GBM models, constructed from historical data
Datasets used in: Young, A.M., Higuera, P.E., Duffy, P.A., and F.S. Hu. Climatic thresholds shape northern high-latitude fire regimes and imply vulnerability to future climate change. In Review at Ecography as of 10/2015. ---------------------------------------------------------------------- -------...
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Arctic Data Center
2015
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dataone:urn:uuid:721fba12-6ce0-49df-977f-b5d8437b16f5 2024-10-03T18:46:28+00:00 GBM models, constructed from historical data ENVELOPE(-170.0,-140.0,72.0,58.0) BEGINDATE: 1950-01-01T00:00:00Z ENDDATE: 2009-12-31T00:00:00Z 2015-12-08T16:59:39Z https://search.dataone.org/view/urn:uuid:721fba12-6ce0-49df-977f-b5d8437b16f5 unknown Arctic Data Center EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE MODELS EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST FIRE SCIENCE EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA OTHER GRID 1 KILOMETER TO 10 KILOMETERS DECADAL Dataset 2015 dataone:urn:node:ARCTIC 2024-10-03T18:08:02Z Datasets used in: Young, A.M., Higuera, P.E., Duffy, P.A., and F.S. Hu. Climatic thresholds shape northern high-latitude fire regimes and imply vulnerability to future climate change. In Review at Ecography as of 10/2015. ---------------------------------------------------------------------- ----------------------- Description ---------------------------------- ---------------------------------------------------------------------- These data are the raw results/output from the boosted regression tree modeling conducted in Young et al. (In Review). Results for each of the three models (AK, BOREAL, and TUNDRA) are located separate folders. Each folder contains 100 RData files which contain the output/results from running the 'gbm()' function in R v3.2.0 100 times. Each of the 100 gbms was built using a different subsample of available data. The 'gbm()' function is available in the 'gbm' package in R (https://cran.r-project.org/). Details regarding meta-parameter selection and model building can be found in Young et al. (In Review). ---------------------------------------------------------------------- ------------------------ File Naming --------------------------------- ---------------------------------------------------------------------- 'MODEL_gbm_xx.RData' 'MODEL_' - Three different sets of GBM models: 'AK', 'BOREAL', and 'TUNDRA' 'gbm' - Generalized boosting model '_xx' - Model number (1-100) '.RData' - File Extension Dataset Tundra Arctic Data Center (via DataONE) ENVELOPE(-170.0,-140.0,72.0,58.0) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE MODELS EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST FIRE SCIENCE EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA OTHER GRID 1 KILOMETER TO 10 KILOMETERS DECADAL |
spellingShingle |
EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE MODELS EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST FIRE SCIENCE EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA OTHER GRID 1 KILOMETER TO 10 KILOMETERS DECADAL GBM models, constructed from historical data |
topic_facet |
EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE MODELS EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST FIRE SCIENCE EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE OCCURRENCE EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA OTHER GRID 1 KILOMETER TO 10 KILOMETERS DECADAL |
description |
Datasets used in: Young, A.M., Higuera, P.E., Duffy, P.A., and F.S. Hu. Climatic thresholds shape northern high-latitude fire regimes and imply vulnerability to future climate change. In Review at Ecography as of 10/2015. ---------------------------------------------------------------------- ----------------------- Description ---------------------------------- ---------------------------------------------------------------------- These data are the raw results/output from the boosted regression tree modeling conducted in Young et al. (In Review). Results for each of the three models (AK, BOREAL, and TUNDRA) are located separate folders. Each folder contains 100 RData files which contain the output/results from running the 'gbm()' function in R v3.2.0 100 times. Each of the 100 gbms was built using a different subsample of available data. The 'gbm()' function is available in the 'gbm' package in R (https://cran.r-project.org/). Details regarding meta-parameter selection and model building can be found in Young et al. (In Review). ---------------------------------------------------------------------- ------------------------ File Naming --------------------------------- ---------------------------------------------------------------------- 'MODEL_gbm_xx.RData' 'MODEL_' - Three different sets of GBM models: 'AK', 'BOREAL', and 'TUNDRA' 'gbm' - Generalized boosting model '_xx' - Model number (1-100) '.RData' - File Extension |
format |
Dataset |
title |
GBM models, constructed from historical data |
title_short |
GBM models, constructed from historical data |
title_full |
GBM models, constructed from historical data |
title_fullStr |
GBM models, constructed from historical data |
title_full_unstemmed |
GBM models, constructed from historical data |
title_sort |
gbm models, constructed from historical data |
publisher |
Arctic Data Center |
publishDate |
2015 |
url |
https://search.dataone.org/view/urn:uuid:721fba12-6ce0-49df-977f-b5d8437b16f5 |
op_coverage |
ENVELOPE(-170.0,-140.0,72.0,58.0) BEGINDATE: 1950-01-01T00:00:00Z ENDDATE: 2009-12-31T00:00:00Z |
long_lat |
ENVELOPE(-170.0,-140.0,72.0,58.0) |
genre |
Tundra |
genre_facet |
Tundra |
_version_ |
1811928969680781312 |