What is a Geodetic Datum?

What is a Geodetic Datum?

A geodetic datum can be described as a reference point or starting line that helps us measure and describe locations on the Earth’s surface.

Let’s use a sporting example to explain the concept.

Say you’re playing baseball, and have a home base where you start your game. This home base is like a geodetic datum. It’s a fixed point on the field that everyone agrees on as the reference point for scoring runs.

In baseball, all the distances are measured from home base. For example, how far you hit the ball or how far you run around the bases is based on your relationship to that central point. Without a fixed home base, it would be challenging to keep track of scores and positions accurately.

In the world of geography and mapping, Earth’s surface is vast and not perfectly flat, so we need a similar reference point. And a geodetic datum does just this, serving as a foundation for mapping and navigation.

What is a geodetic datum?

A geodetic datum is a model that defines the shape and size of the Earth’s surface, as well as the location of a reference point (the origin) and the orientation of the axes.

A geodetic datum provides the framework for measuring and comparing positions on the Earth’s surface.

Components

A geodetic datum consists of several key components:

  • Reference Ellipsoid: Describes the shape of the Earth (e.g., WGS 84).
  • Geodetic Center: Specifies the Earth’s centre point.
  • Prime Meridian: Defines the longitudinal reference line (e.g., Greenwich Meridian).

What purposes does a geodetic datum serve?

Geodetic datums serve as a reference framework for defining the shape of the Earth and its orientation. They provide a consistent basis for measuring latitude, longitude, elevations and are essential in geospatial analysis.

Geodetic datums help us create accurate maps, GPS navigation and positioning, and other location-based systems by giving us a standardised starting point to measure distances and positions from.

Different types of geodetic datums

Some geodetic datums are global, aiming to provide a worldwide reference framework, although many countries and regions around the world commonly use different geodetic datums to best fit the curvature of the Earth in their boundaries for greater accuracy. They may also vary from one region to another due to historical, technical, and practical reasons.

Examples of commonly used geodetic datums include the World Geodetic System 1984 (WGS84) and the North American Datum 1983 (NAD83).

Geodetic datum used in property and real estate

How geodetic datums are used in property and real estate

Geodetic datums are fundamental to property and real estate by providing a standard referencing system for defining property boundaries, mapping, location-based services, and decision-making processes related to land use and property transactions.

  • Property Surveys:
    When a property is surveyed, geodetic datums provide a reference framework for precisely locating property boundaries and corners. Surveyors use coordinates based on the datum to define the property’s position on the Earth’s surface accurately. This is critical for property boundaries, ensuring that the land’s legal description is accurate.
  • Land Records and Title Deeds:
    Property records and title deeds often include coordinate information based on a specific geodetic datum. This information ensures the accuracy and consistency of land ownership records.
  • Geographic Information Systems (GIS) Mapping: GIS used in the real estate industry rely on geodetic datums to create digital maps. These maps help real estate professionals and government agencies manage property information, zoning, and land use more effectively.
  • Location-Based Services:
    Real estate agents and online platforms use mapping applications that rely on geodetic datums to display property locations accurately. This helps potential buyers or renters understand the property’s precise location and nearby amenities.
  • Property Valuation:
    Geodetic datums can be used in property valuation models to consider factors like the property’s location, proximity to schools, transportation, and other geographic features. These factors can affect a property’s value.
  • Land Use Planning:
    Urban and regional planners use geodetic datums to assess the suitability of land for different purposes, such as residential, commercial, or industrial development. They consider geographic factors and zoning regulations.
  • Environmental Impact Assessment:
    When evaluating the environmental impact of a real estate development, geodetic datums help assess factors like proximity to water bodies, floodplains, and protected areas.
  • Infrastructure Development:
    Geodetic datums are essential for planning and constructing infrastructure, such as roads, utilities, and public transportation systems. Accurate location information ensures that developments are built correctly.
  • Property Insurance:
    Insurers may use geodetic datums to assess the risk associated with a property’s location, particularly regarding natural disasters like floods or earthquakes.

Geodetic datums are used widely by proptechs and serve a number of purposes in real estate and property management. 

Read our blog to learn about the geodetic datums we use and reference in Australia.

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What is H3?

What is H3?

There are a number of geospatial indexing systems which caters to spatial data types, query requirements, and use cases, with the choice often depending largely on the needs of your geospatial application and type of data. H3 is the relatively newer kid on the geospatial block, promising accuracy and scalability. Let’s delve in to understand its defining characteristics, how it works, and its practical applications.

What is H3?

H3 is a geospatial indexing system developed by Uber Technologies. It’s designed to partition the Earth’s surface into a hierarchical grid of hexagons. Each hexagon is assigned a unique H3 index, and this grid provides a way to represent and analyse geographic data with consistent precision.

In simpler terms, H3 is a way of breaking down the world into pieces, similar to how a jigsaw puzzle has pieces that fit together. These pieces are shaped like hexagons, like the honeycomb in a beehive.

These hexagons come in different sizes, so bigger hexagons can be used to talk about big areas like a country, whereas small hexagons can be used to talk about tiny areas like a neighbourhood.

Each of these hexagons is assigned a special code to help computers and maps understand where a place is on Earth. So instead of saying you’re at a certain latitude or longitude, you can simply give the code and your location can be pinpointed exactly.

Key characteristics of H3

  1. Hierarchical Grid
    This geospatial indexing system uses a hierarchical structure with multiple levels of hexagons. At each level, hexagons are subdivided into smaller hexagons, providing a scalable way to represent locations at different levels of detail.
  2. Uniform Precision
    Uniform precision across the globe means that hexagons at the same level of the hierarchy will represent approximately the same area, and are consistently spaced between hexagons.
  3. Spatial Relationships
    H3 provides better spatial relationships than traditional rectangular grids like latitude and longitude or Geohash. Hexagons have a more natural fit for mapping many real-world features and are less prone to distortions, especially near the poles.
  4. Resolution Levels
    By supporting multiple resolution levels, this system allows users to choose the appropriate level of detail for their application. Higher resolution levels provide more precision but may result in a larger number of hexagons to manage.
  5. Efficient Spatial Queries
    H3 makes it efficient to perform spatial queries, such as point-in-polygon tests, nearest-neighbor searches, and spatial aggregations. This is particularly valuable for applications like ride-sharing, logistics, and urban planning.
  6. Open Source
    H3 is open-source and available to the public, making it accessible for developers and researchers to use and contribute to its development.
  7. Geospatial Libraries
    H3 has been integrated into various geospatial libraries and programming languages, making it easier for developers to work with this geospatial indexing system in their applications.

How does H3 work?

Here’s a technical explanation of how H3 works:

  1. Hexagonal Grid
    H3 starts by subdividing the Earth’s surface into hexagonal grids. These hexagons are the basic building blocks of the system.
  2. Hierarchical Levels
    H3 employs a hierarchical approach with multiple zoom levels. At each zoom level, the hexagons are divided into smaller hexagons. This hierarchy allows for representing locations with varying levels of precision.
  3. Unique Hexagon IDs
    Each hexagon in the grid is assigned a unique identifier called an H3 index. These indices are used to identify specific geographic areas. An H3 index consists of two parts: a base cell and a resolution level. The base cell determines the general area, and the resolution level refines the precision within that area.

What does H3 look like?

This geospatial indexing system partitions the globe into hexagons for accurate analysis, as indicated in this image.

Geohash vs H3 Comparison

Source: Uber

Real estate applications of H3

As you can imagine, a geospatial indexing system developed by ride-share company, Uber would make it indispensable for ride-sharing and navigation, optimising driver and passenger matching, but also in determining best pickup and drop off points, fare calculations and route planning.

Due to its ability to represent geo locations accurately and analyse geographical data efficiently, it has wide appeal and vast uses in real-estate too. In most situations, anytime you might use the more commonly used Geohash, you could potentially use H3.

So, how does H3 compare?

H3 is one of the geospatial indexing systems at your disposal, answering to various spatial data types, query requirements, and use cases. However, the choice between using H3 and other indexing systems depends largely on the needs of your geospatial application and type of data.

Read how H3 and Geohash compare if you’re considering which system to adopt.

Snowflake releases H3 functionality

Snowflake provides SQL functions that enable you to use H3 with GEOGRAPHY objects.
This preview feature is now available to all accounts.

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