Introductory overview: Error metrics for hydrologic modelling–A review of common practices and an open source library to facilitate use and adoption
EK Jackson, W Roberts, B Nelsen, GP Williams… - … Modelling & Software, 2019 - Elsevier
Error metrics quantify predicted flow accuracy and compare different predictions.
Hydrologists commonly use and report metrics with little justification or discussion of the …
Hydrologists commonly use and report metrics with little justification or discussion of the …
Accounting for training data error in machine learning applied to earth observations
Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …
dynamics and create continuous and categorical maps of biophysical properties and land …
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach
to structural equation modeling (SEM), designed to overcome the apparent dichotomy …
to structural equation modeling (SEM), designed to overcome the apparent dichotomy …
Decomposition of the mean absolute error (MAE) into systematic and unsystematic components
SM Robeson, CJ Willmott - PloS one, 2023 - journals.plos.org
When evaluating the performance of quantitative models, dimensioned errors often are
characterized by sums-of-squares measures such as the mean squared error (MSE) or its …
characterized by sums-of-squares measures such as the mean squared error (MSE) or its …
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
RG Pontius Jr, M Millones - International journal of remote sensing, 2011 - Taylor & Francis
The family of Kappa indices of agreement claim to compare a map's observed classification
accuracy relative to the expected accuracy of baseline maps that can have two types of …
accuracy relative to the expected accuracy of baseline maps that can have two types of …
[PDF][PDF] A refined index of model performance
CJ Willmott, SM Robeson… - International Journal of …, 2012 - researchgate.net
In this paper, we develop, present and evaluate a refined, statistical index of model
performance. This 'new'measure (dr) is a reformulation of Willmott's index of agreement …
performance. This 'new'measure (dr) is a reformulation of Willmott's index of agreement …
Global mycorrhizal plant distribution linked to terrestrial carbon stocks
Vegetation impacts on ecosystem functioning are mediated by mycorrhizas, plant–fungal
associations formed by most plant species. Ecosystems dominated by distinct mycorrhizal …
associations formed by most plant species. Ecosystems dominated by distinct mycorrhizal …
Indicators of ecosystem service potential at European scales: mapping marginal changes and trade-offs
This study develops an approach to mapping indicators of the potential of ecosystems to
supply ecosystem services, and the impact of changes in land cover and use upon them …
supply ecosystem services, and the impact of changes in land cover and use upon them …
Sampling designs for accuracy assessment of land cover
SV Stehman - International Journal of Remote Sensing, 2009 - Taylor & Francis
The accuracy of a land cover classification is the degree to which the map land cover agrees
with the reference land cover classification (ie ground condition). The basic sampling …
with the reference land cover classification (ie ground condition). The basic sampling …
Using machine learning for direct demand modeling of ridesourcing services in Chicago
The exponential growth of ridesourcing services has been disrupting the transportation
sector and changing how people travel. As ridesourcing continues to grow in popularity …
sector and changing how people travel. As ridesourcing continues to grow in popularity …