What is a Cadastre?

What is a Cadastre?

Cadastres are used extensively in real estate and beyond. We break down what they are, how they’re stored, used and maintained in Australia.

What is a cadastre?

A cadastre is a comprehensive register or database that captures detailed information about real estate or land within a specific jurisdiction; with each cadastral record defining its respective boundary, as determined by cadastral surveying. Important attributes such as property location, characteristics, and value are also included in a cadastre.

Essentially, it serves as a vital legal and administrative tool for managing and regulating land ownership and usage, while also used for collecting property taxes, assessing land values, and resolving any disputes related to properties. It typically contains property boundaries, ownership details, and physical descriptions, such as size, shape, and topography. It may even encompass additional information pertaining to land use, zoning regulations, building permits, and environmental regulations.

Which file types are typically used to store a cadastre?

These file types are commonly used to store a cadastre:

  • Shape file (.shp)
  • GDB (.gdb)
  • Geojson (.geojson)

File sizes of cadastre files can become quite large, depending on the extent of the coverage.

For example, the cadastre for New South Wales (NSW) in Australia is approximately 1.4 GB when compressed. Working with large files can be more manageable in cloud environments like Amazon Web Services (AWS). These cloud platforms provide substantial computing power that can be accessed when needed, then switched off in a pay-per-use model to more efficiently handle the processing requirements of large cadastre files.

Primarily spatial files, they contain geometry data that represents the boundaries of each land parcel within the cadastre. The geometry information can be stored and represented in various text formats, which are universally understood by spatial data software applications.

The most common approaches for storing and representing the geometries are

which ensure compatibility and ease of interpretation across different software tools and platforms.

Additional attributes relating to the cadastre can also be served within the same spatial file, such as through the properties key within a cadastre’s GeoJSON document. Other formats such as WKT or WKB do not support the direct inclusion of additional attributes to the geometry, but can be associated with in different ways such as in an accompanying csv file containing any additional attributes.

What does a cadastre look like on a map?

The way a cadastre is represented on a map can vary significantly depending on the source of the data and the configuration settings used in the mapping software. Different factors like styling, symbols, and labeling options can influence how the cadastre appears visually on the map.

The following image is a typical representation of cadastre on a map, showing boundary lines that delineate the various land parcels or lots. These boundary lines help visually separate one property from another. While lot numbers are used as an identifying label to provide a quick reference to specific parcels within the cadastre.

Cadastre represented on a map

How does a cadastre look in a Snowflake Marketplace listing?

To incorporate a cadastre into Snowflake, it needs to be transformed into a table structure. The process involves loading the cadastre data in the form of GeoJson as a VARIANT data type in Snowflake. Then the GeoJson features are flattened and converted into individual rows within the table.

Alternatively, the cadastre file can be converted to a flat file outside of Snowflake, then loaded into Snowflake as you would with any other flat file.

This flattening process makes it easier to query and analyse the cadastre data using standard SQL operations within Snowflake, allowing for efficient storage, retrieval, and analysis of the information.

Attribute {A}Attribute {B}Attribute {C}Geometry
123POLYGON((30 10, 40 40, 20 40, 10 20, 30 10))

*The actual columns (feature attributes) available for each piece of land registered on a cadastre is dependent on the maintainer/publisher of the cadastre.

Australian cadastres

In Australia, individual state and territory governments are responsible for the maintenance of cadastres, rather than the federal government.

Each state and territory has its own land administration agency responsible for maintaining cadastres within their jurisdiction.

The following organisations maintain cadastres:

These agencies are responsible for updating and managing the cadastre, including recording changes to property ownership, boundaries, and other relevant information. They also provide access to the cadastre and related services to the public, including title searches, property reports, and other land-related information.

Who provides cadastres on Snowflake Marketplace?

  • The Proptech Cloud
  • Geoscape
  • Precisely

What would a cadastre be used for?

Cadastres can be used to:

  • Identify the unique number of properties in a country,
  • Identify changes to properties (merges, subdivisions, title registrations),
  • Spatially link other spatial information to a property,
  • Spatially lookup a property based, i.e. lookup properties based on latitude and longitude coordinates, or based on geospatial shape (think drawing a circle on map to search for properties on the map),
  • Represent property boundaries on a map.

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What Is A Property?

What Is A Property?

The definition of a property is something that has troubled many proptechs and users of property data for some time. The concept seems relatively simple until you try to write a definition.

Let’s consider, one definition might be:

“A property is a piece of land or building that is owned or possessed by someone or something.”

Great, we nailed it!

But then someone asks “what about leaseholds?”.

OK. Let’s modify the definition to something like,

“A property is a piece of land or building that can be owned or leased by someone or something.”

Seems to cover everything…

So does a sublet, like a desk or office in a co-working space, count as a property?

I can lease a granny flat, is that a property?

What about trailer parks? Is that one property or multiple properties for each site?

And the examples keep coming!

Eventually the conversation changes to just simply define everything as a property.

Why Can’t I Define Everything as a Property?

Defining everything as a “property” is definitely an option, but it has its own drawbacks.

Firstly, obtaining a deep understanding of a property when everything is a property would be difficult.

Integrations to other data sets is extremely difficult taking this approach, as the definition is quite fluid and can lead to inconsistent results.

For example, one data set may contain data on a granny flat and another on a main dwelling on the same parcel of land.

An address match would be used to link the two data sets, and attributes from the granny flat added to the main dwelling, which isn’t correct.

Another issue with defining everything as a property is alternate addresses, which could be mistaken for secondary dwellings, resulting in an over-classification of properties.

So, What is a Property?

Well, it depends. Consider,

  • If you are bank processing mortgage applications, what would a property mean in that context?
  • If you are a website listing private vacation stays, what would a property mean in that context?
  • If you are a website listing hotel accommodation, what would a property mean in that context?
  • If you are a website listing flat shares, what would a property mean, then?
  • If you are a government collecting statistics on the population, what would a property mean in that context?
  • If your customers were property developers, do they care about sub-lets or strata units?

There is no one definition of a property.

A property can be whatever it means to your business and your customers. But it is important to form a view, and be consistent in executing that approach. Inconsistency in approaches to handling the data can lead to data issues that can impact your business.

Tips when Deciding on a Definition of a Property

  • Generally, the broader the definition of a property used, the less depth of information is available.
  • Try to ensure you have integration attributes available for your definition so third party data sets can be integrated.
  • In most use cases, a property definition would align to one of the key concepts in property data: parcels, titles, addresses, or buildings. Read our post on the differences between parcels, titles, addresses and addresses.
  • Finally, extra caution needs to be taken when integrating with third-party property data sets to ensure definitions align, or the differences known and catered for. Research third party data sets using a source like theproptechcloud.com to ensure you achieve your desired outcome.

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