Improving generalized regression analysis for the spatial prediction of forest communities
about
Distribution and habitat associations of billfish and swordfish larvae across mesoscale features in the Gulf of Mexico.Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot.Components of uncertainty in species distribution analysis: a case study of the Great Grey Shrike.Spatiotemporal exploratory models for broad-scale survey data.Wetland features and landscape context predict the risk of wetland habitat loss.Livestock grazing supports native plants and songbirds in a California annual grasslandTesting the potential for predictive modeling and mapping and extending its use as a tool for evaluating management scenarios and economic valuation in the Baltic Sea (PREHAB).Ecological niche models in phylogeographic studies: applications, advances and precautions.Squares of different sizes: effect of geographical projection on model parameter estimates in species distribution modeling.Combining local- and large-scale models to predict the distributions of invasive plant species.Adaptive invasive species distribution models: a framework for modeling incipient invasionsAccounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM)Accounting for uncertainty when mapping species distributions: The need for maps of ignorancePrediction and validation of the potential global distribution of a problematic alien invasive species - the American bullfrogNaturalization of ornamental plant species in public green spaces and private gardensWhat do we gain from simplicity versus complexity in species distribution models?Prospective sampling based on model ensembles improves the detection of rare speciesUsing unclassified continuous remote sensing data to improve distribution models of red-listed plant speciesEvaluation of species distribution models by resampling of sites surveyed a century ago by Joseph GrinnellTesting the predictive performance of distribution modelsQuantification and Prediction of Biomass Yield of Temperate Low-Input High-Diversity EcosystemsGeomorphological disturbance is necessary for predicting fine-scale species distributionsClassification and mapping of the woody vegetation of Gonarezhou National Park, ZimbabweClassifying and Mapping Potential Distribution of Forest Types Using a Finite Mixture ModelModelling and mapping the suitability of European forest formations at 1-km resolution
P2860
Q30468493-CFC37D7F-5406-44CD-9F45-503C9E44029CQ30579625-64162A67-534D-4EFB-A69B-3D3134F23B91Q33399205-C4E82186-BE11-4DD9-8E4C-B434EDB947BFQ33803175-47DBE9A7-723F-49AE-91A7-45AA0B972C9FQ33921757-779BDFCC-453F-4F16-8211-59098F2FD044Q36405438-02721711-42B3-4E98-A9B2-886B870438ACQ37465730-2B69FE3E-0A5E-4E78-A17A-2DA0BB895558Q38406870-1CA24960-4523-426B-B6F0-24FF12848182Q40060688-3EC2D548-5056-4291-AD04-F5EA174B19A0Q46032410-CE686905-EAF8-46B8-9E43-49C309DCAA86Q56426572-B4081B98-66C7-40C0-966E-501C0029AE2DQ56608226-5A3ED06E-6FDB-41DD-819B-35BC0B7489F4Q56754576-0028B62F-5606-4508-9F25-CD460023A4AAQ56777550-E225A5C9-8F7B-457F-8EA2-658E810F12A7Q56923348-160B5D17-3129-42AD-846A-60493AACD0EEQ57013904-72101D09-2649-402A-A600-8A4D77D68E4CQ57014055-49BB521C-BB78-45BF-A0CC-6DCC85AD58C7Q57060277-0E6056D8-1709-4DCA-8A81-0F96D4DD2924Q57062578-6EBAF171-199B-4035-9EB9-33B111F176B5Q57205139-645751CC-6FBC-4A79-81C5-D2363C38168EQ57267123-9429FCC5-BA47-4DA0-839C-7BC70DE3FFEAQ57269858-81383AB4-462F-49A4-AE0E-B1F0A1FA73BEQ57912970-6256709B-4D44-41DC-9026-21531F0B6695Q57912993-65B053B3-DD75-453F-802D-2AE15F6787E7Q57921943-E9B9C463-489C-4A9D-AA9B-E8D723ECFA13
P2860
Improving generalized regression analysis for the spatial prediction of forest communities
description
article
@en
im Oktober 2006 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в жовтні 2006
@uk
name
Improving generalized regressi ...... ediction of forest communities
@en
Improving generalized regressi ...... ediction of forest communities
@nl
type
label
Improving generalized regressi ...... ediction of forest communities
@en
Improving generalized regressi ...... ediction of forest communities
@nl
prefLabel
Improving generalized regressi ...... ediction of forest communities
@en
Improving generalized regressi ...... ediction of forest communities
@nl
P2860
P50
P1476
Improving generalized regressi ...... ediction of forest communities
@en
P2860
P304
P356
10.1111/J.1365-2699.2006.01465.X
P577
2006-10-01T00:00:00Z