 Spatial and aspatial requirements are collated to meet organisational needs.
  • 3.2 Most appropriate format and database are selected according to organisational requirements.
  • 3.3 Legal and ethical requirements are addressed.
4 Test and validate collated spatial data.
  • 4.1 Tools for testing the validity of the information and data are identified and accessed or developed.
  • 4.2 Links with other functional areas and management systems are identified and facilitated to ensure comprehensive information and data collection.
  • 4.3 Quality and useability of data are ensured according to organisational guidelines.
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 dataset may include:
digital
hard copy
image
text
raster
vector.
Format may include:
electronic information and data management systems (where system refers to computer software).
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 requests
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.
Interpreted according to:
equipment available
software packages
task required.
Descriptive and analytical techniques may include:
statistical tests and methods such as:
broad analytical studies to determine estimates of risk
making comparisons using basic tests of significance
mean, standard deviation, regression analysis and percentage change.
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.
Aspatial refers to:
data without a spatial component.
Organisational needs 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.
Ethical requirements may include:
confidentiality
privacy.
Tools may include:
model of questions with known answers
pilot program
prototype dataset
survey (staff in client organisation).
Validity 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.
Other functional areas and management systems may include:
engineering and maintenance
environmental management
finance and auditing
information, data and records management
human resource, industrial relations and personnel management, including payroll
logistics
purchasing, procuring and contracting
quality management
strategic planning.
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 CPPSIS5037A Maintain complex spatial data systems, and CPPSIS5038A Develop a complex spatial and aspatial database.
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 relevant data by manipulating and analysing it to meet the client’s requirements
applying operational knowledge in a broad range of areas relating to linking datasets and knowledge management
applying organisational skills and prioritising activity
examining suitability of existing arrangements
measuring outcomes against specifications.
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.
Replaces
State Code National Code Title Type
D1520 CPPSIS5010A Collate and interpret spatial data Unit of competency
Replaced By
State Code National Code Title Type
AXF92 CPPSIS5040 Interpret and collate spatial data Unit of competency