Risk-based acceptance framework for Cadastral Survey Datasets (CSDs)

Update January 2012

In 2012, LINZ will be undertaking the first complete review of surveyor profiles since their introduction as part of the risk-based acceptance process in 2008.

This review will only be looking at the surveyor profile component of the risk assessment.

See January's Landwrap article for further information.

Background

LINZ developed and implemented a new risk-based acceptance framework in 2008.

This framework underpins a cadastral survey validation process that supports a wider initiative based on a first time compliance model that aligns with our goals of Optimal Regulation – 'As little as possible, as much as necessary' and e-Delivery excellence.

Current assurance environment

The survey system as a whole functions within a regulatory controlled environment that provides assurance of compliance at several levels. Within the end-to-end process, there is duplication of compliance effort by both surveyors and LINZ in assessing the quality of every cadastral survey dataset (CSD) and determining compliance before integration into the cadastre. Therefore, given this duplication, past levels of LINZ validation effort have not accurately and appropriately reflected the risks associated with each lodged dataset. Nor has the validation process always consistently reflected the gains and advantages available from a world class automated e-survey processing system, especially with 100% e-lodgement.

Objective of the framework

The objective is for LINZ to achieve consistency, effectiveness and greater efficiency by better utilising the automated Landonline tools when processing CSDs. The new process will make better use of resources by aligning LINZ's validation analysis to the risk profile of each dataset.

Risk-based acceptance framework

The framework is based on an assessment matrix comprising two primary elements – the surveyor's profile and the dataset's complexity. Together, these two profiles define the dataset risk profile.

The desired LINZ validation effort, to apply to each dataset being processed, is codified against this dataset risk profile. The following diagram and profile descriptions summarise the framework.

 Dataset Complexity Profile
Surveyor profile.  LowMedHigh
1Low Risk
CSD Profile
Low Risk
CSD Profile
Medium Risk
CSD Profile
2Low Risk
CSD Profile
Medium Risk
CSD Profile
High Risk
CSD Profile
3Medium Risk
CSD Profile
High Risk
CSD Profile
High Risk
CSD Profile
Surveyor Profile
The Surveyor Profile provides an objective assessment of the likelihood that the surveyor's CSD will be first time compliant. This is a LINZ measure based on an historical analysis of the surveyor's previous performance including requisitions and reviews. Surveyor Profiles will be regularly reviewed.
Dataset Complexity Profile
The Dataset Complexity Profile indicates the surveyor's assessment of the risks attributed to their CSD. It reflects the level of manual analysis, in addition to the automated business rule reports, that is required to provide confidence to the surveyor that their dataset complies with the Surveyor-General rules and specific statutory requirements.

Parameters used in calculating the Surveyor Profile

The following parameters were included in the requisition analysis:
  • Number of CSDs submitted: <10, >24, other
  • Number of both significant and critical requisitions per CSD: >1, <0.15, other
  • Number of critical requisitions per CSD: >0.04, = 0, other
The requisition analysis together with results for recent audits and reviews, provided the surveyor profiles in the range 1 - 3 with 1 indicating the most likelihood of first time compliance.

Criteria to be used in calculating the Dataset Complexity Profile

The following is the current criteria to guide surveyors in determining the complexity profile of each dataset lodged. The Dataset Profile Lodgement form can be downloaded here

ProfileDataset Complexity Criteria – to determine Dataset Complexity Profile
LowParent parcels have been previously captured into Landonline and this survey definition confirms no conflict with Landonline data (ie no material changes to existing title dimensions)
More than 50% of the marks have SDC status (approximate) view Landonline spatial layer Marks NZGD 2000-SDC
Datasets with no new primary parcel boundaries
SO Re-instatement CSD includes Monumentation CSD (High if title is limited as to parcels)
SO Survey Information
Flats/Cross Lease (incl. permanent structure boundaries)
MediumLess than 50% of marks have SDC status (approximate) view Landonline spatial layer Marks NZGD 2000-SDC)
Datasets with new primary parcel boundaries but no new field work
Datasets with non-primary Lease parcels
Complex easements  
Standard unit developments 
Dataset subject to a specific Surveyor-General’s Ruling
Adopted information not matching source includes bearing adjustments
Other – surveyor to describe
HighParent parcel title dimensions (or other conflicts) materially different from cadastral record
Staged or Layered Unit Developments, or Unit Redevelopments
Strata parcels
Water & irregular boundaries
Parcels with Class D Accepted boundaries
Land being brought under the Land Transfer Act
Crown subdivision
Maori land surveys
Multiple Pt lots with same lot number
Titles limited as to parcels or interim titles
Parent parcel includes Diagrams on Transfer
Unexpected discrepancies when defining a boundary by survey
Known areas of ground movement (eg Edgecumbe, Moeraki, Bisley Ave Nelson & Canterbury)
Very old surveys (pre 1930) supporting guaranteed titles – where the record is poor
Dataset requires additional Surveyor-General statutory approval
Other – surveyor to describe

Quality assurance of the new framework and validation process

LINZ will analyse a percentage of validated datasets to ensure the new acceptance process is robust and the surveyor and dataset complexity profiles are correct. The results of this analysis will also provide an opportunity for LINZ to routinely assess and refine the framework and validation process.