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2,821 to 2,830 of 7,280 Results

07_A_NON_spatial_statistical_model_5_Jourdain_New_update.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 17.5 KB - MD5: 09093f5b1a2160cd30ca7c060f2e5850 Non spatial statistical rutting model with up to two explanatory variables (R codes)
08_A_NON_spatial_statistical_model_6_Jourdain_New_update.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 16.7 KB - MD5: f2effb1a48b8305d0b8e6cdb8df6a54d Non spatial statistical rutting model with up to one explanatory variables (R codes)
09_Results_from_fitting_all_models.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 232.8 KB - MD5: 31065f0a4aad2a3e9cc521c9a44f3196 Results from fitting spatial and non spatial statistical models (R codes)
10_inlaResults_EV14_model_1.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 659.7 MB - MD5: 99d6cb1ef2fd93fc981223725a601db7 Results from fitting the spatial model 1
11_inlaResults_EV14_model_2.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 432.2 MB - MD5: 823bfae9993d66d09c23fd0053ed284e Results from fitting the spatial model 2
12_inlaResults_EV14_model_3.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 417.2 MB - MD5: ebe9a0e578e58247bd8ce46143adbd03 Results from fitting the spatial model 3
13_inlaResults_EV14_ns.model_4.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 223.2 MB - MD5: 11ecfc153b51a4b5c3162e9af7facce6 Results from fitting the non spatial model 4
14_inlaResults_EV14_ns.model_5.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 221.1 MB - MD5: a4ba9d047af4fdc7d858f1a488c2c3b0 Results from fitting the non spatial model 5
15_inlaResults_EV14_ns.model_6.RData Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Data - 215.0 MB - MD5: 48fe52156f8c45a44da46609d5250aa6 Results from fitting the non spatial model 6
Drone-based mapping of calving rates of Borebreen in Svalbard Feb 20, 2024 Hann, Richard; Rodes, Nil; Gajek, Wojciech; Pearce, Danni; Harcourt, William, 2024, "Drone-based mapping of calving rates of Borebreen in Svalbard", https://doi.org/10.18710/B553MB, DataverseNO, V1 This database contains drone-based mapping data of the crevassed and surging glacier of Borebreen in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and...

07_A_NON_spatial_statistical_model_5_Jourdain_New_update.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 17.5 KB -

Non spatial statistical rutting model with up to two explanatory variables (R codes)

08_A_NON_spatial_statistical_model_6_Jourdain_New_update.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 16.7 KB -

Non spatial statistical rutting model with up to one explanatory variables (R codes)

09_Results_from_fitting_all_models.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 232.8 KB -

Results from fitting spatial and non spatial statistical models (R codes)

10_inlaResults_EV14_model_1.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 659.7 MB -

Results from fitting the spatial model 1

11_inlaResults_EV14_model_2.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 432.2 MB -

Results from fitting the spatial model 2

12_inlaResults_EV14_model_3.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 417.2 MB -

Results from fitting the spatial model 3

13_inlaResults_EV14_ns.model_4.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 223.2 MB -

Results from fitting the non spatial model 4

14_inlaResults_EV14_ns.model_5.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 221.1 MB -

Results from fitting the non spatial model 5

15_inlaResults_EV14_ns.model_6.RData

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Data - 215.0 MB -

Results from fitting the non spatial model 6

Drone-based mapping of calving rates of Borebreen in Svalbard

Feb 20, 2024

Hann, Richard; Rodes, Nil; Gajek, Wojciech; Pearce, Danni; Harcourt, William, 2024, "Drone-based mapping of calving rates of Borebreen in Svalbard", https://doi.org/10.18710/B553MB, DataverseNO, V1

This database contains drone-based mapping data of the crevassed and surging glacier of Borebreen in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and...

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