The Shifting Landscape of Property Ownership in Australia

The Shifting Landscape of Property Ownership in Australia

In Australia, there are different types of property ownership structures each with unique rights and responsibilities. From outright ownership and joint tenancy to tenants in common and trust ownership, each structure offers varying levels of control and liability.

However, with rising property prices, regulatory changes, and economic uncertainties, property ownership is evolving. Innovative models like shared equity schemes, build-to-rent and fintech-driven solutions are emerging to address affordability and accessibility challenges, offering new pathways for those looking to invest in a dynamic property market.

Traditional Ownership Structures

When it comes to owning property in Australia, various ownership structures provide different rights and responsibilities to the owners.

  • Outright Ownership: In this structure, you are the sole owner of the property without any mortgage or debt, with your name alone on the deed. As the sole proprietor, you are fully responsible for the property, which is typically owned in your personal name.
  • Joint Tenants: Under joint tenancy, you and another person share equal ownership of the property. Both parties have full ownership rights, and upon the death of one joint tenant, their share automatically passes to the surviving joint tenant.
  • Tenants in Common: This structure allows two or more people to own specific portions of the property, which can be divided in any ratio, such as 50/50 or 70/30. Each owner has individual rights to their share, which they can sell or bequeath independently of the others.
  • Trust Ownership: Here, the property is owned and managed by a trust, an entity that holds assets on behalf of its beneficiaries. Family trusts are common in this structure, particularly when property is intended to be passed on to younger family members.
  • Company Ownership: Property can also be owned through a company, and there may be various taxes that could affect a business property.

Current Challenges in the Australian Property Market

Australian Housing and Urban Research Institute’s Report on Australian home ownership over the years shows that the Australian property market is facing significant challenges that are reshaping how people approach property ownership.

Affordability

Rising property prices and stagnant incomes have made traditional home ownership increasingly difficult for many Australians, particularly younger and lower-income households.

Over the past decades, the ability of individuals aged 24–45 to purchase homes has diminished, contributing to a long-term demographic trend of lower ownership rates.

The lack of significant income growth limits the ability to save for deposits or qualify for mortgages, intensifying the impact of high property prices.

Rising rents in recent times also forces renters to allocate a larger portion of their income to rent, making it more challenging for them to save for a deposit to purchase a home.

Housing Supply and Demand Imbalances

The mismatch between housing supply and demand is another significant challenge.

The construction industry is increasingly focused on multi-unit dwellings designed for the rental market, particularly in major Australian cities.

These properties tend to cater to investors and renters rather than potential homeowners, reflecting an industry recognition that ownership may not be the primary mode of housing growth in the future.

Economic Uncertainty

Factors such as interest rates and inflation influence property ownership trends by affecting borrowing capacity and investment decisions.

Stagnant incomes, alongside a mismatch between housing supply and demand, has further strained affordability.

Regulatory and Policy Environment

The policy environment has not supported a resurgence in homeownership. Instead, there is a strong push toward supporting rental markets and investment properties (such as oppositions to negative gearing reform and the build-to-rent push), partly due to the influence of financial and property development lobby groups.

By contrast, there are not equivalent lobbying interests for home purchase.

Global Context and Future Outlook

The decline in homeownership is not unique to Australia, but part of a broader trend seen in many developed countries. As policies and market conditions evolve, there is a noticeable shift from promoting homeownership to managing rental markets.

This trend seems to suggests that Australia’s housing landscape may continue to favour rental and investment properties over traditional homeownership, which means new approaches to housing policy and economic support for potential homeowners is required.

Costs of Changing Property Ownership

In addition to the above challenges, the change of property ownership incurs various costs in Australia, which adds to the cost of home ownership:

    • Stamp Duty: A government tax payable when purchasing property. It is charged as a percentage of the land valuation, typically between 3% and 5.5%, depending on the state.
    • Capital Gains Tax (CGT): If you sell property or assets for more than its purchase price, you incur a capital gain and must pay tax on it; if you sell for less, you incur a capital loss. Applicable to assets purchased on or after 20 September 1985, CGT is 25% but is exempt for primary residences. Investment properties sold after 12 months of ownership qualify for a 50% CGT discount.
    • Other Fees: Legal fees, valuation fees, and costs relating to real estate agent, property marketing, moving and/or changes in existing mortgages may also apply.

These compounding issues have given rise to innovative property ownership models, driving buyers towards new ways of getting onto the property ladder.

Meeting Market Demands

The challenges of the Australian property market have spurred the development of unconventional ownership models that reflect the realities of modern buyers and offer an alternative to the more traditional ideals of property ownership.

Here we discuss alternative ownership models and schemes growing in popularity.

Collaborative Models

As discussed, there are a few options for traditional joint ownership of a property, with different legal ownership structures allowing multiple parties to jointly or partially own property.

Alternative collaborative models, however, are gaining popularity as it leverages collective buying power of their members when they allow multiple parties to share the costs and benefits of owning property. Examples include fractional investing or fractional ownership, where investors own a fraction of a property, and housing cooperatives.

These models are often facilitated through digital platforms that handle everything from matching co-owners (such as Mortgage Mates and Co-operty) to managing legal agreements (such as Rundl).

Shared Equity Schemes

A shared equity scheme is where buyers purchase a portion of a property and the remaining share is owned by an investor or the government.

Examples include the nationwide Help to Buy Program where the government contributes 40% for new builds and 30% for existing properties.

With the exception of the Northern Territory, variations of these shared equity schemes are offered in each state and territory across Australia.

These schemes lower the financial barrier to entry, enabling more people to own property, even if it’s only a partial equity ownership stake.

Build-To-Rent

Build-to-rent model involves developers retaining ownership of residential properties and leasing units directly to tenants, rather than selling them individually.

While it does not promote individual homeownership, build-to-rent provides several benefits that address common issues faced by renters. Tenants enjoy long-term leases, which provide greater security and the opportunity to build a stable home environment. This model also allows for more flexibility, such as the freedom to personalise living spaces, keep pets and access a range of communal amenities that enhance the quality of life, such as gyms, co-working spaces and social areas.

By focusing on long-term rental solutions, build-to-rent developments aim to create vibrant communities where residents feel a strong sense of belonging and stability, catering to those who prioritise convenience and flexibility by offering a more high-quality, stable and secure rental experiences compared with traditional renting options.

Rent-To-Buy (also known as Rent-To-Own or Vendor Financing)

In theory, rent-to-buy models make home ownership more accessible by offering a “live now, buy later” concept as an answer to those struggling to save a large deposit in Australia’s high-priced housing market.

Typically, the rent-to-buy model allows prospective homeowners to move into a property and live there. Instead of requiring a substantial deposit upfront, this model enables tenants to rent the property and gradually accumulate their deposit as part of their rental payments.

Once the deposit is fully accrued, the tenant can transition to full ownership. FrontYa and PublicSquare offer variations of the rent-to-own model with pathways for potential homeowners to rent a property with the option to purchase it later.

The Synergy Between Fintech and Proptech Driving New Property Ownership Models

The collaboration between fintech and proptech has created a synergy that has driven the development of some new property ownership models by facilitating key processes.

The Rise of Fintech in Property Ownership

One of the most significant shifts has been the integration of financial technology (fintech) into the property market. Fintech companies are transforming how people finance their property purchases, offering more flexible and accessible lending options.

Online platforms now streamline the mortgage application process, providing instant pre-approvals and personalised loan offers based on real-time data, making it easier for buyers to secure financing even in a challenging economic environment.

Fintech has also introduced alternative financing models, such as peer-to-peer lending and crowdfunding.

These platforms allow individuals to invest in property collectively, breaking down barriers for those who might not have the capital to purchase property outright. By pooling resources, investors can own a share of a property and earn returns without traditional mortgages.

Proptech: Revolutionising the Real Estate Industry

Alongside fintech, the emergence of property technology (proptech) is transforming how properties are bought, sold and managed.

Proptech encompasses a wide range of digital tools and platforms designed to enhance every aspect of the real estate process.

Typically, fintech drives these modern property ownership models by providing financial tools and platforms that simplify transactions, expedite processes and enhance transparency.

Proptech complements them by delivering the digital infrastructure and solutions that streamline operations, making these models both accessible and easy to manage.

Innovation and Legal Uncertainty: The Evolving Cycle

Fintech and proptech companies are driving technological innovation and digital disruption across the real estate industry.

However, these advancements also expose the limitations of current regulations.

For example, rent-to-buy and rent-to-own schemes often fall into gaps between federal and state laws, as highlighted by the Consumer Action Law Centre. This unfortunately leaves consumers without the same legal protections that standard home loan borrowers receive.

The scarcity of publicly available information about these new ownership schemes—such as details on conditions, fees, taxes, risks and stakeholder rights—can limit consumers who are conducting due diligence before making any decisions, adding to borrower risk.

To tackle these challenges, proposed laws aim to protect vulnerable stakeholders from risky schemes and regulate against unscrupulous providers.

The relationship between innovation and regulation is constantly evolving, which requires a careful balance between fostering technological advancements, ensuring consumers are protected and the market is fair.

The Future of Property Ownership in Australia

As these technologies and models continue to evolve, they are not only addressing the current challenges of the Australian property market but are also laying the groundwork for the future. The real estate industry is increasingly interconnected with the broader tech ecosystem, leading to more seamless and integrated property experiences.

In the coming years, we can expect further advancements in fintech and proptech, with innovations that continue to push the boundaries of what’s possible in property ownership and investment. From AI-driven market predictions to blockchain-secured transactions, the future of property ownership in Australia looks set to be more digital, more accessible, and more dynamic than ever before.

This shift toward digitalisation and technological disruption reflects a broader trend across industries, where technology is leveraged to solve complex challenges and create new opportunities. In the property market, this means more options for buyers, and ultimately, a more resilient and adaptable real estate industry that can better meet the needs of a changing world.

For expert help navigating title changes and property ownership questions, consider speaking to a conveyancer or solicitor. They can assist with issues related to property ownership and property law.

All content provided is for informational purposes only. While we strive to ensure that the information provided here is both factual and accurate, we make no representations or warranties of any kind about the completeness, accuracy, reliability, suitability, or availability with respect to the blog or the information, products, services, or related graphics contained on the blog for any purpose.

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Read more from The Proptech Cloud

The Shifting Landscape of Property Ownership in Australia

Uncover the ways in which fintech and proptech are revolutionising property ownership in Australia, making it more accessible and dynamic than ever before.

Parcels, Titles, Addresses and Properties. What’s The Difference?

​Parcels, titles, addresses and properties. These terms are often used interchangeably in real estate, but are they the same thing?

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Parcels, Titles, Addresses and Properties. What’s The Difference?

Parcels, Titles, Addresses and Properties. What’s The Difference?

“Parcels”, “titles”, “addresses” and “properties” are often used interchangeably in real estate, but they refer to distinct concepts.

Understanding the differences between these terms is essential, particularly when dealing with land transactions, property ownership, or legal documentation.

We discuss it here.

The Definitions and Differences Between Parcels, Titles, Addresses and Properties

We define each of these terms in the context of Australian real estate. Additionally, we’ll explore how these terms are interlinked, while highlighting the key differences that set them apart.

What is a Parcel?

A Parcel refers to a specific section of land within a larger property. Think of it as a defined portion of land with clear boundaries, often identified by a unique number for legal or administrative purposes. Parcels are essential for land registration and property management.

In some Australian states, such as New South Wales (NSW), a parcel may also be referred to as a Lot and Plan, which serves as its identification number.

Properties can include multiple parcels. For example, a farm might consist of several individual parcels, but all these parcels are sold together when the property is transferred to a new owner.

What is a Title Reference or Volume Folio?

The Volume Folio or Title Reference is a unique identifier assigned to a property title (a legal document that records specific information about a property) in the Australian land registration system. It represents the registered ownership and legal description of a property.

  • The Volume refers to the specific book or register where the property title is recorded.
  • The Folio refers to the page or entry in that volume where the property information is found.

This unique identifier plays a crucial role in land transactions and legal documentation, ensuring properties are accurately identified.

When you hear someone refer to a “Volume Folio,” they are pointing to the formal documentation that confirms a property’s legal ownership.

What is an Address?

An Address is what we commonly use to describe the physical location of a property.

It consists of separate elements such as:

  • Street number
  • Street name
  • Suburb
  • State
  • Postcode

Addresses serve practical purposes, such as mail delivery, and are a key element in identifying a property’s physical location.

However, a property can sometimes have more than one address. For instance, corner lots or properties with access from back lanes may have multiple addresses.

What is a Property?

The term Property can have different meanings depending on the context. Within state government titling systems, a property refers to a piece of land that can be bought and sold.

In this context:

  • A property may consist of one or more parcels.
  • It may have one or more addresses.
  • It is recorded with a Volume Folio.

Understanding this broader definition helps clarify why “property” can be a complex term to define. For more details, check out our blog, What is a Property, where we dive deeper into the nuances of defining property in various contexts.

Common Questions

Can a parcel appear on more than one volume folio?

No, a parcel typically cannot appear on more than one Volume Folio. In the Australian torrens title system maintained by each state, each parcel of land is associated with a single Volume Folio. This folio contains the registered ownership and legal details of that specific property. However, there are exceptions where some states have titles that share a common parcel, like the Northern Territory and Unit Titles.

Are addresses unique?

In theory, addresses should be unique, but in practice, there can be exceptions.

Several factors can lead to address duplication or confusion, such as:

  • Unit addresses: Sometimes unit numbers are left out, making it difficult to distinguish between multiple units in the same complex.
  • Rural addresses: Properties without a public road frontage or properties identified by a name rather than a street number may cause complications.
  • Multi-building complexes: In some cases, the same unit number can appear in different buildings within the same complex, especially if building names are omitted.

Why Understanding the Differences Between These Terms Matters

Understanding the distinctions between properties, parcels, titles, and addresses is essential for ensuring accuracy and clarity, particularly when it comes to land transactions and property ownership.

For further research on Australian properties, parcels, volumes, and folios, check out our recommended resources in the article, Useful Websites for Australian Properties, Parcels and Addresses.

Originally published: 17 July 2023

Last updated: 15 October 2024

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​Parcels, titles, addresses and properties. These terms are often used interchangeably in real estate, but are they the same thing?

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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.

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What Is A Property?

What Is A Property?

The concept of “property” seems simple at first glance. However, depending on the application or context, defining “property” can become surprisingly tricky. This article explores why the definition is often debated and how various industries view “property” differently.

What Is a Property? The Basic Definition

In the most straightforward sense, we might define property as:

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

Seems like a solid definition, right?

But as we dive deeper, we start encountering exceptions.

For instance, does a leasehold count as property? What about a shared office space or a mobile home in a trailer park?

The more we think about it, the more complicated it gets.

Eventually the conversation changes to just simply define everything as a property. That is definitely an option, but it has its own drawbacks. We explain why.

Why Defining Property Is Complex

When everything is labeled as a “property,” things can get muddled.

The challenge with a broad definition is that it makes understanding specific attributes harder, which can cause issues when integrating property data across platforms or use cases.

Attempting to obtain a deep understanding of a property when everything is a property would be difficult.

Let’s break down a few of these challenges:

  • Data Integration Issues
    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 used to link the two data sets will mean attributes from the granny flat will be added to the main dwelling, which isn’t correct.
  • Over-classification
    Imagine you’re dealing with multiple addresses for the same building or property, such as an apartment building with different unit numbers—should each be considered a separate property, even if there’s only one main building? You could accidentally treat each address as a separate property, even though they all belong to the same main building.
    A broad definition could lead to over-counting properties, skewing your data.

Context Matters: Defining Property Across Industries

The way we define property depends heavily on the context. Here are a few examples:

  • In banking
    In mortgage applications, “property” refers to the real estate that is used as security for the loan. Banks focus on its value, legal ownership, and physical condition because these factors determine how much they can lend. This contrasts with other banking activities, where property may be viewed more generally as an asset without the same level of detailed scrutiny or long-term interest in its specifics.
  • In the legal context
    The definition of “property” often extends beyond just physical assets like land or buildings. According to the Australian Law Reform Commission (ALRC), property can be described as a bundle of rights—a legal construct that gives someone control over the use, enjoyment, and disposition of a certain asset. This means property doesn’t just refer to physical ownership but includes rights to lease, sell, or inherit that asset.
  • In vacation rentals
    On a website like Airbnb, a property could be anything from a private room to an entire villa, or even a yurt!
  • In hotels
    For accommodation platforms, each hotel itself may be considered one property, even if it contains multiple rooms for rent.
  • In government data
    Government data systems define property in different ways through a combination of spatial, legal, economic, and usage-based attributes to support various administrative, planning, and statistical functions.

There’s no universal definition of property, but aligning the term to the needs of your business and customers is critical.

Tips for Defining Property in Your Data

When defining what constitutes a property in your business, here are a few key things to keep in mind:

  • Avoid overly broad definitions
    The wider your definition of property, the harder it will be to capture detailed information. Try to be specific.
  • Ensure integration flexibility
    If you plan to use third-party property data, ensure your definition allows for easy data integration.
  • Align with common property concepts
    Typically, property data revolves around parcels, titles, addresses, or buildings. Ensure your definition aligns with one or more of these. For more in-depth guidance on property data, read our post on the differences between parcels, titles, addresses and addresses.
  • Carefully handle third-party data
    When integrating external property data, verify that the definitions are compatible or identify any differences early to avoid data issues.
  • Consistency is key
    Ultimately, the definition of a property will vary depending on your industry, business needs, and customer expectations. What matters most is consistency—once you define what “property” means to you, apply it consistently across all of your data handling processes. Inconsistencies can lead to misinterpretations and poor business decisions.

Originally published: 26 July 2023

Last updated: 23 September 2024

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Uncover the ways in which fintech and proptech are revolutionising property ownership in Australia, making it more accessible and dynamic than ever before.

Parcels, Titles, Addresses and Properties. What’s The Difference?

​Parcels, titles, addresses and properties. These terms are often used interchangeably in real estate, but are they the same thing?

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.

What’s The Difference Between Proptech and Contech?

Proptech and Contech is driving innovation across industries. We uncover the nuances and distinctions between Proptech and Contech here.

What is a Coordinate Reference System (CRS)?

We break down the concept of Coordinate reference systems (CRS) and discuss the different types, their purpose and uses in the world of real estate.

What’s The Difference Between Proptech and Contech?

What’s The Difference Between Proptech and Contech?

In real estate and construction, proptech and contech have emerged in more recent years with the potential to disrupt and digitise.

These technologies are driving innovation across industries, yet they each serve distinct roles.

We uncover the nuances and distinctions between proptech and contech here.

Defining Proptech and Contech

Proptech

Proptech is the broad umbrella term encompassing all digital innovations that enhance and streamline processes within the real estate industry.

It covers everything from property management and transactions to marketing and customer engagement.

While its reach can extend to the construction phase of property development, proptech’s focus is on optimising the entire lifecycle of real estate—from conception to management.

Here are examples of startups and more established proptech companies making waves in real estate:

  • Archistar specialises in AI-driven architectural design and property analytics, helping developers and architects assess building potential.
  • Propic uses AI and machine learning to enhance real estate processes such as sales, property management and customer service automation.
  • Little Hinges specialises in digital property marketing solutions with virtual property tours, floorplans, virtual staging, global platform and an Insights portal.
  • Equiem provides tenant engagement technology for commercial real estate, focusing on improving communication and services between landlords and tenants.
  • CoreLogic, a provider of financial, property, consumer information services known for their comprehensive real estate data services, is also a leading player in AI-powered housing data and analytics.
  • AirBNB is well known as a short-term rental platform, however, Airbnb’s disruption and influence on the traditional property management and rental markets has defined its role in the proptech sector.
  • Zillow is a comprehensive platform connecting renters, buyers and sellers to facilitate seamless transitions into their dream homes.

Contech

While proptech may briefly address construction, contech is solely focused on the construction process, providing solutions that improves safety, efficiency and/or precision on the job site. In general, it refers to the technologies that directly impact the planning, design and building of structures.

Here are some notable contech companies making an impact on the construction industry:

  • Autodesk is known for their Design and Make Platform for planning, design, construction and project operation.
  • Procore’s cloud-based construction management platform streamlines every process from pre-construction to closeout.
  • Built Robotics has a mission to build the robots that build the world.
  • Rhumbix is a software company which consolidates and digitises field reporting workflows into one app.
  • Matterport is a spatial data company focused on digitising and indexing the built world with their all-in-one 3D data platform.
  • cmBuilder offers 4D construction site logistics with fast & easy cloud-based workflows, powerful sequencing simulation capabilities, and unparalleled real-time collaboration.

Key Differences Between Proptech and Contech

Scope of Application:

  • Proptech covers a broad spectrum of digital tools and platforms used across the real estate industry, including everything from smart property management systems to online marketplaces that simplify buying, selling, and renting properties.
  • Contech is focused on the construction phase of property development. It involves tools and technologies that assist architects, engineers and builders in creating physical structures, from advanced construction materials to innovative design software.

Target Audience:

  • Proptech primarily targets real estate professionals, including developers, property managers, realtors, investors, and tenants. Its tools are designed to enhance customer experiences, streamline transactions and provide valuable market insights.
  • Contech caters specifically to construction professionals—architects, contractors, engineers, and construction workers— with a focus on improving the efficiency, safety and/or quality of the construction process.

Technological Impact:

  • Proptech typically integrates technologies such as Big Data, Artificial Intelligence, Virtual and Augmented Reality, IoT and Blockchain. These innovations have the power to transform traditional real estate practices, offering smarter, more efficient ways to manage properties, conduct transactions and interact with clients.
  • Contech typically leverages technologies like Building Information Modeling (BIM), prefabrication, robotics, drones or wearable tech. These tools are generally designed to enhance and optimise the construction process, reduce risks and improve productivity on-site.

Proptech and Contech: Better Together

While proptech and contech operate in different domains, their intersection is where the magic happens.

Proptech’s digital solutions often complement contech’s innovations, creating a seamless flow from project planning and construction to property management and sales.

For instance, a real estate developer might use contech to design and build a property, then rely on proptech platforms to market, lease or sell the units.

Proptech and contech both offer powerful tools that drive efficiency, safety and profitability in real estate and construction.

By leveraging these technologies, professionals can navigate industry complexities with greater agility and success.

At The Proptech Cloud, we believe in the game-changing power of both proptech and contech.

Together, they’re reshaping the future of real estate—one innovative solution at a time.

 

Subscribe to our newsletter

Subscribe to receive the latest blogs and data listings direct to your inbox.

Read more from The Proptech Cloud

The Shifting Landscape of Property Ownership in Australia

Uncover the ways in which fintech and proptech are revolutionising property ownership in Australia, making it more accessible and dynamic than ever before.

Parcels, Titles, Addresses and Properties. What’s The Difference?

​Parcels, titles, addresses and properties. These terms are often used interchangeably in real estate, but are they the same thing?

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.

What’s The Difference Between Proptech and Contech?

Proptech and Contech is driving innovation across industries. We uncover the nuances and distinctions between Proptech and Contech here.

What is a Coordinate Reference System (CRS)?

We break down the concept of Coordinate reference systems (CRS) and discuss the different types, their purpose and uses in the world of real estate.

How to Incorporate Mesh Blocks into Datasets

How to Incorporate Mesh Blocks into Datasets

Mesh Blocks in real estate and proptech applications

Mesh Blocks are useful for geospatial and proptech applications, providing granularity and accuracy for understanding local real estate markets, demographics and land use.

The integration of Mesh Blocks into datasets can enhance the precision and relevance of analyses within the proptech and real estate sectors.

Useful in geospatial data and census analyses, embedding Mesh Blocks into digital boundaries enhances their usability in various applications.

We will cover the steps to incorporate mesh blocks into data sets below.

What are Mesh Blocks and how are they used in real estate?

Mesh Blocks are foundational building blocks for geospatial and proptech applications, providing granularity and accuracy for understanding local real estate markets, demographics and land use.

How to incorporate Mesh Blocks into datasets

Incorporating Mesh Block into datasets involves several steps to ensure seamless integration and effective utilisation of geographical information. Here’s a guide on how to incorporate Mesh Blocks into datasets:

Step 1: Data Collection

Gather relevant data that aligns with Mesh Blocks.

This may include demographic information, property values, land use details, or any other dataset that can be associated with specific geographical areas.

 

Step 2: Download Mesh Block Boundaries

Mesh Block boundary files can be downloaded from authoritative sources, such as the Australian Bureau of Statistics (ABS) or relevant statistical agencies.

For ease, The Proptech Cloud has a free comprehensive dataset Geography – Boundaries & Insights – Australia ready for access and immediate use.

Geography – Boundaries & Insights – Australia

This free dataset from The Proptech Cloud is available for seamless access from Snowflake Marketplace.

Step 3: Geospatial Data Processing

Use Geographic Information System (GIS) software or programming libraries (e.g., Python with geospatial libraries like GeoPandas) to process and manipulate the mesh block boundaries.

Tip:

Geographical boundaries can be imported using Python libraries including Geopandas and shapely.

Many data warehouses including Snowflake, BigQuery and PostgreSQL have in-built geospatial functionality to allow for the processing of geospatial data.

QGIS – Loading in Geospatial files in QGIS

1. From the toolbar at the top of the page click Layer > Add Layer > Add Vector Layer

2. Make sure the Source Type is clicked to File

3. Load in the Source Data by using the three dots button at the side of the Vector Dataset(s) toolbar

QGIS - Loading in Geospatial files in QGIS

Geospatial Formats

The two most common ways geospatial data are represented in files are Well-Known-Text (WKT) which is a textual representation of a polygon and the geojson format which shows the coordinates and type of geojson format.

Both Python and Snowflake have capabilities to work with these 3 formats and parse them so they can be used in geography functions

WKT Format

#Example 2 using WKT format

from shapely import wkt

brisbane_bbox = “POLYGON ((153.012021 -27.471741, 153.012021 -27.462598, 153.032931 -27.462598, 153.032931 -27.471741, 153.012021 -27.471741))”

brisbane_poly = wkt.loads(brisbane_bbox)

Python – Loading in GeoJSON

The libraries geojson, shapely and json need to be installed.

#EXAMPLE 1 working with a geojson format

import json

import geojson

from shapely.geometry import shape

geojson_example = {

"coordinates": [[[153.01202116, -27.47174129], [153.01202116, -27.46259798], [153.03293092, -27.46259798], [153.03293092, -27.47174129], [153.01202116, -27.47174129]]],

"type": "Polygon"

}

geojson_json = json.dumps(geojson_example)

# Convert to geojson.geometry.Polygon

geojson_poly = geojson.loads(geojson_json)

poly = shape(geojson_poly ))

Snowflake

GeoJSON and WKT format can also be loaded into snowflake and converted to a geometry using the following commands:

#converting Well-Known-Text into geography format

SELECT ST_GEOGRAPHYFROMWKT('POLYGON ((153.012021 -27.471741, 153.012021 -27.462598, 153.032931 -27.462598, 153.032931 -27.471741, 153.012021 -27.471741))');

#Converting Geojson to geography format

SELECT TO_GEOGRAPHY('{

"coordinates": [[[153.01202116, -27.47174129], [153.01202116, -27.46259798], [153.03293092, -27.46259798], [153.03293092, -27.47174129], [153.01202116, -27.47174129]]],

"type": "Polygon"

}

')

Step 4: Data Matching

Match the dataset records with the appropriate mesh blocks based on their geographical coordinates. This involves linking each data point to the corresponding mesh block within which it is located.

Tip:

Geospatial functions which are supported in big data warehouses and Python can be used to match geospatial data.

A common way to match two geographical objects is to see if the coordinates of the two objects intersect. An example of how to do this in Python and Snowflake is shown below.

In Python

Data matching can be done using the shapely library intersects function.

from shapely import wkt, intersects

shape1 = wkt.loads("POLYGON ((153.012021 -27.471741, 153.012021 -27.462598, 153.032931 -27.462598, 153.032931 -27.471741, 153.012021 -27.471741))")

shape2 = wkt.loads("POLYGON ((153.012021 -27.471741, 153.032931 -27.462598, 153.012021 -27.471741))")

shape_int = intersects(shape1, shape2)

print(shape_int)

 

In Snowflake

Data matching can be done using the ST_Intersects function. One of the advantages of using big data warehouses including Snowflake to geospatially match data is that it leverages its highly scalable infrastructure to quickly complete geospatial processing.

WITH geog_1 as (

SELECT ST_GEOGRAPHYFROMWKT('POLYGON ((153.012021 -27.471741, 153.012021 -27.462598, 153.032931 -27.462598, 153.032931 -27.471741, 153.012021 -27.471741))') as poly

),

geog_2 as (

SELECT ST_GEOGRAPHYFROMWKT('POLYGON ((153.012021 -27.471741, 153.022021 -27.465, 153.032931 -27.462598, 153.012021 -27.471741))') as poly

)

SELECT

g1.poly, g2.poly

FROM geog_1 as g1

INNER JOIN geog_2 as g2

on ST_INTERSECTS(g1.poly, g2.poly)

Step 5: Attribute Joining

If your dataset and mesh blocks data have common attributes (e.g., unique identifiers), perform attribute joins to combine information from both datasets. This allows you to enrich your dataset with additional details associated with mesh blocks.

Step 6: Quality Assurance

Verify the accuracy of the spatial integration by checking for any discrepancies or errors. Ensure that each data point is correctly associated with the corresponding mesh block.

Tip:

geojson.io is a handy website that can help with visualising geojson data and ensure it is correct.

If you’re using Snowflake, the ST_AsGeojson command can be used to convert geography into a geojson which allows you to quickly visualise the shapes created.

Step 7: Data Analysis and Visualisation

Leverage the integrated dataset for analysis and visualisation. Explore trends, patterns, and relationships within the data at the mesh block level. Utilise geospatial tools to create maps and visual representations of the information.

Tip:

It’s worth mentioning that Snowflake has the option to create a Streamlit app within the Snowflake UI which allows for the cleaning and processing of data using Python and SQL and the interactive visualisation of data through the Streamlit App.

Read our blog which demonstrates how to predict migration patterns and create forecasts using Snowpark and Streamlit>

Snowflake also integrates really well with local Python development environments so all the initial data processing and cleaning can be done through a Snowflake API, then geography can be converted to a GeoJson or Text formal. Thereafter, libraries like plotly, folium, pydeck can be used to do complex geospatial visualisations.

Step 8: Data Storage and Management

Establish a system for storing and managing the integrated dataset, ensuring that it remains up-to-date as new data becomes available.

Consider using databases or platforms that support geospatial data.

Tip:

Geospatial datasets are usually very large and complex datasets due to the number of attributes included in a geospatial dataset, the resolution of the data and the number of records.

Cloud-based big data platforms can be an excellent option for storing geospatial data due to the low-cost of storage. Many of these platforms including also have spatial clustering options so that geospatial data in a similar location are grouped together, meaning queries for data in certain areas run more efficiently.

Snowflake (Enterprise Edition or Higher) also has an option to add a search optimisation to geospatial data tables to optimise the performance of queries that use geospatial functions.

Step 9: Documentation

Document the integration process, including the source of mesh block boundaries, any transformations applied, and the methods used for data matching. This documentation is essential for transparency and replicability.

By following these above steps, you can effectively incorporate mesh blocks into your datasets, enabling a more detailed and location-specific analysis of the information at the mesh block level.

 

Geography – Boundaries & Insights – Australia

This free dataset from The Proptech Cloud is available for seamless access from Snowflake Marketplace.

All rights are reserved, and no content may be republished or reproduced without express written permission from Data Army and The Proptech Cloud. All content provided is for informational purposes only. While we strive to ensure that the information provided here is both factual and accurate, we make no representations or warranties of any kind about the completeness, accuracy, reliability, suitability, or availability with respect to the blog or the information, products, services, or related graphics contained on the blog for any purpose.

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