Use Landonline’s pre-validation process to check that your cadastral survey dataset (CSD) complies with many of the Cadastral Survey Rules 2021 or the Rules for Cadastral Survey 2010.
Avoid time-consuming and costly requisitions by using the Landonline pre-validation process. The process uses the same automated business rules that we use when processing e-surveys for approval.
Pre-validation tests an e-survey in two ways:
- Providing an internal integrity assessment on the e-survey
- Identifying potential inconsistencies between the e-survey and Landonline data.
Once pre-validation is complete, you’ll receive the results in a report. The report outlines the rules that have identified potential issues, and their level of severity, along with the rules that have run without conflict.
We’ve provided a step-by-step explanation of the pre-validation process including the steps to pre-validating by batch in the e-survey user guide:
How pre-validation saves you time and expense
The pre-validation report is a valuable quality assessment tool that helps you to examine your dataset before you submit it for approval. The report details potential inconsistencies in the survey, which you can then correct. It reports conflict with Landonline, which can be assessed for validity and corrected if need be.
You’ll gain the greatest benefit from the process by reviewing the entire report – not just the rule failures – and actioning all identified issues before submitting your survey.
As well as saving you time and expense, the pre-validation report also helps you meet the requirements of the Standard for lodgement of cadastral survey datasets LINZS70000, which came into effect on 21 October 2013. The Standard requires your survey report to include an assessment of the actions you took to address:
- C-rule conflicts and warning messages, and
- all adjustment report test failures and warning messages.
Understanding the Pre-validation Report
We’ve prepared a summarised explanation of the items in the Landonline Pre-validation Report Explanation document below. This document:
- provides definitions of report item categories
- explains the structure of the report
- describes the rules
- describes rule failure messages and their severity and the typical actions you can take to rectify the failure.
The Internal Consistency Report
This test is an evaluation of the internal consistency of all survey marks and vectors supplied by you with the survey dataset (including any adopted boundaries or observations). This is equivalent to testing traverse and parcel closes. It tests whether points and vectors meet the accuracy standards prescribed by the Cadastral Survey Rules 2021 or the Rules for Cadastral Survey 2010.
The Network Adjustment (Partial SDC) Report
In this test, the underlying nodes that have SDC coordinates are held fixed. The compatibility of the new survey data and the SDC coordinates is then tested. A failure in this adjustment indicates that you need to re-evaluate the underlying survey data and coordinates, particularly if the new dataset has passed the internal consistency adjustment. A pass in this adjustment will mean that the resulting coordinates have the potential to become SDC.
The Standard Error Unit Weight (SEUW) is only a guide to the strength of the survey network. You need to consider the SEUW in relation to the complexity of the dataset and the accuracy of the underlying Landonline data. A value of <1 is an indication of a strong survey.
For information about the accuracy-related business rule tests that are run as part of the CSD pre-validation process, see Accuracy Rule Tests run during Pre-validation of Cadastral Survey Datasets below.
A detailed explanation about the adjustment reports is provided in:
While the Accuracy Rule Tests run during Pre-validation of CSDs document was introduced as a reference document in 2010, the majority of the accuracy-related tests are still applicable in the pre-validation report run under CSR 2021. Some terminology in the pre-validation report has been changed to reflect the CSR 2021:
- Observation misclose (replaces residual)
- Vector relative accuracy (replaces relative accuracy)