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939 datasets for “Squares”
- data.gov.au
Estimation of parameters using least squares
Geoscience Australia DataUpdated 16 Oct 2025
Legacy product - no abstract available
- HTML
- data.gov.au
DynAdjust User's Guide
Geoscience Australia DataUpdated 25 Mar 2026
DynAdjust is a rigorous, high performance least squares adjustment application. It has been designed to estimate 3D station …
- HTML
- Data.gov Catalog
Advancing Replicable Solutions for High-Performance Homes in the Southeast - JMC - Patrick Square
SouthfaceUpdated 1 Nov 2023
… Savannah Gardens in Savannah, Georgia (CZ 2); JMC Patrick Square in Clemson, South Carolina (CZ 3); and LaFayette …
- XML
- data.gov.au
Enhancing the Australian Gravimetric Quasigeoid with Airborne Gravity Data Report 2: Victoria
Geoscience Australia DataUpdated 31 Mar 2026
This document summarises a regional Australian Gravimetric Quasi Geoid (AGQG) calculation for the Victoria area, undertaken to assess …
- data.gov.au
Enhancing Australian Gravimetric Quasigeoid with Airborne Gravity Data: Report 3: Greater Adelaide Region
Geoscience Australia DataUpdated 31 Mar 2026
This document summarises a regional Australian Gravimetric Quasi Geoid (AGQG) calculation for the Greater Adelaide area, undertaken to …
- data.gov.au
Historic Photos of Adelaide
City of AdelaideUpdated 25 Jun 2025
Historic photographs of Adelaide including buildings, parklands, statues and other significant structures and sites, former Lord Mayors of …
- XML
- CSV
- KML
- ZIP
- data.gov.au
Enhancing the Australian Gravimetric Quasigeoid with Airborne Gravity Data Report 1: New South Wales
Geoscience Australia DataUpdated 30 Mar 2026
This document summarises a regional Australian Gravimetric Quasi Geoid (AGQG) calculation for the NSW area, undertaken to assess …
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 17 Oct 2025
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 20 Jan 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 2 Mar 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 7 Mar 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 25 Mar 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 20 Apr 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 30 Apr 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Geoscience Australia DataUpdated 14 May 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 11 Jan 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 23 Jan 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 12 Feb 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 5 Mar 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Performance of Machine Learning Methods and their combinations with Ordinary Kriging and Inverse Distance Squared
Australian Ocean Data NetworkUpdated 16 Mar 2026
… combination with ordinary kriging (OK) and inverse distance squared (IDS). We aim to identify the most accurate methods …
- HTML