MONITORING SHOWS VEGETATION CHANGE AT MULTIPLE SCALES

Monitoring shows vegetation change at multiple scales

Several historical data sets from the UC Hopland Research and Extension Center (HREC) provide valuable information Halloween OOS on vegetation dynamics at multiple spatial and temporal scales.An early botanical survey by Harold Heady and Al Murphy provides a baseline for examining landscape-level changes in species richness and distribution over 50

read more


SDTR: Soft Decision Tree Regressor for Tabular Data

Deep neural networks have been proved a success in multiple fields.However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and decision trees when processing heterogeneous tabular data.Such models are hard to differentiate, thus inconvenient to be integrated into end-to-end settings.On t

read more