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

CPPSIS5036 Mapping and Delivery Guide
Integrate spatial datasets

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency CPPSIS5036 - Integrate spatial datasets
Description
Employability Skills
Learning Outcomes and Application This unit of competency specifies the outcomes required to use technology and software applications to integrate spatial datasets for the purpose of providing spatially referenced information. The unit covers obtaining spatial and attribute data, creating datasets, and linking spatial and attribute data to meet client specifications for spatial data solutions. The unit also covers analysing and compiling metadata sets, assessing geographic coverage, establishing filtering parameters, and checking and validating the accuracy and integrity of data. The unit requires the ability to consult with appropriate persons to define project requirements and report outcomes, and use database querying operations and techniques. 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 or geographic information systems (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 integrating spatial datasets

specifications:

organisational policies, procedures and legislation 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 task and organisational 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: Prepare to integrate datasets.
  • Client specifications are identified and analysed to determine specific needs and required outcomes.
  • Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.
       
Element: Obtain spatial and attribute data.
  • Metadata is used to determine sources of data consistent with project specifications.
  • Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.
  • Geographic coverage is assessed for completeness according to project specifications.
  • Metadata set is compiled based on sourced spatial data.
  • Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.
       
Element: Create resultant spatial datasets.
  • Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.
  • Spatial data is translated into a format that satisfies project specifications.
  • Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.
       
Element: Link spatial and attribute data.
  • Method required for referencing location of attribute data is identified according to organisational requirements.
  • Spatial and attribute data are linked according to client specifications and organisational requirements.
  • Spatial queries are carried out on spatial data to access attribute data according to project specifications.
       
Element: Test and validate spatial datasets.
  • Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.
  • Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.
  • Documentation is completed according to organisational requirements and appropriate persons are notified of project results.
       


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.

Prepare to integrate datasets.

1.1.

Client specifications are identified and analysed to determine specific needs and required outcomes.

1.2.

Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.

2.

Obtain spatial and attribute data.

2.1.

Metadata is used to determine sources of data consistent with project specifications.

2.2.

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

2.3.

Geographic coverage is assessed for completeness according to project specifications.

2.4.

Metadata set is compiled based on sourced spatial data.

2.5.

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

3.

Create resultant spatial datasets.

3.1.

Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

3.2.

Spatial data is translated into a format that satisfies project specifications.

3.3.

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

4.

Link spatial and attribute data.

4.1.

Method required for referencing location of attribute data is identified according to organisational requirements.

4.2.

Spatial and attribute data are linked according to client specifications and organisational requirements.

4.3.

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

5.

Test and validate spatial datasets.

5.1.

Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

5.2.

Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.

5.3.

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

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 integrate spatial datasets for the purpose of providing spatially referenced information for two different projects.

While integrating the above spatial datasets, the person must:

select and use industry-accepted software applications to obtain spatial data, create datasets, and link attribute data

comply with organisational requirements while:

communicating with clients and other appropriate persons

ensuring quality of datasets

recording data and completing documentation

working safely when using screen-based equipment

comply with legal requirements relating to data privacy and information copyright when accessing and using spatial data

devise and implement functional solutions to spatial datasets

exercise precision when editing, processing, comparing, manipulating and archiving spatial data

perform querying techniques to access attribute data and test and validate spatial data

prepare exception reports to identify non-conforming data

reference and link the location of attribute data

translate spatial data into industry-accepted formats

use approved methods for assessing accuracy and integrity of spatial data and resolving errors

use filtering parameters, including attribute range accuracy and geographic location to establish accuracy and redundancy of data.

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

data acquisition methods

database querying techniques and languages

key features of spatial data

legal requirements for accessing and manipulating spatial data, including copyright

methods for comparing and checking different spatial datasets

organisational requirements relating to:

work health and safety

recording data

completing documentation

principles of data acquisition, including photogrammetry, remote sensing, terrestrial survey and hydrography

quality guidelines regarding the validity of spatial data

software applications used to compute spatial datasets

key features of spatial coordinate and reference systems

spatial data formats and structures

spatial database design tools

key characteristics of spatial database operation

spatial dataset integration methods, including role of scale in dataset integration.

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.

Prepare to integrate datasets.

1.1.

Client specifications are identified and analysed to determine specific needs and required outcomes.

1.2.

Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.

2.

Obtain spatial and attribute data.

2.1.

Metadata is used to determine sources of data consistent with project specifications.

2.2.

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

2.3.

Geographic coverage is assessed for completeness according to project specifications.

2.4.

Metadata set is compiled based on sourced spatial data.

2.5.

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

3.

Create resultant spatial datasets.

3.1.

Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

3.2.

Spatial data is translated into a format that satisfies project specifications.

3.3.

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

4.

Link spatial and attribute data.

4.1.

Method required for referencing location of attribute data is identified according to organisational requirements.

4.2.

Spatial and attribute data are linked according to client specifications and organisational requirements.

4.3.

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

5.

Test and validate spatial datasets.

5.1.

Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

5.2.

Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.

5.3.

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

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

staff

manager.

Metadata must include at least four of the following:

availability

conditions of use

coordinate system

currency

custodian

data accuracy

data description

date of acquisition

licence

quality

source

spatial data acquisition methodologies

version control.

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
Client specifications are identified and analysed to determine specific needs and required outcomes. 
Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements. 
Metadata is used to determine sources of data consistent with project specifications. 
Data is obtained and checked for integrity and quality according to project specifications and organisational requirements. 
Geographic coverage is assessed for completeness according to project specifications. 
Metadata set is compiled based on sourced spatial data. 
Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements. 
Filtering parameters are established in line with scientific accuracy, redundancy and project specifications. 
Spatial data is translated into a format that satisfies project specifications. 
Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements. 
Method required for referencing location of attribute data is identified according to organisational requirements. 
Spatial and attribute data are linked according to client specifications and organisational requirements. 
Spatial queries are carried out on spatial data to access attribute data according to project specifications. 
Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements. 
Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements. 
Documentation is completed according to organisational requirements and appropriate persons are notified of project results. 

Forms

Assessment Cover Sheet

CPPSIS5036 - Integrate spatial datasets
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

CPPSIS5036 - Integrate spatial datasets

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: