Hierarchical generalized additive models in ecology: an introduction with mgcv

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RT @fbuderman: @SophieLGilbert @kaitlyngaynor @cole_burton @JasonTFisherLab @RLongEco @LabGardner @taaltree @Fabi_Iannarilli @songofdodo Ba…
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@SophieLGilbert @kaitlyngaynor @cole_burton @JasonTFisherLab @RLongEco @LabGardner @taaltree @Fabi_Iannarilli @songofdodo Basis functions/splines! Here are two overview papers (one an obvious self-promotion). Cyclic splines are good for things like time, but there are non-cyclic splines for low->high scenarios. https://t.co/ej1i7vjReh https://t.co/Iup56BBpk7
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@dr_sowards @rstatstweet @PhDVoice @AcademicChatter @OpenAcademics @ucfagls has a cool blog (https://t.co/v6J1gyqU33) plus some videos on YouTube and papers https://t.co/idxylnEk4Y https://t.co/Rxu2iqyB7y https://t.co/tLkwfYNP4A
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1746 days ago
RT @ucfagls: If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a pa…
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RT @tjmahr: @VLucet you give me too much credit! Start with Youtube talks by @noamross and @ucfagls. Then find a tutorial in your field lik…
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1766 days ago
@VLucet you give me too much credit! Start with Youtube talks by @noamross and @ucfagls. Then find a tutorial in your field like this one in ecology https://t.co/DTd8uYMPlu (I started with a linguistics tutorial.) Then the best book would be Simon Wood's Generalized Additive Models.
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1770 days ago
RT @OkadaYohei: 階層一般化加法モデルの解説　備忘録　＃備忘録 魚の種類をランダム効果として考えた温度と魚の体格の非線形な関係 Hierarchical Generalized Additive Models https://t.co/JaptuLxu83 vi…
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RT @juliakemppinen: Data & methods: We related local plant community trait composition to broad gradients of soil moisture, soil temperatu…
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1770 days ago
RT @OkadaYohei: 階層一般化加法モデルの解説　備忘録　＃備忘録 魚の種類をランダム効果として考えた温度と魚の体格の非線形な関係 Hierarchical Generalized Additive Models https://t.co/JaptuLxu83 vi…
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1770 days ago
RT @OkadaYohei: 階層一般化加法モデルの解説　備忘録　＃備忘録 魚の種類をランダム効果として考えた温度と魚の体格の非線形な関係 Hierarchical Generalized Additive Models https://t.co/JaptuLxu83 vi…
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階層一般化加法モデルの解説　備忘録　＃備忘録 魚の種類をランダム効果として考えた温度と魚の体格の非線形な関係 Hierarchical Generalized Additive Models https://t.co/JaptuLxu83 via @thePeerJ
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Data & methods: We related local plant community trait composition to broad gradients of soil moisture, soil temperature, soil pH and potential solar radiation - based on field data
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RT @ucfagls: If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a pa…
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@dan_p_simpson @Keith_Not_Kevin If you don't mind hand-waving away time series concerns, the plankton abundance data from our PeerJ paper (https://t.co/nH9SgjeCpE) is very nonlinear (seasonal peaks in Zooplankton abundance in Wisconsin lakes). Also very non-normal
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RT @ucfagls: @SwampThingPaul Depends how deep you want to understand the models and what’s going on with them. If you haven’t already perh…
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1826 days ago
RT @ucfagls: @SwampThingPaul Depends how deep you want to understand the models and what’s going on with them. If you haven’t already perh…
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@SwampThingPaul Depends how deep you want to understand the models and what’s going on with them. If you haven’t already perhaps start with https://t.co/SZEBiaprPI and https://t.co/urEJ0tJoeQ Which lay the groundwork; Simon’s book is excellent if you want more
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@JamesGrecian this is a good reference: https://t.co/vl85MQs6iC
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1878 days ago
RT @oaggimenez: If you have to use GAMs with mixed effects, check out the
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RT @oaggimenez: If you have to use GAMs with mixed effects, check out the
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RT @oaggimenez: If you have to use GAMs with mixed effects, check out the
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RT @ucfagls: If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a pa…
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1940 days ago
@phenogirl @LukasLandler @phenolab @VGStaggemeier Me talking about statistic details is the best way to confuse you... better take a look on this paper that helped me https://t.co/umx5i4CkBN
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1956 days ago
RT @oaggimenez: If you have to use GAMs with mixed effects, check out the
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RT @oaggimenez: If you have to use GAMs with mixed effects, check out the
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