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Data from: Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping
- 负责人：
- DOI：
- doi:10.5061/dryad.1m8tg17
- 摘要：
- d a substantial influence on the predictive performance of the classifiers. The use of ML classifiers to create potential vegetation maps shows promise as a mor
Data from: Integrating correlation between traits improves spatial predictions of plant functional composition
- 负责人：
- DOI：
- doi:10.5061/dryad.v475g
- 摘要：
- ents. Predictive approaches traditionally model the weighted mean trait values of communities (CWMs) as a function of environmental gradients. However, mos
Data from: Optimum design of family structure and allocation of resources in association mapping with lines from multiple crosses
- 负责人：
- DOI：
- doi:10.5061/dryad.m6079
- 摘要：
- ng a simulation study, resample model averaging and cross-validation approaches. Our results show that in family mapping, the predictive power and the accuracy
Data from: Comparison of biometrical models for joint linkage association mapping
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.tg763
- 摘要：
- QTL. Model-B with the cofactors and a population effect, effectively controlled population structure and possessed a high predictive power. The varying
Data from: Spatial structure of above-ground biomass limits accuracy of carbon mapping in rainforest but large scale forest inventories can help
- 负责人：
- DOI：
- doi:10.5061/dryad.38578
- 摘要：
- it predictive models including spatial and environmental effects and tested the accuracy of the resulting maps according to their resolution using the rest of the data
Data from: Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data
- 负责人：
- DOI：
- doi:10.5061/dryad.pd44k8r
- 摘要：
- of clinical data. A predictive model utilizes the time-series data to facilitate dynamic prognosis prediction and treatment planning is warranted. Here we introduced
Data from: Modelling the area of occupancy of habitat types with remote sensing
- 负责人：
- DOI：
- doi:10.5061/dryad.p72k5
- 摘要：
- . In the absence of fine-resolution maps, predictive modelling helps in assessing the spatial distribution of vegetation cover. However, such approaches are sti
Data from: Habitat structure modifies microclimate: an approach for mapping fine-scale thermal refuge
- 负责人：
- Milling, Charlotte R.
- 关键词：
- Climate change FRAGSTATS operative temperature predictive mapping thermal map thermal refuge unmanned aerial systems UAS
- DOI：
- doi:10.5061/dryad.6kv1198
- 摘要：
- fied the relationship between vegetation structure and the thermal environment at a scale relevant to small, terrestrial animals using a new approach for mapping fine
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula
- 负责人：
- DOI：
- doi:10.5061/dryad.33cd137
- 摘要：
- lop accurate biotic baselines and quantitative predictive tools. 2. In this study, we demonstrated that satellite based remote sensing, when used jointly
Data from: A national-scale model of linear features improves predictions of farmland biodiversity
- 负责人：
- DOI：
- doi:10.5061/dryad.m5g04
- 摘要：
- data significantly improved model predictive performance for many species. For some species, the importance of linear features depended
