Titlebook: Ecological Informatics; Data Management and Friedrich Recknagel,William K. Michener Book 2018Latest edition Springer International Publish

巨大沒有

Quality Assurance and Quality Control (QA/QC)ty control processes and procedures that are used to identify and deal with errors after they have been introduced. In addition, QA/QC activities are described that can be implemented throughout the entire data life cycle from data acquisition through analysis and preservation and general rules of t

legacy

Dorsal-Kyphosis

障礙物

Data Discoveryd the content exposed by data aggregators. Chapter . describes these various search approaches and presents seven best practices that can promote data discovery and reuse. It further emphasizes the need for data products to be uniquely identifiable and attributable to the data originators who must a

Granular

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Inferential Modelling of Population Dynamicsta. Evolutionary algorithms prove to be superior tools for developing short-term forecasting models, revealing ecological thresholds and supporting quantitative meta-analyses as demonstrated exemplarily by means of the hybrid evolutionary algorithm (HEA). A case study of Lake Müggelsee (Germany) ill

Ceremony

Gingivitis

Uncertainty Analysis by Bayesian InferenceThe development of novel methods for rigorously assessing the uncertainty underlying model predictions is one of the priorities of the modeling community. Striving for novel uncertainty analysis tools, we present the Bayesian calibration of process-based models as a methodological advancement that w

費(fèi)解

線

GIS-Based Data Synthesis and Visualizationer we address the topics synthesis and visualization in relation to following ecological issues: (1) synthesizing species distribution models relying on virtual species, (2) visualizing spatial uncertainty in species distribution based on cartograms, (3) fuzzy methods to synthesize species distribut