Search results for predictive models

Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

Australian Ocean Data Network · Updated 27 Jun 2026

… 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

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ALBOMAURICE: a predictive model for mapping Aedes albopictus mosquito populations in Mauritius

Degenne, Pascal · Updated 14 Jun 2024

Lien vers la fiche source The software runs a mosquito population dynamics model to predict the temporal and …

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Predicted hydropower impacts of different management scenarios for Lake Powell releases

U.S. Geological Survey · Updated 12 Apr 2024

These data were compiled to predict hourly Glen Canyon Dam operations and hydropower impacts. The objective of our …

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Numerical Weather Prediction NWP

Environment and Climate Change Canada | Environnement et Changement climatique Canada · Updated 21 Feb 2022

The Canadian Meteorological Centre CMC produces Numerical Weather Prediction NWP as one of the key inputs to the …

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Data and code from Modelling habitat suitability for multiple priority weed species to predict invasion hotspots for strategic management in complex landscapes

CSIRO Data Access Portal · Updated 11 Nov 2026

This dataset supports the manuscript "Modelling habitat suitability for multiple priority weed species to predict invasion hotspots for …

Pyrogeography: Integrating and Evaluating Existing Models of Australian Fire Regimes to Predict Climate Change Impacts

Terrestrial Ecosystem Research Network's Data Discovery · Updated 4 Mar 2026

… a) predictions of the group of conceptual models recently developed; and (b) predictions of process-based models. The …

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Linear regression model for predicting shallow groundwater nitrate concentration in the Black Creek Watershed, Indiana, 2022—2024

U.S. Geological Survey · Updated 31 Aug 2026

A linear regression model was developed to estimate continuous nitrate concentration in groundwater at a shallow groundwater monitoring …

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Assessing the accuracy of spatial predictive models in the environmental sciences

Geoscience Australia Data · Updated 16 Oct 2025

Spatial predictive models have been increasingly employed to generate spatial predictions for environmental management and conservation in parallel …

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Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using Machine Learning, Geostatistics, and Their Hybrid Methods

Geoscience Australia Data · Updated 17 Oct 2025

… Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using Machine Learning, Geostatistics, and Their Hybrid Methods …

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Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2,000m depth) using Generalized Additive Models

Institute of Marine Research · Updated 3 Sept 2024

Lien vers la fiche source We developed predictive distribution models of deep-sea elasmobranchs for up to 2000 …

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Data from a Systematic Literature Review of Forecasting and Predictive Models for Harmful Algal Blooms in Flowing Waters

U.S. Geological Survey · Updated 22 Jun 2026

This data release contains data and supporting information from a systematic literature review of predictive and forecasting models …

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A new R package for spatial predictive modelling: spm

Geoscience Australia Data · Updated 16 Oct 2025

… Recently developed hybrid methods of machine learning methods and geostatistics have shown their advantages in spatial predictive modelling …

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AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish

Australian Ocean Data Network · Updated 16 Jul 2026

… This study uses the published modeled (see https://doi.org/10.25959/4GVK-RM21) to take in predicted …

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AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish

Australian Ocean Data Network · Updated 7 Aug 2026

… This study uses the published modeled (see https://doi.org/10.25959/4GVK-RM21) to take in predicted …

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Code for the article "An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments" by F. Fabre, J.-B. Burie, A. Ducrot, S. Lion, Q. Richard and R. Djidjou-Demasse

Fabre, Frederic · Updated 6 Dec 2022

… An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous. Evolutionary …

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Allometric Trophic Network Model and ARENA Data for 'From a local descriptive to a generic predictive model of cereal aphid regulation by predators'

Stell, Eric · Updated 13 Apr 2024

… model used for the results of the article: 'From a local descriptive to a generic predictive model of …

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Traffic Signal Change and Clearance Interval Pooled Fund Study Intersection Summary and Crash Data

Federal Highway Administration · Updated 6 Oct 2026

… crash data that was used for the crash data modeling related to yellow change and red clearance intervals.

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Predictive metabolomics of pearl millet phenotypic traits using a germoplasm panel of genetic diversity

Pinheiro Costa Pimentel, Mariana · Updated 29 Apr 2025

Lien vers la fiche source Metabolic diversity in genotypes of the germplasm core collection of Pearl millet from …

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RTOFS Forecast, 2D, 3-Hourly Prognostic, Global, Latest Model Run, today - today+8days

NOAA NMFS SWFSC Environmental Research Division · Updated 4 Sept 2022

… Environmental Prediction is based on an eddy resolving 1/12° global HYCOM (HYbrid Coordinates Ocean Model) and is …

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Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what?

Geoscience Australia Data · Updated 18 Nov 2025

Assessing the accuracy of predictive models is critical because predictive models have been increasingly used across various disciplines …

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