Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

CPPSIS5040 Mapping and Delivery Guide
Interpret and collate spatial data

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency CPPSIS5040 - Interpret and collate spatial data
Description
Employability Skills
Learning Outcomes and Application This unit of competency specifies the outcomes required to interpret and collate spatial data to meet project deliverables and client requirements. The unit covers accessing, querying and interpreting spatial data from various sources to test and determine its relevance and compatibility for meeting project requirements. It also covers collating spatial data and facilitating links with other functional areas within the organisation as part of the broader knowledge management system. The unit requires the ability to use various technologies and software applications, including geographic information system (GIS) software to access, manipulate, archive, retrieve and validate spatial data. It also requires the ability to complete records and documentation.The unit supports those who work in a lead role in a surveying or spatial information services team in areas such as surveying, cartography, town planning, mapping and GIS.No licensing, legislative, regulatory, or certification requirements apply to this unit of competency at the time of endorsement.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.

The following must be present and available to learners during assessment activities:

equipment:

computer with software appropriate for spatial data management and electronic communication

printer

specifications:

organisational policies and procedures relating to:

work health and safety

data privacy and information copyright

physical conditions:

access to equipped work station

relationships with team members and supervisor:

working in a team.

Timeframe:

as specified by client and project requirements.

Assessor requirements

As a minimum, assessors must satisfy the assessor requirements in the Standards for Registered Training Organisations (RTOs) current at the time of assessment.
Prerequisites/co-requisites
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities 		Slides
PPT 		Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Access spatial data.
  • Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.
  • Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.
  • Data is manipulated into appropriate format to meet project requirements.
       
Element: Query and interpret spatial data.
  • Data is queried and interpreted using appropriate equipment and software application according to project requirements.
  • Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.
  • Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.
       
Element: Collate spatial data.
  • Spatial data is collated according to organisational requirements.
  • Most appropriate format and database for spatial data are selected according to organisational requirements.
       
Element: Validate spatial data.
  • Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.
  • Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.
  • Spatial data is archived and records and documentation are completed according to organisational requirements.
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.

1.

Access spatial data.

1.1.

Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.

1.2.

Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.

1.3.

Data is manipulated into appropriate format to meet project requirements.

2.

Query and interpret spatial data.

2.1.

Data is queried and interpreted using appropriate equipment and software application according to project requirements.

2.2.

Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.

2.3.

Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.

3.

Collate spatial data.

3.1.

Spatial data is collated according to organisational requirements.

3.2.

Most appropriate format and database for spatial data are selected according to organisational requirements.

4.

Validate spatial data.

4.1.

Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.

4.2.

Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.

4.3.

Spatial data is archived and records and documentation are completed according to organisational requirements.

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also interpret and collate spatial data that meets client requirements for two different projects.

While interpreting and collating the above spatial data, the person must:

establish project and client requirements for new spatial data

acquire spatial data from a range of industry-accepted sources

comply with organisational requirements for:

communicating with clients and spatial data providers

completing documentation

facilitating information and knowledge management processes

working safely when using screen-based equipment

comply with legal requirements relating to client service provision, and accessing and managing spatial data

exercise precision when retrieving, managing, manipulating and archiving spatial data

manipulate and analyse geographic information system (GIS) data using GIS software

query and interpret spatial data using databases

use industry-accepted methods for assessing validity and integrity of spatial data and resolving errors

use one of the following statistical tests and methods to verify relevance of data:

broad analytical studies to determine estimates of risk

making comparisons using basic tests of significance

mean, standard deviation, regression analysis and percentage change.

A person demonstrating competency in this unit must demonstrate knowledge of:

industry-accepted sources of spatial data, including photogrammetry, remote sensing, terrestrial survey and hydrography

key features of coordinate reference systems

GIS software, including ArcInfo, GenaMap and MapInfo

industry-accepted standards and methods for assessing, verifying and validating spatial datasets and dataset sources

legal requirements for accessing, storing, retrieving and archiving digital and hard copy spatial data, including data privacy and information copyright

line instructions and programming for geographical information systems data

organisational requirements relating to:

work health and safety

client service

information and knowledge management

completing documentation

purpose and use of metadata, including:

availability

conditions of use

coordinate system

currency

custodian

data accuracy

data description

date of acquisition

licence

quality

source

spatial data acquisition methodologies

version control

types of spatial data storage technologies

key features of spatial reference systems

statistical tests and methods used to verify relevance of spatial data

techniques for manipulating datasets using:

command lines

general query language, such as structured query language (SQL)

programming language

scripts

techniques for operating, querying and browsing spatial databases.

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.

1.

Access spatial data.

1.1.

Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons.

1.2.

Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements.

1.3.

Data is manipulated into appropriate format to meet project requirements.

2.

Query and interpret spatial data.

2.1.

Data is queried and interpreted using appropriate equipment and software application according to project requirements.

2.2.

Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements.

2.3.

Irregularities are identified and resolved, and results recorded and documented according to organisational requirements.

3.

Collate spatial data.

3.1.

Spatial data is collated according to organisational requirements.

3.2.

Most appropriate format and database for spatial data are selected according to organisational requirements.

4.

Validate spatial data.

4.1.

Tools for testing validity of information and data are identified, accessed and used according to organisational requirements.

4.2.

Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements.

4.3.

Spatial data is archived and records and documentation are completed according to organisational requirements.

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.

Appropriate persons must include at least two of the following:

client

end user

manager

qualified surveyor

spatial data provider

supplier.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons. 
Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements. 
Data is manipulated into appropriate format to meet project requirements. 
Data is queried and interpreted using appropriate equipment and software application according to project requirements. 
Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements. 
Irregularities are identified and resolved, and results recorded and documented according to organisational requirements. 
Spatial data is collated according to organisational requirements. 
Most appropriate format and database for spatial data are selected according to organisational requirements. 
Tools for testing validity of information and data are identified, accessed and used according to organisational requirements. 
Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements. 
Spatial data is archived and records and documentation are completed according to organisational requirements. 

Forms

Assessment Cover Sheet

CPPSIS5040 - Interpret and collate spatial data
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:

Assessment Record Sheet

CPPSIS5040 - Interpret and collate spatial data

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: