Title: Cadastral Data Modelling
 1Cadastral Data Modelling
- Mohsen Kalantari 
 - Land Administration - 2008
 
  2Lecture Overview
- What is data modelling? 
 - Importance of data modelling 
 - Data modelling for data capture 
 - Isolated vs Coordinated (Integrated) Surveys 
 - Data modelling for database design 
 - Digital Cadastral Databases (DCDBs) 
 - Data modelling for cataloging purposes 
 - What is recorded in a DCDB? 
 - Data modelling for exchange of DCDBs 
 - Exchange language for maintenance of the DCDB 
 - Victorian DCDB 
 - Other DCDB examples 
 - Current core cadastral data model 
 - A new cadastral data model
 
  3What is data modelling?
- The database is specified by a data model 
describing what sort of data will be held, and 
how it will be organized.  
Land Parcel Property
Rights
Person 
 4What is data modelling?
- Data modelling is a Design activity like 
architecture. Do not expect to find a single 
correct answer.  - The requirement of data modelling process are 
flexible enough to accommodate a variety of 
different solutions, try to be Creative, then you 
will always have Choices.  - Data modelling is NOT data analysis, the 
difference is like prescription versus 
description.  
  5Why is the data model so Important? 
- A small change to the data model may have a major 
impact on the system   - Example Spatial and non-spatial identifiers 
 - The program design heavily depends on data 
modelling   - Example Network analysis needs topology 
 - A well designed data model can make programming 
simpler and cheaper  - Example Automatic adjustment of parcel 
boundaries facilitates calculation of a parcel 
area  - Poor data organization is often expensive to fix 
 - Automatic accuracy check 
 - A very powerful tool for expressing and 
communicating business requirements. It can take 
us more directly to the heart of the business 
requirements. 
  6Data Modelling Approaches
- Function Driven 
 - Focuses on function specification 
 - Example  e-conveyancing , digital signature, 
financial settlement  - Data Driven 
 - Emphases on developing data model before detailed 
function  - Example digital cadastral database 
 - Prototyping 
 - Cut and try approach dont waste the time build 
, show, modify, show it again  
  7Data Modelling
- The most common alternative approaches to data 
modelling are the  - entity relationship (E-R) and 
 - the object oriented approach . 
 
  8Entity-Relationship
- The E-R data model views the real world as a set 
of basic entities and relationships among these 
objects.  - An entity is an object that exists and is 
distinguishable from other objects and a 
relationship is an association between several 
entities.  
Area
Land Parcel
Belongs
Owner
ID 
 9Object Oriented 
- A core object-oriented data model consists of 
object and object identifier, object attributes 
and methods and classes.  - In the object oriented approach any real world 
entity is uniformly modelled as an object (eg. 
land parcel), every object has a state (eg. 
rights associated) and behaviour (eg. area).  - Objects are then organised through classes as a 
means of grouping all the objects which share the 
same set of attributes and methods (eg. building 
belongs to the property class).  
  10Object Oriented
Owner Name 
Property Value Use 
Land Parcel Rights in Land Area
Building Type 
 11Role of Cadastral Data Model 
 12Data modelling and Data Capture
- Isolated Survey Approach 
 - Isolated parcel surveys, connected but not fully 
integrated to neighboring parcels  - Graphical Accuracy only 
 - Usually a mix of survey accuracy to map accuracy 
as a result of digitisation of original base maps  - Most common form of cadastre across Australian 
States and Territories (with exception ACT) 
  13Data modelling and Data Capture
- Isolated survey data model
 
  14Data modelling and Data Capture
- Coordinated Survey Approach 
 - Integrated parcel surveys support a coordinated 
cadastre  - Survey accuracy, where a parcel survey 
incorporates surrounding parcels and are fully 
tied into each other  - a Survey Accurate DCDB is based on coordinates 
determined by ground surveys which are used to 
define, describe and re-define parcel boundaries. 
For all practical purposes, the coordinates in 
this DCDB are the true coordinates  result is a 
fully coordinated survey system  
  15Data modelling and Data Capture
Coordinated survey data model 
 16Graphical vs. Survey Accurate Cadastre
- Level of accuracy is usually survey accuracy 
 - Isolated Survey Approach leads to a non-survey 
accurate DCDB  - Coordinated Survey Approach leads to a survey 
accurate DCDB which in turn supports a 
coordinated cadastre  - What are the Advantages and Disadvantages of 
non-survey accurate DCDB?  - What are the Advantages and Disadvantages of a 
survey accurate DCDB?  -  
 
  17Graphical vs. Survey Accurate Cadastre
- Non-Survey Accurate (Graphical) DCDB 
 - Common approach in Australia 
 - Less  required to setup/maintain DCDB 
 - More time to complete surveys (less connection to 
neighbouring parcels) but need to re-establish 
parcel nearly every time and connect to geodetic 
control  - Inappropriate use of non-accurate cadastral 
dataset  - Survey Accurate DCDB 
 - More  required to setup/maintain DCDB (up to 
Billions)  - More time to perform initial survey, however very 
little work required to re-do same parcel  - Value-added potential of accurate cadastral 
dataset  
  18Data Modelling and Cadastral Databases
- Representation of the geometric component of a 
cadastre in electronic format is termed Digital 
Cadastral Database (DCDB)  
  19Data Modelling and Cadastral Databases
The physical designer sometimes is not able to 
meet performance requirements, so logical 
database design is not direct equivalent of the 
data model 
Selected Relations between Data
Logical Database Design
Program
data
Data Model
Physical Database Design 
 20Data Modelling and Cadastral Databases
- The performance of the information system is 
primarily the responsibility of physical 
designer  - But the alternative to improve the performance 
might be to modify the data model  
  21Data Modelling and Data Catalogue
- Consists 
 - Parcel boundaries 
 - Easements 
 - Other Additional Contents 
 - Property boundaries 
 - Building footprints 
 - Street addresses 
 - Administrative boundaries 
 - Valuation 
 - Other land use features (garden, roads, railway 
lines, forest, etc.)  
  22Data modelling and Data Exchange
Data model in UML
Data model in exchange format
Convert
Switzerland cadastral data model - Interlis 
 23Data modelling and Data Exchange
Step 3 Validation and locking. Step 4 
 Making new state active after decision
Step 1 Selecting parcels
Export to XML
Step 2 Import from XML
software
Modify 
 24Updating of DCDBs
- Subdivisions are charted in LTO's (Land Registry) 
on an index map  -  Update of the DCDB refers to those processes 
that ensure that all new and existing legal 
subdivisions are recorded, ie. the cadastral map 
or DCDB is up-to-date  -  Specifically this should include 
 - Recording all new legal subdivisions 
 - Ensuring map completeness
 
  25Upgrading of DCDBs
- Upgrade activities (an improvement, not 
maintenance)  - increase accuracy 
 - inclusion of survey measurements 
 - alignment of cadastral features with topographic 
features  - changes in data model 
 - generation of topological structures 
 - inclusion of historical layer 
 - unique identifiers for spatial entities
 
  26Historical Perspective of Australian 
State/Territory DCDBs
- Digistised from best available paper maps 
 - Urban, Rural and Metro 
 - varying accuracy 
 - /- 0.5m - 2m in Urban  Metro areas 
 - /- 20m or more in Rural areas 
 - sourced from different bodies 
 - different data emphasis 
 
  27Observations of Australian State/Territory Data 
Model
- Australia wide cadastral coverage, varying 
accuracy  - Data models are mostly based on graphical 
cadastre  - Data models High GIS focus 
 - Individual State and Territory solutions 
 - Meta data 
 - Incremental updates 
 - Accuracy upgrade (graphical to survey)
 
  28Victorian DCDB  VicMap Property
- Combination of digitised paper maps and datasets 
held by Water authorities (MMBW)  - Vicmap Property, previously known as the State 
Digital Cadastral Map Base  - Isolated Survey system, non-survey accurate DCDB 
 - Higher accuracy in Urban and Metro regions, lower 
accuracy in regional areas  - Very good cadastral coverage, over 90 of 
property recorded  - Geodetic datum AMG  GDA94, not yet fully adopted 
 
  29Current cadastral data models
- Land parcels constitute the basic building block 
in land administration systems. Parcels were 
employed to identify the areas related to 
interests in land.  - Besides that, land parcels have been used as 
indices for organising land information in 
various land administration subsystems or within 
other related agencies.  
  30Current cadastral data models
- Interests recorded in land administration systems 
are traditionally those associated with private 
ownership.  - The most important Interest in land is the 
ownership of land.  - Ownership is usually recorded along with 
restrictions, most commonly caveats, mortgages 
and rights of way.  
  31Current cadastral data models
- Land administration systems have so far focused 
on private interests rather than public 
interests.  - Although, some government agencies are 
responsible for management of public lands, their 
systems are usually not as mature as those used 
for managing records of private land, and are 
usually separately maintained.  
  32Current cadastral data models 
 33The issues associated with the current model
- How new interests and RRRs might be incorporated 
into a cadastral fabric?  - How to facilitate interoperability ? 
 
  34The issues associated with the current model
- Spatial dimension of the interests does not 
necessarily fit to a land parcel  - A biota right exists as an interest that often 
appears to be attached to land parcels , but the 
commercial exploitation of the opportunities 
arising from biota may not neatly align to 
individual land parcels.  - A water catchments right. 
 - A noise restriction.
 
(Bennett et al., 2005)  
 35The issues associated with the current model
- Current cadastral data models are not really 
spatially-enabled and accordingly do not support 
interoperability  - Grantor/Grantee (Deed based) 
 - Title numbers (Title based system) 
 - Block-and-plot numbering system 
 - Street address 
 - Spatial identifiers?????????????? 
 
  36An alternative model - principle
- Land is not a legal entity until an interest is 
attached to it  - Land parcel is registered when an ownership is 
attached it.  - Right of way is registered when there is a 
restriction in a specific dimension of a land 
parcel. 
  37An alternative model - principle
- The very close relationship between each interest 
and its spatial dimension in the real world 
should be also recognised in information systems. 
  - They should be maintained together as a unique 
entity in a cadastral information system.  - This unique entity must define both the interest 
and its spatial dimension.  
  38An alternative model  core model
Incorporating Interests
Integrating Interests and their spatial dimensions 
 39An alternative model  conceptual model 
 40An alternative model- challenges
- The conversion of RRRs into their respective 
spatial dimensions  - The relationships among legal property object 
layers.  
  41Topological relationship
- The topological relationship can quickly find 
neighbouring legal property objects.  - Object sharing makes maintenance for consistency 
and updates easier.  
  42Spatial relationship
- To determine whether one legal property object 
touches, coincides with, overlaps, is inside or 
is out side of another legal property object  - One might want to determine which car space 
footprints fall inside a particular land parcel.  
  43General relationship
- The general relationship is not physically 
explicit for example, the relationship between 
the owner(s) with an apartment  - For instance the same position may involve 
complex relationships among persons, each 
interested in a different way, for example as a 
car space, a water catchment, or as owner of the 
parcel.  
  44Vertical relationship
- Vertical integrity is the ability to relate legal 
property objects from one data set with legal 
property objects from another.  - For example, automatic realignment of the gas 
line through its topological link to the property 
boundary is possible.  
  45New Cadastral data model 
 46Any Question