Spatial validation reveals poor predictive performance of large-scale ecological mapping models
نویسندگان
چکیده
منابع مشابه
Validation of Spatial Prediction Models for Landslide Hazard Mapping
This contribution discusses the problem of providing measures of significance of prediction results when the predictions were generated from spatial databases for landslide hazard mapping. The spatial databases usually contain map information on lithologic units, land-cover units, topographic elevation and derived attributes (slope, aspect, etc.) and the distribution in space and in time of cle...
متن کاملPerformance Evaluation of Dynamic Modulus Predictive Models for Asphalt Mixtures
Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...
متن کاملOn the predictive performance of queueing network models for large-scale distributed transaction processing systems
Automated business processes running on distributed transaction processing (DTP) systems characterize the IT backbone of services industries. New web services standards such as BPEL have increased the importance of DTP systems in business practice. IT departments are forced to meet pre-defined quality-of-service metrics, therefore performance prediction is essential. Unfortunately, the complexi...
متن کاملPerformance evaluation of first Iranian large scale photovoltaic power plant
In recent years, due to the fact that non-renewable energies come to an end, renewable energy is expected to provide a significant part of the future needs of Iran. Among these energies, solar energy is a suitable option for a wide range of the country, due to availability, proper radiation intensity, and high sunshine times during the year (about 300 sunny days per year). The purpose of this p...
متن کاملAdaptive Gaussian Predictive Process Models for Large Spatial Datasets.
Large point referenced datasets occur frequently in the environmental and natural sciences. Use of Bayesian hierarchical spatial models for analyzing these datasets is undermined by onerous computational burdens associated with parameter estimation. Low-rank spatial process models attempt to resolve this problem by projecting spatial effects to a lower-dimensional subspace. This subspace is det...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Communications
سال: 2020
ISSN: 2041-1723
DOI: 10.1038/s41467-020-18321-y